PhD position in X-ray-based in situ characterization of CVD coatings

Within the framework of the new national competence center NEXT, we are looking for a PhD student focused on developing methods based on synchrotron and laboratory X-ray diffraction for real-time in situ studies of thin films and coatings. You will be a part of a large cross-organizational environment focused on the use of X-rays and neutrons for the study of industrial materials and processes, and you will work in close collaboration with industrial partners to enable a future combination of competitiveness and sustainability. You will become an expert in state-of-the-art characterization using large scale facilities, while at the same time help addressing important societal challenges. Information about the project and research environment The Vinnova-funded competence center NEXT - Neutron and X-ray science for industrial technology transitions - comprises 24 partners: Chalmers, KTH Royal Institute of Technology, Linköping University and a range of research institutes, large and small industrial partners and large scale facilities (synchrotrons and neutron sources). The goal of NEXT is to co-create materials innovations for enabling sustainable transitions in industry through the use of large-scale neutron and synchrotron infrastructures. The specific project will be carried out in collaboration with industrial partners (Sandvik Coromant, Walter Tools and Seco Tools), and is focused on development and use of methods for time-resolved in situ high temperature measurement of stress development and phase transformations in wear-resistant coatings for cutting tool applications. The goal is to increase our understanding of the process-structure-property relationships in state-of-the-art coating systems synthesized by chemical vapour deposition (CVD), thereby accelerating the innovation cycle by enabling targeted data- and knowledge driven development. The PhD position is placed at the Division of Microstructure Physics at the Department of Physics, a key partner in NEXT, where the research is dedicated to the application of advanced materials characterization techniques (such as X-ray/neutron scattering, scanning and transmission electron microscopy and atom probe tomography) to understand and control the microstructure and properties of advanced engineering materials. Major responsibilities Your main responsibility will be to perform research towards your doctoral degree. The main tasks will be design and execution of experiments at large scale research facilities and in the home laboratory, development of analysis methods, evaluation and synthesis of the resulting data, and communication in writing and through conference presentations. You will work closely with both industrial partners and academic collaborators within and outside Chalmers, in particular within the NEXT competence center. You will also be required to complete courses corresponding to one year of full-time studies within the graduate school of materials science, and additionally you may be involved in teaching and other departmental duties. 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 physics (applied physics, engineering physics, materials physics, chemical physics), materials science, or an equivalent degree, with sound knowledge and interest in materials science. Theoretical and/or practical experience of scattering and diffraction, as well as programming skills (preferrably Python) are considered merits. The position requires good communication skills in written and spoken English. If English or a Scandinavian language not your mother tongue, you need to provide documentation of good communication skills in English, typically evidenced by an English language test and/or exemplified during the interview process before admission. 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 20240255 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: 2024-05-19 For questions, please contact: Dr. Magnus Hörnqvist Colliander, Microstructure Physics, [email protected]

17 april 2024
Sista ansökan:
19 maj 2024
Post-doc in energy systems modeling

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, [email protected], +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!

17 april 2024
Sista ansökan:
6 juni 2024
PhD student position in developing methods for climate optimal flying

For this Ph.D. position you will gain a broad understanding ranging from propulsion and the use of new fuels to aircraft performance and its operation. You then apply your knowledge to minimize future climate impact from aviation. Information about the division and the department The department of Mechanics and Maritime Sciences at Chalmers conduct fundamental and applied research in all modes of transport. The division of Fluid Dynamics is one of the seven divisions within the department. Research at the division covers turbulent flow (both compressible and incompressible), aeroacoustics, and turbomachines. The research group of turbomachinery and aeroacoustics, consisting of two professors, one associate professor, one assistant professor, two researchers and nine Ph.D. students, is part of the fluid dynamics division. Focusing on the area of air transport, the group works mainly with aircraft propulsion. This includes system level assessment, engine concept evaluation, and detailed component design and optimization, such as compressors, turbines, transition ducts and heat-exchangers, through implementing combinations of numerical modeling and experiments. Based on the in-house tools developed for aircraft propulsion system design and emissions assessment, the research portfolio of the group has been expanded to multidisciplinary topics, such as improved climate impact modelling of air transport. I collaboration with the Swedish air transport authorities, airlines and aero engine industry we will try to develop new understanding for the climate impact of flying. Major responsibilities Your major responsibilities as a PhD student are to pursue your own doctoral studies. You are expected to conduct research activities in a national research project on climate evaluation of aircraft operation, and to develop your own scientific concepts and communicate the results of your research verbally and in writing. The position also includes teaching on Chalmers' undergraduate level or performing other duties corresponding to 20 percent of your working hours. You are expected to write a licentiate thesis within 2-3 years and defend your doctoral thesis within 4-5 years. Read more about doctoral studies at Chalmers here. Qualifications To qualify for this position, you must have a master's degree corresponding to at least 240 higher education (ECTS) credits in Aerospace Engineering, Mechanical Engineering, Environmental Engineering, Engineering Physics or equivalent. Other master programmes in addition to the ones listed above may be considered if documented advanced courses in related to cloud formation, climate physics, aircraft propulsion, aircraft design, aircraft navigation, trajectory optimization, multidisciplinary analysis, data science are provided. You should also have: - Good skills in programming, preferably Python and FORTRAN. - Good written and verbal English communication skills are essential. - Analytical skills, communication skills and a passion to combine theory and practice. Additional merits that are considered: - Experience in interdisciplinary cooperation, as well as experience in collaborations with partners outside academia are meritorious. - Publications in related field 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 20240245 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: 2024-05-21 For questions, please contact: Professor, Tomas Grönstedt, [email protected]     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!

16 april 2024
Sista ansökan:
21 maj 2024
PhD position in bioinformatics and artificial intelligence

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.

15 april 2024
Sista ansökan:
6 juni 2024
PhD student position in Graph Modification

We are offering a PhD position in the field of algorithmic graph theory. The position is a full-time employment with a competitive monthly salary and full social benefits for up to five years, and you will be part of a lively research environment located in the beautiful city of Gothenburg on the West coast of Sweden. General information The Department of Computer Science and Engineering is a fully integrated department with the University of Gothenburg and Chalmers University of Technology as principals. The department is widely recognised for excellent research and education, and strongly international with approximately 300 employees from more than 40 countries. Our department is located in Sweden’s second largest city Gothenburg – the world’s most sustainable destination every year since 2016 according to the Global Destination Sustainability Index. The department is organised in four divisions where research spans from theoretical foundations to applied systems development. The position is placed in the Logic and types unit of the Division of computing science, with Chalmers University of Technology as employer. Major responsibilities As a PhD student, you will acquire the skills and knowledge to conduct independent research, culminating in writing a scientific dissertation contributing to the development of knowledge in the subject area. More specifically, you will read, review, and write research papers; give presentations; take courses that complement your background; conduct research within the topic of the project under the guidance of the supervision team of experienced researchers. The proposed work includes many opportunities for collaboration and interaction at the department, and other universities. This position is a great opportunity for you as a PhD student to develop your scientific and technical skills as part of a team of leading researchers in the area of algorithmic graph theory. The project in particular concerns graph modification problems. The goal is to investigate the tractability of these problems from both the classical and parameterized complexity perspectives. This work lies at the intersection of structural graph theory, computational complexity and algorithm design. Read more about doctoral studies at Chalmers here. Qualifications By the starting date, you have a degree at Master's level or equivalent in computer science, mathematics, or a related field, corresponding to at least 240 higher education credits. Knowledge in graph theory, classical/parameterized complexity and algorithms is meritorious, as well as a documented track record of research in the area of the project. The working language at the department is English and the position requires sound verbal and written communication skills in English. If Swedish is not your native language, Chalmers offers Swedish courses. Contract terms You will be enrolled in our PhD program, comprising over 140 PhD students in the department. PhD student positions are limited to five years. Besides devoting 80% of your working time to performing research, the remaining 20% of your working time is devoted to departmental duties, such as helping as a teaching assistant in courses offered by the university. Salary for the position is as specified in Chalmers' general agreement for PhD student positions. We offer At Chalmers we seek to establish a good work/life balance. We want to provide you with the means to pick the best path possible in your pursuit of making a difference. Our ambitions in this area are reflected in the generous employment conditions, including: • Holiday allowance of 28-35 days per year depending on age; • A collective agreement including parental pay, sick pay supplement, and medicine costs; • A wellness allowance towards activities promoting good health; • Flexible working conditions. Read more about working at Chalmers and our benefits for employees.   Chalmers continuously strives to be an attractive employer.  Our aim is to actively improve the gender balance and diversity in our department. We therefore welcome a diversity of applicants with different backgrounds and experiences. 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 20240219 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. The application should include the following items: CV: • CV including list of publications; • Other information like previous employment or leadership qualifications; • Contact information for two references. Personal letter: maximum of one A4 page where you • Introduce yourself; • Describe your previous experience of relevance for the position; • Describe your future goals and your research interests. Other documents: • Evidence of written work, preferably in the form of links to research papers and theses; 
 • Attested copies of completed education (including grades) and other certificates. 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: 2024-05-21 For questions, please contact: Assistant Professor Esther Galby, [email protected], Main supervisor Associate Professor Ana Bove, [email protected], Head of Logic and Types unit

9 april 2024
Sista ansökan:
21 maj 2024
Postdoctoral fellow in optical transport network security

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!

8 april 2024
Sista ansökan:
1 juni 2024
Associate Professor or Assistant Professor in Heat Transfer

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 [email protected], +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. ***

28 mars 2024
Sista ansökan:
31 maj 2024
PhD student in AI / Machine Learning - Reinforcement Learning

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, [email protected]

29 februari 2024
Sista ansökan:
10 juni 2024