Göteborg: PhD student in Fluidized bed production of biochar

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Publicerad: 2022-06-01 // Varaktighet: Heltid

We are now recruiting a PhD student willing to carry out research with the aim to develop new technology for efficient large-scale production of biochar which can substitute fossil fuel in the iron and steel industry. The research activities include modeling at reactor and process levels and experimental work with use of advanced measurement tools. The project includes four industrial partners providing expertize and data for evaluation of real scenarios. You will work in a division with researchers hosting a long and internationally recognized experience on different technologies for fluidized bed conversion.

Information about the research and the project
The announced position is framed within the project "Large-scale production of biocarbon as renewable feedstock in fossil-free value chains within the iron and steel industry", funded by the Swedish Energy Agency. The project aims to develop a solution in the form of a reactor concept enabling large-scale production of biocarbon which can be integrated into existing cogeneration plants. This requires knowledge of how the properties of biocarbon are affected by its mixing in the reactor and methods for controlling this. The project combines lab and industrial scale experiments with modelling, and includes research groups, technology development companies, plant owners, and the iron and steel industry. After the project, there will be a reactor concept for implementation that can provide industrial partners with up to 80 kt/y of biocarbon, i.e., about -290 kt CO2/y.

The research to be carried out by the PhD student regards the identification of key aspects, parameters and phenomena governing the technical performances of the process and the fluidized bed reactor.

-The details of the departmental research activities may be found here.

Major responsibilities
Your major responsibilities as a PhD student is to pursue your own doctoral studies. You are expected to develop your own scientific concepts and communicate the results of your research verbally and in writing. The majority of your time will be devoted to the research. PhD student positions generally also include teaching on Chalmers' undergraduate level and performing other departmental duties, corresponding in total to a maximum of 20 % of the working time. You are expected to write a mid-term licentiate thesis and defend your doctoral thesis within 5 years. In addition, the PhD program includes taking courses corresponding to 60 ECTS credits.

Qualifications
To qualify for this position you need a MSc degree corresponding to at least 240 higher education (ECTS) credits in any of the following fields of engineering: mechanical, chemical, thermal, energy, physics, process engineering, or alike. The position requires sound verbal and written communication skills in English. If Swedish is not your native language, Chalmers offers Swedish courses.

It is meritorious if you have experience in fluidized bed technology, research lab measurements, and thermal process simulations. 

Contract terms
Full-time temporary employment. The position is limited to a maximum of 5 years, with a desirable start in September. 

We offer
Chalmers offers a cultivating and inspiring working environment in the coastal city of Gothenburg. 
Read more about working at Chalmers and our benefits for employees.

Chalmers aims to actively improve our gender balance. We work broadly with equality projects, for example the GENIE Initiative on gender equality for excellence. Equality and diversity are substantial foundations in all activities at Chalmers.

Application procedure
The application should be marked with Ref 20220288 and written in English. The application should be sent electronically and be attached as pdf-files, as below:

CV: (Please name the document: CV, Family name, Ref. number)
• CV
• Other, for example previous employments or leadership qualifications and positions of trust.
• Two references that we can contact.

Personal letter: (Please name the document as: Personal letter, Family name, Ref. number)
1-3 pages where you:
• Introduce yourself
• Describe your previous experience of relevance for the position (e.g. education, thesis work and, if applicable, any other research activities)
• Describe your future goals and future research focus

Other documents:
• Copies of bachelor and/or master’s thesis.
• Attested copies and transcripts of completed education, grades and other certificates, e.g. TOEFL test results.

Please use the button at the foot of the page to reach the application form. The files may be compressed (zipped).

Application deadline: 30/6 2022

For questions, please contact:
Prof. David Pallarès, Div. Energy Technology,
david.pallares@chalmers.se
0733689627

*** Chalmers declines to consider all offers of further announcement publishing or other types of support for the recruiting process in connection with this position. *** 
   



Chalmers University of Technology conducts research and education in engineering sciences, architecture, technology-related mathematical sciences, natural and nautical sciences, working in close collaboration with industry and society. The strategy for scientific excellence focuses on our six Areas of Advance; Energy, Health Engineering, Information and Communication Technology, Materials Science, Production and Transport. The aim is to make an active contribution to a sustainable future using the basic sciences as a foundation and innovation and entrepreneurship as the central driving forces. Chalmers has around 11,000 students and 3,000 employees. New knowledge and improved technology have characterised Chalmers since its foundation in 1829, completely in accordance with the will of William Chalmers and his motto: Avancez!

Chalmers Tekniska Högskola AB

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PhD student in AI / Machine Learning - Reinforcement Learning

Chalmers Tekniska Högskola AB
Doktorand
Läs mer Feb 29
This PhD position offers a unique opportunity to dive into the exciting area of reinforcement learning within the broader landscape of AI and machine learning. As a candidate, you'll have the chance to develop exciting theoretical concepts and innovative methodologies, all while making tangible contributions to real-world applications with practical impact. Moreover, the PhD student will enjoy working in a diverse, collaborative, supportive and internationally recognized environment with collaborations with a number of internationally leading research groups.

About the position
This position revolves around the fundamental principles of AI and machine learning, with a specific emphasis on reinforcement learning. Machine learning encompasses a range of data-driven techniques that derive models for tasks such as prediction, exploratory data analysis, and explanation. The primary focus of this position is on reinforcement learning which examines the interactions between an agent and its environment, aiming to maximize cumulative rewards (to reach the goal as efficient as possible). Within this project, we will develop novel reinforcement learning methods considering aspects such as sample efficiency, robustness, efficient training and inference, multi-agent reinforcement learning, etc. This position will explore fascinating theories and innovative methods while also giving you the chance to investigate them in interesting real-world applications.

The research group of Morteza Haghir Chehreghani is based in the Division of Data Science & AI (DSAI) in the Department of Computer Science and Engineering (CSE). Our primary focus lies in the development of advanced AI and machine learning methods and their application across various domains. Currently, our research is concentrated on areas such as reinforcement learning, decision making under uncertainty, unsupervised learning, and generative AI.

Information about the division and the department
The CSE department is a joint department at Chalmers University of Technology and the University of Gothenburg, with activities on two campuses in the city of Gothenburg. The department is divided into four divisions, and employs around 270 people from over 30 countries. Research in the department has a wide span, from theoretical foundations to applied systems development. We provide high quality education at the bachelor's, master's, and graduate levels, offering over 120 courses each year. The Data Science & AI (DSAI) division is one of four divisions in department with focus on fundamental and applied research on AI and machine learning at high international standards. Research in our division is collaborative and interdisciplinary with strong connections to various industries (e.g., pharmaceutical, transport and energy sectors).

Major responsibilities
The major responsibilities for a PhD student position in the division include conducting doctoral research within the framework of the outlined research project and coursework. The PhD student will be enrolled in a graduate program in the Department of Computer Science and Engineering.

The PhD student is expected to develop novel ideas and communicate scientific results orally as well as in written form. In addition, the position includes 20% departmental work, mostly as a teaching assistant in Chalmers' undergraduate and masters-level courses or performing other departmental tasks.

Read more about doctoral studies at Chalmers here.

Qualifications
To qualify as a PhD student, you must have a master's level degree corresponding to at least 240 higher education credits in a relevant field.

The position requires sound verbal and written communication skills in English. If Swedish is not your native language, Chalmers offers Swedish courses.

Contract terms
Full-time temporary employment. The position is limited to a maximum of five years.

We offer
Chalmers offers a cultivating and inspiring working environment in the coastal city of Gothenburg. 
Read more about working at Chalmers and our benefits for employees.

Chalmers aims to actively improve our gender balance. We work broadly with equality projects, for example the GENIE Initiative on gender equality for excellence. Equality and diversity are substantial foundations in all activities at Chalmers.

Application procedure
The application should be marked with reference number 20240146 and written in English. The application should be sent electronically and be attached as PDF-files, as below. Maximum size for each file is 40 MB. Please note that the system does not support Zip files.

CV: (Please name the document: CV, Family name, reference number)
• CV
• Other, for example previous employments or leadership qualifications and positions of trust.
• Two references that we can contact.

Personal letter: (Please name the document as: Personal letter, Family name, ref.number)
1-3 pages where you:
• Introduce yourself
• Describe your previous experience of relevance for the position (e.g. education, thesis work and, if applicable, any other research activities)
• Describe your future goals and future research focus

Other documents:
• Copies of bachelor and/or master’s thesis.
• Attested copies and transcripts of completed education, grades and other certificates, e.g. TOEFL test results.

Use the button at the foot of the page to reach the application form. 

Please note: The applicant is responsible for ensuring that the application is complete. Incomplete applications and applications sent by email will not be considered.


Application deadline: 2024-06-10



For questions, please contact:
Associate Professor Morteza Haghir Chehreghani, Data Science & AI division, CSE,
morteza.chehreghani@chalmers.se

Ansök nu

Post-doc in energy systems modeling

Chalmers Tekniska Högskola AB
Doktorand
Läs mer Apr 17
Join our dynamic research team in exploring carbon management in the energy system. Our project aims to assess the role of carbon capture, utilisation and sequestration for achieving negative greenhouse gas emissions in the sector-coupled European energy system, and to identify resilient strategies for competing carbon usage options such as e-fuel production and carbon sequestration. The successful candidate will have the opportunity to contribute policy-relevant knowledge on negative emissions in the energy system, in collaboration with a strong international network of energy system model developers.

Information about the division and the department
The division of Physical Resource Theory is one of five divisions within the department of Space, Earth and Environment. The Division of Physical Resource Theory offers an interdisciplinary research environment that relies on a range of different scientific methods, from energy system modelling and agent-based modelling, to remote sensing, econometrics and surveys. Our aim is to advance challenge-driven scientific excellence by crossing traditional disciplinary boundaries and increasing the level of cross-collaboration in environmental research and with society at large. The division has around 50 staff members, faculty, and PhD-students with diverse expertise, including engineers and natural and social scientists. We also offer courses in areas related to our research.

The project is part of a European project centering on the state-of-the-art European energy system model PyPSA-Eur and focuses on assessing future roles of bioenergy with carbon capture (BECC) and direct air capture (DAC) to provide carbon to produce chemicals, plastics and fuels or provide negative emissions. The post-doc will be responsible for further developing PyPSA-Eur in collaboration with an international network of researchers, especially to enhance details on carbon management in all energy sectors and on carbon utilisation and storage. An aim is to identify resilient strategies for competing carbon usage options such as e-fuel production and carbon storage. The successful candidate is expected to perform and publish high-quality research, in collaboration with the research team. The research group consists of experienced energy system modelers with a strong international network in energy system modeling and carbon management.

The postdoc position is a full-time temporary employment for two years. The position can be extended up to four years. Teaching can be included up to 20%.

Major responsibilities
Further developing PyPSA-Eur, especially on carbon management.

Publishing research articles in high-level journals and presenting research findings in international conferences

Collaboration with the international community of PyPSA-developers and energy system modelers

Staying current with developments in the field of energy systems and carbon management, and incorporating new knowledge into the project as appropriate.

Completing other tasks as assigned by the project lead to ensure the success of the project.

Qualifications
We are seeking a highly motivated person with a PhD in Energy Systems Modeling or a quantitative discipline and a strong publication record. The ideal candidate will have a strong background in energy systems analysis and/or experience with modeling carbon management in the energy system.

To qualify for the position of postdoc, you must hold a doctoral degree awarded no more than three years prior to the application deadline (according to the current agreement with the Swedish Agency for Government Employers). The position requires sound verbal and written communication skills in English. Swedish is not a requirement but Chalmers offers Swedish courses.

Contract terms
The postdoc position is a full-time temporary employment for two years. The position can be extended up to four years. Teaching can be included up to 20%.

We offer
Chalmers offers a cultivating and inspiring working environment in the coastal city of Gothenburg. 
Read more about working at Chalmers and our benefits for employees.

Chalmers aims to actively improve our gender balance. We work broadly with equality projects, for example the GENIE Initiative on gender equality for excellence. Equality and diversity are substantial foundations in all activities at Chalmers.

Application procedure
The application should be marked with Ref 20230616 and written in English. The application should be sent electronically and be attached as PDF-files, as below. Maximum size for each file is 40 MB. Please note that the system does not support Zip files.

CV: (Please name the document as: CV, Surname, Ref. number) including:
• CV, include complete list of publications
• Previous teaching and pedagogical experiences
• Two references that we can contact.

Personal letter: (Please name the document as: Personal letter, Family name, Ref. number)
1-3 pages where you:
• Introduce yourself
• Describe your previous research fields and main research results
• Describe a brief method proposal to address a research question relevant to the position (2 pages). We put emphasis on the research statement.

Other documents:
• Attested copies of completed education, grades and other certificates.

Use the button at the foot of the page to reach the application form.


We will start revieweing applications from May 6th. The position will remain open until filled.

For questions, please contact:
Markus Millinger,
markus.millinger@chalmers.se, +46730397546

 



Chalmers University of Technology conducts research and education in engineering sciences, architecture, technology-related mathematical sciences, natural and nautical sciences, working in close collaboration with industry and society. The strategy for scientific excellence focuses on our six Areas of Advance; Energy, Health Engineering, Information and Communication Technology, Materials Science, Production and Transport. The aim is to make an active contribution to a sustainable future using the basic sciences as a foundation and innovation and entrepreneurship as the central driving forces. Chalmers has around 11,000 students and 3,000 employees. New knowledge and improved technology have characterised Chalmers since its foundation in 1829, completely in accordance with the will of William Chalmers and his motto: Avancez!

Ansök nu

PhD position in bioinformatics and artificial intelligence

Chalmers Tekniska Högskola AB
Doktorand
Läs mer Apr 16
One Ph.D. position is available in bioinformatics with a focus on large-scale data analysis using artificial intelligence. The research project is centered around DNA sequence analysis, inference in biological networks, and modeling of evolution. The primary applications will be related to antibiotic resistance and bacterial genomics.

The future of life science is data-driven. Will you be part of that change? Then join us in this unique program!

About the position
Data-driven life science (DDLS) uses data, computational methods and artificial intelligence to study biological systems and processes at all levels, from molecular structures and cellular processes to human health and global ecosystems. The SciLifeLab and Wallenberg National Program for Data- Driven Life Science (DDLS) aims (https://www.scilifelab.se/data-driven/) to recruit and train the next-generation of data-driven life scientists and to create globally leading computational and data science capabilities in Sweden. The program is funded with a total of 3.1 billion SEK (about 290 MUSD) over 12 years from the Knut and Alice Wallenberg (KAW) Foundation.

During 2024 the DDLS Research School will be launched with the recruitment of 20 academic and 7 industrial PhD students. During the course of the DDLS program more than 260 PhD students and 200 postdocs will be part of the Research School. The DDLS program has four strategic areas: cell and molecular biology, evolution and biodiversity, precision medicine and diagnostics, epidemiology and biology of infection. For more information, please see https://www.scilifelab.se/data-driven/ddls-research-school/

The position is in the field of data-driven epidemiology and biology of infection, which covers research that will transform our understanding of pathogens, their interactions with hosts and the environment, and how they are transmitted through populations. The research in this field have a strong focus on computational analysis or predictive modelling of pathogen biology or host-microbe systems for which multidimensional, genome-scale experimental data are now available or it may use population-scale genetic, clinical, or public health data from pathogen surveillance efforts and biobanks.

The position is interdisciplinary and combines mathematics and computer science with applications in biology in medicine.  A substantial part of the research will therefore be done in close collaboration with scientists from different disciplines. The Ph.D. position will be supervised by  Professor Erik Kristiansson and will be part of a research group combining multiple competencies. The position will be co-supervised by Professor Joakim Larsson at the Department of Infectious Diseases, University of Gothenburg, Johan Bengtsson-Palme, Chalmers University of Technology, and Dr. Anna Johnning, Fraunhofer-Chalmers Centre.

Information about the division and the department
The Department of Mathematical Sciences at Chalmers University of Technology and the University of Gothenburg has about 200 employees and is the largest department of mathematics in Sweden. The department has three scientific divisions: Algebra and Geometry, Analysis and Probability Theory, and Applied Mathematics and Statistics, and conducts successful research in pure and applied mathematics and mathematical statistics in a wide range of research areas. We have an international environment with frequent exchanges with other universities around the world. The department provides a friendly, creative, and supportive atmosphere with a steady flow of international guests. There are many committed teachers with extensive and broad experience in all aspects of higher education.

Our department continuously strives to be an attractive employer. Equality and diversity are substantial foundations in all our activities. We work actively to be a parent-friendly organization.

Major responsibilities
You will be enrolled in a graduate program in Applied Mathematics or Bioscience depending on your background. You will also be part of the CARe – the Centre for Antibiotic Resistance Research in Gothenburg, an interdisciplinary excellence center connecting multiple universities and hospitals in the region. As a Ph.D. student, you are expected to develop your own ideas and communicate scientific results orally as well as in written form. In addition, the position will normally include 20 % departmental work, mostly teaching duties.

Your major responsibilities are to pursue your own doctoral studies. You are expected to develop your own scientific concepts and communicate the results of your research verbally and in writing. The position generally also includes teaching on Chalmers' undergraduate level or performing other duties corresponding to 20 per cent of working hours.

Read more about doctoral studies at Chalmers here.

Qualifications
Candidates for this position must have obtained an M.Sc. degree in bioinformatics, mathematical statistics, mathematics, computer science, physics, molecular biology, or any equivalent topic (obtained latest October 1, 2024). Previous experience in analysis of large-scale biological data is desirable.

Candidates should also have good computing and programming skills (e.g. Python and R), experience in the Linux/UNIX computer environment, and, preferably, previous experience in working with machine learning and/or artificial intelligence. Good presentation and communication skills in oral and written English are also required.

Contract terms
Full-time temporary employment. The position is limited to a maximum of five years.

For more information about what we offer, please visit Chalmers website.

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Postdoctoral fellow in optical transport network security

Chalmers Tekniska Högskola AB
Doktorand
Läs mer Apr 8
This position at the department of Electrical Engineering is an opportunity to be a part of creative and globally relevant research network addressing communication network security. By combining AI/ML and networking knowledge, you will be able to take initiative, design, and implement functionalities for enhancing the achievable levels of 5G network security. The developed techniques may be validated on cutting-edge network management frameworks in collaboration with our international research partners. Ultimately, the research carried out in this project has the potential to improve sustainability of the global communication network infrastructure.

Information about the research
Optical communication network infrastructure forms the backbone of today's information society, but is vulnerable to various attacks that jeopardize secure operation of upper layer network services. This research project, funded by the European Commission, aims at developing an encompassing 5G cybersecurity toolbox. The role of the Chalmers team in the project is to address the transport optical network segment security challenges. Specifically, we will develop processes for security assurance of transport network control and management, and investigate the concrete vulnerabilities of SDN controlled network components in virtualized scenarios. We will then focus on developing tools for risk mitigation in 5G networks associated with the control and management of the network and compute infrastructure. For the control of the network infrastructure using SDN, emphasis will be given on identifying optimal solutions that prevent malicious attacks or unauthorized access to the network. Attention will be put on development of intelligent solutions based on AI/ML to continuously monitor the status of the SDN components, and intelligent policy control mechanisms preventing the installation of rules that may cause instabilities. Finally, we will develop mitigating measures supporting 5G Lifecycle Management through network slicing and virtual network function placement.

Major responsibilities
Your main responsibilities as postdoctoral researcher are related to conducting cutting-edge research and disseminating scientific outcomes in top-tier journals and conferences. You will have the freedom to independently formulate and solve research problems in line with the work envisioned by the international research project you will be a part of. You will have an opportunity to take initiative on suitable project tasks and tightly collaborate with project partners from leading European universities and companies. Depending on your preferences, you may also be involved in supervision of Ph.D. and M.Sc. students. The position is meritorious for future roles within academia and industry.

Qualifications
Mandatory
-) Ph.D. degree in Electrical Engineering, Computer Science, Telecommunications, or similar.
-) Knowledge of SDN-based communication networks, network virtualization and/or network security (not necessarily all of them)
-) Experience in communication network design and optimization techniques
-) Experience in applying AI/ML methods to management and operation of communication infrastructures, including monitoring, security, and service provisioning
-) Ability and motivation to carry-on high-quality research
-) Strong track record demonstrated by publications in Q1 journals and top-tier international conferences
-) Programming skills
-) Openness and creativity

Desirable
-) Courses and experience with 5G networks and systems
-) International scientific and/or industry collaboration experience
-) Participation in conferences

To qualify for the position of postdoc, you must hold a doctoral degree awarded no more than three years prior to the application deadline (according to the current agreement with the Swedish Agency for Government Employers).
The position requires sound verbal and written communication skills in English. Swedish is not a requirement but Chalmers offers Swedish courses.

You are expected to be somewhat accustomed to teaching, and to demonstrate good potential within research and education.

Contract terms
This postdoc position is a full-time temporary employment for two years.

For more information about what we offer and the application procedure, please visit Chalmers webpage.
See link: Postdoctoral fellow in optical transport network security

*** Chalmers declines to consider all offers of further announcement publishing or other types of support for the recruiting process in connection with this position. *** 





Chalmers University of Technology conducts research and education in engineering sciences, architecture, technology-related mathematical sciences, natural and nautical sciences, working in close collaboration with industry and society. The strategy for scientific excellence focuses on our six Areas of Advance; Energy, Health Engineering, Information and Communication Technology, Materials Science, Production and Transport. The aim is to make an active contribution to a sustainable future using the basic sciences as a foundation and innovation and entrepreneurship as the central driving forces. Chalmers has around 11,000 students and 3,000 employees. New knowledge and improved technology have characterised Chalmers since its foundation in 1829, completely in accordance with the will of William Chalmers and his motto: Avancez!

Ansök nu

PhD student in Neuro-symbolic AI for Mathematical Discovery

Chalmers Tekniska Högskola AB
Doktorand
Läs mer Apr 17
The goal of this project is to develop new methods for assisting mathematical discovery, by leveraging recent developments in generative AI (large language models) with symbolic systems (here proof-assistants) via a neuro-symbolic architecture. This takes advantage of AI systems with different strengths: generative AI-systems provide creativity, but are potentially unreliable and may hallucinate, while classical symbolic methods are rigid but reliable and can robustly check the correctness of results.

Project description
Generative AI, with tools like ChatGPT, driven by Large Language Models (LLMs), have in the past year demonstrated impressive capabilities in generation of not only fluent text but also computer code. They take instructions in natural language and can perform seemingly creative tasks very well. However, LLMs can be unreliable: a well-known issue is hallucinations where seemingly sensible but incorrect answers are produced, and their reasoning capabilities are fragile.

Research mathematicians are increasingly staring to use computers to assist in their research, not least in cases where proofs turn out to be so large that it is impossible to check each step manually (a amous example is Thomas Hales' proof of Kepler's conjecture). Proof-assistants are software designed for exactly this: keeping track of precise definitions and checking each step of the proof. However, using a proof assistant requires both expertise in how to program them, and libraries of foundational mathematics to already be in place.

We believe that LLMs has the potential to speed up this process and even provide creative suggestions to working mathematicians. But not on their own: Proof assistants have the complementary capabilities missing for this to work. The goal of this proposal is therefore to bring LLMs and proof assistants together via a neuro-symbolic architechture.

Information about the division and the department
The PhD student will be supervised by Moa Johansson in the Data Science and AI division, and co-supervised Thierry Coquand in the Type Theory group in the Computing Science division. Johansson's group focuses on neuro-symbolic AI in domains ranging from natural language to cognitive science and mathematics, while the group of Coquand is famous for work in type theory and the development of the proof assistant Agda.

This project is funded by WASP (https://wasp-sweden.org), and the student will be part of the WASP graduate school which offers excellent courses, study trips and networking opportunities with researchers working in AI across Sweden and abroad.

Major responsibilities
We are looking for a PhD student with an interest in neuro-symbolic AI (machine learning and symbolic methods) to work as a researcher on this project, which will include both implementation work and experimentation. It is an advantage to have some experience of functional programming, in addition to experience with machine learning.

The PhD position is funded for five years, of which 80% is research and 20% is teaching.

Read more about doctoral studies at Chalmers here.

Qualifications
The candidate should have (or shortly be about to finish) a MSc degree in e.g. Computer Science, AI, mathematics or other relevant fields.

To qualify as a PhD student, you must have a master's level degree corresponding to at least 240 higher education credits in a relevant field.

The position requires sound verbal and written communication skills in English. If Swedish is not your native language, Chalmers offers Swedish courses.

Contract terms
Full-time temporary employment. The position is limited to a maximum of five years.

We offer
Chalmers offers a cultivating and inspiring working environment in the coastal city of Gothenburg. 
Read more about working at Chalmers and our benefits for employees.

Chalmers aims to actively improve our gender balance. We work broadly with equality projects, for example the GENIE Initiative on gender equality for excellence. Equality and diversity are substantial foundations in all activities at Chalmers.

Application procedure
The application should be marked with reference number 20240250 and written in English. The application should be sent electronically and be attached as PDF-files, as below. Maximum size for each file is 40 MB. Please note that the system does not support Zip files.

CV: (Please name the document: CV, Family name, reference number)
• CV
• Other, for example previous employments or leadership qualifications and positions of trust.
• Two references that we can contact.

Personal letter: (Please name the document as: Personal letter, Family name, ref.number)
1-3 pages where you:
• Introduce yourself
• Describe your previous experience of relevance for the position (e.g. education, thesis work and, if applicable, any other research activities)
• Describe your future goals and future research focus

Other documents:
• Copies of bachelor and/or master’s thesis.
• Attested copies and transcripts of completed education, grades and other certificates, e.g. TOEFL test results.

Use the button at the foot of the page to reach the application form. 

Please note: The applicant is responsible for ensuring that the application is complete. Incomplete applications and applications sent by email will not be considered.


Application deadline: 2024-05-31



For questions, please contact:
Associate Professor Moa Johansson
moa.johansson@chalmers.se

Ansök nu

Andra jobb i Göteborg från Chalmers Tekniska Högskola AB

Nedan visas andra jobb i Göteborg från Chalmers Tekniska Högskola AB .

PhD student in AI / Machine Learning - Reinforcement Learning

Chalmers Tekniska Högskola AB
Doktorand
Läs mer Feb 29
This PhD position offers a unique opportunity to dive into the exciting area of reinforcement learning within the broader landscape of AI and machine learning. As a candidate, you'll have the chance to develop exciting theoretical concepts and innovative methodologies, all while making tangible contributions to real-world applications with practical impact. Moreover, the PhD student will enjoy working in a diverse, collaborative, supportive and internationally recognized environment with collaborations with a number of internationally leading research groups.

About the position
This position revolves around the fundamental principles of AI and machine learning, with a specific emphasis on reinforcement learning. Machine learning encompasses a range of data-driven techniques that derive models for tasks such as prediction, exploratory data analysis, and explanation. The primary focus of this position is on reinforcement learning which examines the interactions between an agent and its environment, aiming to maximize cumulative rewards (to reach the goal as efficient as possible). Within this project, we will develop novel reinforcement learning methods considering aspects such as sample efficiency, robustness, efficient training and inference, multi-agent reinforcement learning, etc. This position will explore fascinating theories and innovative methods while also giving you the chance to investigate them in interesting real-world applications.

The research group of Morteza Haghir Chehreghani is based in the Division of Data Science & AI (DSAI) in the Department of Computer Science and Engineering (CSE). Our primary focus lies in the development of advanced AI and machine learning methods and their application across various domains. Currently, our research is concentrated on areas such as reinforcement learning, decision making under uncertainty, unsupervised learning, and generative AI.

Information about the division and the department
The CSE department is a joint department at Chalmers University of Technology and the University of Gothenburg, with activities on two campuses in the city of Gothenburg. The department is divided into four divisions, and employs around 270 people from over 30 countries. Research in the department has a wide span, from theoretical foundations to applied systems development. We provide high quality education at the bachelor's, master's, and graduate levels, offering over 120 courses each year. The Data Science & AI (DSAI) division is one of four divisions in department with focus on fundamental and applied research on AI and machine learning at high international standards. Research in our division is collaborative and interdisciplinary with strong connections to various industries (e.g., pharmaceutical, transport and energy sectors).

Major responsibilities
The major responsibilities for a PhD student position in the division include conducting doctoral research within the framework of the outlined research project and coursework. The PhD student will be enrolled in a graduate program in the Department of Computer Science and Engineering.

The PhD student is expected to develop novel ideas and communicate scientific results orally as well as in written form. In addition, the position includes 20% departmental work, mostly as a teaching assistant in Chalmers' undergraduate and masters-level courses or performing other departmental tasks.

Read more about doctoral studies at Chalmers here.

Qualifications
To qualify as a PhD student, you must have a master's level degree corresponding to at least 240 higher education credits in a relevant field.

The position requires sound verbal and written communication skills in English. If Swedish is not your native language, Chalmers offers Swedish courses.

Contract terms
Full-time temporary employment. The position is limited to a maximum of five years.

We offer
Chalmers offers a cultivating and inspiring working environment in the coastal city of Gothenburg. 
Read more about working at Chalmers and our benefits for employees.

Chalmers aims to actively improve our gender balance. We work broadly with equality projects, for example the GENIE Initiative on gender equality for excellence. Equality and diversity are substantial foundations in all activities at Chalmers.

Application procedure
The application should be marked with reference number 20240146 and written in English. The application should be sent electronically and be attached as PDF-files, as below. Maximum size for each file is 40 MB. Please note that the system does not support Zip files.

CV: (Please name the document: CV, Family name, reference number)
• CV
• Other, for example previous employments or leadership qualifications and positions of trust.
• Two references that we can contact.

Personal letter: (Please name the document as: Personal letter, Family name, ref.number)
1-3 pages where you:
• Introduce yourself
• Describe your previous experience of relevance for the position (e.g. education, thesis work and, if applicable, any other research activities)
• Describe your future goals and future research focus

Other documents:
• Copies of bachelor and/or master’s thesis.
• Attested copies and transcripts of completed education, grades and other certificates, e.g. TOEFL test results.

Use the button at the foot of the page to reach the application form. 

Please note: The applicant is responsible for ensuring that the application is complete. Incomplete applications and applications sent by email will not be considered.


Application deadline: 2024-06-10



For questions, please contact:
Associate Professor Morteza Haghir Chehreghani, Data Science & AI division, CSE,
morteza.chehreghani@chalmers.se

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Post-doc in energy systems modeling

Chalmers Tekniska Högskola AB
Doktorand
Läs mer Apr 17
Join our dynamic research team in exploring carbon management in the energy system. Our project aims to assess the role of carbon capture, utilisation and sequestration for achieving negative greenhouse gas emissions in the sector-coupled European energy system, and to identify resilient strategies for competing carbon usage options such as e-fuel production and carbon sequestration. The successful candidate will have the opportunity to contribute policy-relevant knowledge on negative emissions in the energy system, in collaboration with a strong international network of energy system model developers.

Information about the division and the department
The division of Physical Resource Theory is one of five divisions within the department of Space, Earth and Environment. The Division of Physical Resource Theory offers an interdisciplinary research environment that relies on a range of different scientific methods, from energy system modelling and agent-based modelling, to remote sensing, econometrics and surveys. Our aim is to advance challenge-driven scientific excellence by crossing traditional disciplinary boundaries and increasing the level of cross-collaboration in environmental research and with society at large. The division has around 50 staff members, faculty, and PhD-students with diverse expertise, including engineers and natural and social scientists. We also offer courses in areas related to our research.

The project is part of a European project centering on the state-of-the-art European energy system model PyPSA-Eur and focuses on assessing future roles of bioenergy with carbon capture (BECC) and direct air capture (DAC) to provide carbon to produce chemicals, plastics and fuels or provide negative emissions. The post-doc will be responsible for further developing PyPSA-Eur in collaboration with an international network of researchers, especially to enhance details on carbon management in all energy sectors and on carbon utilisation and storage. An aim is to identify resilient strategies for competing carbon usage options such as e-fuel production and carbon storage. The successful candidate is expected to perform and publish high-quality research, in collaboration with the research team. The research group consists of experienced energy system modelers with a strong international network in energy system modeling and carbon management.

The postdoc position is a full-time temporary employment for two years. The position can be extended up to four years. Teaching can be included up to 20%.

Major responsibilities
Further developing PyPSA-Eur, especially on carbon management.

Publishing research articles in high-level journals and presenting research findings in international conferences

Collaboration with the international community of PyPSA-developers and energy system modelers

Staying current with developments in the field of energy systems and carbon management, and incorporating new knowledge into the project as appropriate.

Completing other tasks as assigned by the project lead to ensure the success of the project.

Qualifications
We are seeking a highly motivated person with a PhD in Energy Systems Modeling or a quantitative discipline and a strong publication record. The ideal candidate will have a strong background in energy systems analysis and/or experience with modeling carbon management in the energy system.

To qualify for the position of postdoc, you must hold a doctoral degree awarded no more than three years prior to the application deadline (according to the current agreement with the Swedish Agency for Government Employers). The position requires sound verbal and written communication skills in English. Swedish is not a requirement but Chalmers offers Swedish courses.

Contract terms
The postdoc position is a full-time temporary employment for two years. The position can be extended up to four years. Teaching can be included up to 20%.

We offer
Chalmers offers a cultivating and inspiring working environment in the coastal city of Gothenburg. 
Read more about working at Chalmers and our benefits for employees.

Chalmers aims to actively improve our gender balance. We work broadly with equality projects, for example the GENIE Initiative on gender equality for excellence. Equality and diversity are substantial foundations in all activities at Chalmers.

Application procedure
The application should be marked with Ref 20230616 and written in English. The application should be sent electronically and be attached as PDF-files, as below. Maximum size for each file is 40 MB. Please note that the system does not support Zip files.

CV: (Please name the document as: CV, Surname, Ref. number) including:
• CV, include complete list of publications
• Previous teaching and pedagogical experiences
• Two references that we can contact.

Personal letter: (Please name the document as: Personal letter, Family name, Ref. number)
1-3 pages where you:
• Introduce yourself
• Describe your previous research fields and main research results
• Describe a brief method proposal to address a research question relevant to the position (2 pages). We put emphasis on the research statement.

Other documents:
• Attested copies of completed education, grades and other certificates.

Use the button at the foot of the page to reach the application form.


We will start revieweing applications from May 6th. The position will remain open until filled.

For questions, please contact:
Markus Millinger,
markus.millinger@chalmers.se, +46730397546

 



Chalmers University of Technology conducts research and education in engineering sciences, architecture, technology-related mathematical sciences, natural and nautical sciences, working in close collaboration with industry and society. The strategy for scientific excellence focuses on our six Areas of Advance; Energy, Health Engineering, Information and Communication Technology, Materials Science, Production and Transport. The aim is to make an active contribution to a sustainable future using the basic sciences as a foundation and innovation and entrepreneurship as the central driving forces. Chalmers has around 11,000 students and 3,000 employees. New knowledge and improved technology have characterised Chalmers since its foundation in 1829, completely in accordance with the will of William Chalmers and his motto: Avancez!

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PhD position in bioinformatics and artificial intelligence

Chalmers Tekniska Högskola AB
Doktorand
Läs mer Apr 16
One Ph.D. position is available in bioinformatics with a focus on large-scale data analysis using artificial intelligence. The research project is centered around DNA sequence analysis, inference in biological networks, and modeling of evolution. The primary applications will be related to antibiotic resistance and bacterial genomics.

The future of life science is data-driven. Will you be part of that change? Then join us in this unique program!

About the position
Data-driven life science (DDLS) uses data, computational methods and artificial intelligence to study biological systems and processes at all levels, from molecular structures and cellular processes to human health and global ecosystems. The SciLifeLab and Wallenberg National Program for Data- Driven Life Science (DDLS) aims (https://www.scilifelab.se/data-driven/) to recruit and train the next-generation of data-driven life scientists and to create globally leading computational and data science capabilities in Sweden. The program is funded with a total of 3.1 billion SEK (about 290 MUSD) over 12 years from the Knut and Alice Wallenberg (KAW) Foundation.

During 2024 the DDLS Research School will be launched with the recruitment of 20 academic and 7 industrial PhD students. During the course of the DDLS program more than 260 PhD students and 200 postdocs will be part of the Research School. The DDLS program has four strategic areas: cell and molecular biology, evolution and biodiversity, precision medicine and diagnostics, epidemiology and biology of infection. For more information, please see https://www.scilifelab.se/data-driven/ddls-research-school/

The position is in the field of data-driven epidemiology and biology of infection, which covers research that will transform our understanding of pathogens, their interactions with hosts and the environment, and how they are transmitted through populations. The research in this field have a strong focus on computational analysis or predictive modelling of pathogen biology or host-microbe systems for which multidimensional, genome-scale experimental data are now available or it may use population-scale genetic, clinical, or public health data from pathogen surveillance efforts and biobanks.

The position is interdisciplinary and combines mathematics and computer science with applications in biology in medicine.  A substantial part of the research will therefore be done in close collaboration with scientists from different disciplines. The Ph.D. position will be supervised by  Professor Erik Kristiansson and will be part of a research group combining multiple competencies. The position will be co-supervised by Professor Joakim Larsson at the Department of Infectious Diseases, University of Gothenburg, Johan Bengtsson-Palme, Chalmers University of Technology, and Dr. Anna Johnning, Fraunhofer-Chalmers Centre.

Information about the division and the department
The Department of Mathematical Sciences at Chalmers University of Technology and the University of Gothenburg has about 200 employees and is the largest department of mathematics in Sweden. The department has three scientific divisions: Algebra and Geometry, Analysis and Probability Theory, and Applied Mathematics and Statistics, and conducts successful research in pure and applied mathematics and mathematical statistics in a wide range of research areas. We have an international environment with frequent exchanges with other universities around the world. The department provides a friendly, creative, and supportive atmosphere with a steady flow of international guests. There are many committed teachers with extensive and broad experience in all aspects of higher education.

Our department continuously strives to be an attractive employer. Equality and diversity are substantial foundations in all our activities. We work actively to be a parent-friendly organization.

Major responsibilities
You will be enrolled in a graduate program in Applied Mathematics or Bioscience depending on your background. You will also be part of the CARe – the Centre for Antibiotic Resistance Research in Gothenburg, an interdisciplinary excellence center connecting multiple universities and hospitals in the region. As a Ph.D. student, you are expected to develop your own ideas and communicate scientific results orally as well as in written form. In addition, the position will normally include 20 % departmental work, mostly teaching duties.

Your major responsibilities are to pursue your own doctoral studies. You are expected to develop your own scientific concepts and communicate the results of your research verbally and in writing. The position generally also includes teaching on Chalmers' undergraduate level or performing other duties corresponding to 20 per cent of working hours.

Read more about doctoral studies at Chalmers here.

Qualifications
Candidates for this position must have obtained an M.Sc. degree in bioinformatics, mathematical statistics, mathematics, computer science, physics, molecular biology, or any equivalent topic (obtained latest October 1, 2024). Previous experience in analysis of large-scale biological data is desirable.

Candidates should also have good computing and programming skills (e.g. Python and R), experience in the Linux/UNIX computer environment, and, preferably, previous experience in working with machine learning and/or artificial intelligence. Good presentation and communication skills in oral and written English are also required.

Contract terms
Full-time temporary employment. The position is limited to a maximum of five years.

For more information about what we offer, please visit Chalmers website.

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Postdoctoral fellow in optical transport network security

Chalmers Tekniska Högskola AB
Doktorand
Läs mer Apr 8
This position at the department of Electrical Engineering is an opportunity to be a part of creative and globally relevant research network addressing communication network security. By combining AI/ML and networking knowledge, you will be able to take initiative, design, and implement functionalities for enhancing the achievable levels of 5G network security. The developed techniques may be validated on cutting-edge network management frameworks in collaboration with our international research partners. Ultimately, the research carried out in this project has the potential to improve sustainability of the global communication network infrastructure.

Information about the research
Optical communication network infrastructure forms the backbone of today's information society, but is vulnerable to various attacks that jeopardize secure operation of upper layer network services. This research project, funded by the European Commission, aims at developing an encompassing 5G cybersecurity toolbox. The role of the Chalmers team in the project is to address the transport optical network segment security challenges. Specifically, we will develop processes for security assurance of transport network control and management, and investigate the concrete vulnerabilities of SDN controlled network components in virtualized scenarios. We will then focus on developing tools for risk mitigation in 5G networks associated with the control and management of the network and compute infrastructure. For the control of the network infrastructure using SDN, emphasis will be given on identifying optimal solutions that prevent malicious attacks or unauthorized access to the network. Attention will be put on development of intelligent solutions based on AI/ML to continuously monitor the status of the SDN components, and intelligent policy control mechanisms preventing the installation of rules that may cause instabilities. Finally, we will develop mitigating measures supporting 5G Lifecycle Management through network slicing and virtual network function placement.

Major responsibilities
Your main responsibilities as postdoctoral researcher are related to conducting cutting-edge research and disseminating scientific outcomes in top-tier journals and conferences. You will have the freedom to independently formulate and solve research problems in line with the work envisioned by the international research project you will be a part of. You will have an opportunity to take initiative on suitable project tasks and tightly collaborate with project partners from leading European universities and companies. Depending on your preferences, you may also be involved in supervision of Ph.D. and M.Sc. students. The position is meritorious for future roles within academia and industry.

Qualifications
Mandatory
-) Ph.D. degree in Electrical Engineering, Computer Science, Telecommunications, or similar.
-) Knowledge of SDN-based communication networks, network virtualization and/or network security (not necessarily all of them)
-) Experience in communication network design and optimization techniques
-) Experience in applying AI/ML methods to management and operation of communication infrastructures, including monitoring, security, and service provisioning
-) Ability and motivation to carry-on high-quality research
-) Strong track record demonstrated by publications in Q1 journals and top-tier international conferences
-) Programming skills
-) Openness and creativity

Desirable
-) Courses and experience with 5G networks and systems
-) International scientific and/or industry collaboration experience
-) Participation in conferences

To qualify for the position of postdoc, you must hold a doctoral degree awarded no more than three years prior to the application deadline (according to the current agreement with the Swedish Agency for Government Employers).
The position requires sound verbal and written communication skills in English. Swedish is not a requirement but Chalmers offers Swedish courses.

You are expected to be somewhat accustomed to teaching, and to demonstrate good potential within research and education.

Contract terms
This postdoc position is a full-time temporary employment for two years.

For more information about what we offer and the application procedure, please visit Chalmers webpage.
See link: Postdoctoral fellow in optical transport network security

*** Chalmers declines to consider all offers of further announcement publishing or other types of support for the recruiting process in connection with this position. *** 





Chalmers University of Technology conducts research and education in engineering sciences, architecture, technology-related mathematical sciences, natural and nautical sciences, working in close collaboration with industry and society. The strategy for scientific excellence focuses on our six Areas of Advance; Energy, Health Engineering, Information and Communication Technology, Materials Science, Production and Transport. The aim is to make an active contribution to a sustainable future using the basic sciences as a foundation and innovation and entrepreneurship as the central driving forces. Chalmers has around 11,000 students and 3,000 employees. New knowledge and improved technology have characterised Chalmers since its foundation in 1829, completely in accordance with the will of William Chalmers and his motto: Avancez!

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Associate Professor or Assistant Professor in Heat Transfer

Chalmers Tekniska Högskola AB
Universitets- och högskolelektor
Läs mer Mar 28
The Vehicle Aerodynamics and Thermal Management (RVAD) group at Chalmers is expanding its scope to encompass new areas central to the transition to a sustainable, fossil-free society and is seeking an Associate Professor or Assistant Professor in Heat Transfer. With our well-established scientific network, close ties to industrial partners, and commitment to develop innovative solutions, we provide an ideal platform for you to make real impact.  You will be able to pursue your ideas within a collaborative and inclusive working environment at one of Scandinavia’s top universities in the lively west-coast city of Gothenburg, Sweden.

The department and the research group
The Department of Mechanics and Maritime Sciences (M2) conducts fundamental and applied research in all modes of transport and is characterized by an international environment, outstanding research, and world-class education. It consists of seven divisions within the areas of engineering and maritime sciences, and one division of administration and support.

The division of Vehicle Engineering and Autonomous Systems (VEAS) works with fundamental and applied research questions for vehicle or robot applications. Our aim is to provide solutions to problems of industrial and societal relevance using basic theory, modelling, and simulations. Our staff is responsible for 13 courses at Bachelor, Master, and PhD levels.

Fundamental fluid- and heat transfer problems form the base for all research in the RVAD group. Renowned internationally for our contributions to vehicle aerodynamics, brake cooling, underhood, and battery thermal management, we perceive thermal optimization as an evolving field with rapid technological advancements, especially amid the electrification of the transportation sector. Our interests span across battery and fuel cell heat management, utilization of AI techniques for enhanced modelling, interior climate control, acoustic effects on heat transfer, and exhaust heat recovery. All these areas require both fundamental understanding of heat transfer and the ability to propose new engineering solutions. In collaboration with colleagues from other divisions at our department, you will have the opportunity to apply your heat transfer knowledge to applications across all modes of transport (land, sea, air).

Job description
You will benefit from our robust foundation in applied thermal engineering to pioneer advancements in fundamental heat transfer within novel applications. Your responsibilities will involve participating in ongoing projects, but most significantly, actively securing funding for future projects both for yourself and for others (PhD students and post-docs). We expect a blend of creativity, focus, independence, and initiative, coupled with teamwork skills. You will supervise students across various academic levels and engage in project management to some extent. As member of the teaching faculty, you will be expected to teach approximately 20% of your total working time.

At Chalmers, we highly value utilization and academic citizenship. You will be expected to contribute to a positive and inclusive working environment, to participate in committees and councils, to serve as advisor to decision makers, and so on. 

Your profile 
You have a PhD degree in Mechanical Engineering, Applied Physics, or equivalent and solid knowledge in heat transfer and fluid mechanics. For the Assistant Professor post, the degree must not be older than 7 years prior to the application deadline. Exceptions can be made for longer periods resulting from parental leave, sick leave or military service*. 

For the position as Associate Professor, you must meet the qualifications, experiences, and skills listed below:

 -A good track record in teaching at undergraduate and graduate levels.
- A good track record regarding high-quality, independent scientific research.
- A good track record of successful grant applications.
- Experience with PhD student supervision.

For the Assistant Professor position, the above is not mandatory but meritorious. You should, however, demonstrate experience of applying for research funding.

Excellent command of English, both written and spoken is required.

 * The date shown in your doctoral degree certificate is the date we use, as this is the date you have met all requirements for the doctoral degree. 

Contract terms
The position is aimed for Assistant Professor or Associate Professor level. Associate Professor at Chalmers is a permanent faculty position. The appointment as Assistant Professor is a four-year, entry-level, faculty position with tenure track, whereby you will acquire both pedagogical and research qualifications. An Assistant Professor is expected to improve their ability to formulate and solve scientific problems, to publish scientific articles, and to develop their skills in teaching and supervision, by means of both practical training and independent study. The aim is to achieve the level of Associate professor within four years and, if successful, you will be offered a permanent faculty position at Chalmers. 

The level of the position will be decided based on the qualifications of the selected candidate. 

We offer
Chalmers offers a cultivating and inspiring working environment in the coastal city of Gothenburg. 
Read more about working at Chalmers and our benefits for employees.

Chalmers aims to actively improve our gender balance. We work broadly with equality projects, for example the GENIE Initiative on gender equality for excellence. Equality and diversity are substantial foundations in all activities at Chalmers.

Application procedure
To apply, please go to: https://www.chalmers.se/en/about-chalmers/work-with-us/vacancies/?rmpage=job&rmjob=12775

Application deadline: 31 May, 2024

For questions, please contact:
Professor Simone Sebben, Head of Division at VEAS
simone.sebben@chalmers.se, +46 (0)70-3891176

*** Chalmers declines to consider all offers of further announcement publishing or other types of support for the recruiting process in connection with this position. ***

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PhD student in Neuro-symbolic AI for Mathematical Discovery

Chalmers Tekniska Högskola AB
Doktorand
Läs mer Apr 17
The goal of this project is to develop new methods for assisting mathematical discovery, by leveraging recent developments in generative AI (large language models) with symbolic systems (here proof-assistants) via a neuro-symbolic architecture. This takes advantage of AI systems with different strengths: generative AI-systems provide creativity, but are potentially unreliable and may hallucinate, while classical symbolic methods are rigid but reliable and can robustly check the correctness of results.

Project description
Generative AI, with tools like ChatGPT, driven by Large Language Models (LLMs), have in the past year demonstrated impressive capabilities in generation of not only fluent text but also computer code. They take instructions in natural language and can perform seemingly creative tasks very well. However, LLMs can be unreliable: a well-known issue is hallucinations where seemingly sensible but incorrect answers are produced, and their reasoning capabilities are fragile.

Research mathematicians are increasingly staring to use computers to assist in their research, not least in cases where proofs turn out to be so large that it is impossible to check each step manually (a amous example is Thomas Hales' proof of Kepler's conjecture). Proof-assistants are software designed for exactly this: keeping track of precise definitions and checking each step of the proof. However, using a proof assistant requires both expertise in how to program them, and libraries of foundational mathematics to already be in place.

We believe that LLMs has the potential to speed up this process and even provide creative suggestions to working mathematicians. But not on their own: Proof assistants have the complementary capabilities missing for this to work. The goal of this proposal is therefore to bring LLMs and proof assistants together via a neuro-symbolic architechture.

Information about the division and the department
The PhD student will be supervised by Moa Johansson in the Data Science and AI division, and co-supervised Thierry Coquand in the Type Theory group in the Computing Science division. Johansson's group focuses on neuro-symbolic AI in domains ranging from natural language to cognitive science and mathematics, while the group of Coquand is famous for work in type theory and the development of the proof assistant Agda.

This project is funded by WASP (https://wasp-sweden.org), and the student will be part of the WASP graduate school which offers excellent courses, study trips and networking opportunities with researchers working in AI across Sweden and abroad.

Major responsibilities
We are looking for a PhD student with an interest in neuro-symbolic AI (machine learning and symbolic methods) to work as a researcher on this project, which will include both implementation work and experimentation. It is an advantage to have some experience of functional programming, in addition to experience with machine learning.

The PhD position is funded for five years, of which 80% is research and 20% is teaching.

Read more about doctoral studies at Chalmers here.

Qualifications
The candidate should have (or shortly be about to finish) a MSc degree in e.g. Computer Science, AI, mathematics or other relevant fields.

To qualify as a PhD student, you must have a master's level degree corresponding to at least 240 higher education credits in a relevant field.

The position requires sound verbal and written communication skills in English. If Swedish is not your native language, Chalmers offers Swedish courses.

Contract terms
Full-time temporary employment. The position is limited to a maximum of five years.

We offer
Chalmers offers a cultivating and inspiring working environment in the coastal city of Gothenburg. 
Read more about working at Chalmers and our benefits for employees.

Chalmers aims to actively improve our gender balance. We work broadly with equality projects, for example the GENIE Initiative on gender equality for excellence. Equality and diversity are substantial foundations in all activities at Chalmers.

Application procedure
The application should be marked with reference number 20240250 and written in English. The application should be sent electronically and be attached as PDF-files, as below. Maximum size for each file is 40 MB. Please note that the system does not support Zip files.

CV: (Please name the document: CV, Family name, reference number)
• CV
• Other, for example previous employments or leadership qualifications and positions of trust.
• Two references that we can contact.

Personal letter: (Please name the document as: Personal letter, Family name, ref.number)
1-3 pages where you:
• Introduce yourself
• Describe your previous experience of relevance for the position (e.g. education, thesis work and, if applicable, any other research activities)
• Describe your future goals and future research focus

Other documents:
• Copies of bachelor and/or master’s thesis.
• Attested copies and transcripts of completed education, grades and other certificates, e.g. TOEFL test results.

Use the button at the foot of the page to reach the application form. 

Please note: The applicant is responsible for ensuring that the application is complete. Incomplete applications and applications sent by email will not be considered.


Application deadline: 2024-05-31



For questions, please contact:
Associate Professor Moa Johansson
moa.johansson@chalmers.se

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