Open call: Visiting Professors at Chalmers University of Technology

CHALMERS TEKNISKA HÖGSKOLA AKTIEBOLAG

Do you want to join an international team of expertise to support industry in better understanding which defects in fibre-reinforced composite structures that can be accepted without compromising quality or safety? We have an open position for a doctoral candidate within LEGEND – a European doctoral network developing increased understanding of, and computational tools for studying the effects of defects in composite structures. About us  The Doctoral student position is placed at the Division of Computational Mechanics and Materials Engineering, which belongs to the Department of Mechanical Engineering at Chalmers University of Technology. We foster an inclusive, friendly, and helpful work environment to which we welcome you to contribute. Our activities integrate computational mechanics and advanced materials technology, combining multidisciplinary expertise to predict, understand, and elevate the performance of engineering materials and structures.     Within the project, you will also be connected to an international team of experts in the area of mechanics of composites through LEGEND – a Marie Sklodowska Curie Action doctoral network project. LEGEND, encompassing a collection of European research organisations and industries, will recruit 14 doctoral candidates, offering a lot of cross-over collaboration. For more information, please visit the LEGEND https://www.legend-msca-dn.com/. About the research project   This project focuses on redefining how defects are assessed in composite aerospace structures  - helping industry move beyond overly conservative repair or discard decisions. The Doctoral student will develop an advanced global–local modelling approach that captures how individual and interacting defects influence structural performance. By combining high-fidelity simulations with experimental testing of lab-scale components, our research will generate new data, validate predictive models, and establish improved defect acceptance criteria. The outcome will be a practical, industry-ready methodology that enables safer, more cost-efficient decisions when dealing with defects in composite components. The project will involve collaborations and secondments (in total 8 months during the first three years) at University of Kore (2 months) and Leonardo S.p.A. (6 months) in Italy. Who we are looking for The following requirements are mandatory: To qualify as a Doctoral student, you must have a Master's degree (masterexamen) of 120 credits or a Master’s degree (magisterexamen) of 60 credits* in Applied Mechanics, Structural Engineering, Computational Engineering, Engineering Mathematics, Engineering Physics or similar. Documented experience (education/courses or thesis project with high grades) in the finite element method and the mechanics of fibre-reinforced polymers. Interest and high skills in programming and numerical methods Strong written and verbal communication skills in English  *for students with an education earned outside of Sweden, a 4-year Bachelor’s degree is accepted.  We also expect that you are analytical, ambitious, independent, and a strong team player that thrives through collaboration. The following experience will strengthen your application:  Documented knowledge (education/courses or thesis project) in computational homogenisation and/or computational micro/mesoscale modelling. What you will do Develop your scientific concepts and communicate the results of your research through written scientific publications and oral presentations at international conferences. Collaborate with fellow doctoral candidates within the LEGEND project, utilising synergies between projects. Actively participate in General Assembly meetings and doctoral training events within LEGEND, distributed across Europe. Take courses at an advanced level within the Graduate school of Solid and Structural Mechanics. Develop and implement a computational framework that links small-scale material defects to large-scale structural performance, enabling accurate prediction of how defects affect strength, stiffness, and fracture behaviour. Teach on Chalmers' undergraduate level corresponding to 10 percent of working hours. Contract terms   The Doctoral student positions are fully funded from start.  The position is a fixed-term appointment of four years, with the possibility to teach up to 10%, which extends the position up to four and a half years.  Doctoral studies require physical presence throughout the entire study period. A valid residence permit must be presented by the study start date; otherwise the admission may be withdrawn.  Applicants must not already be in possession of a doctoral degree. Researchers who have successfully defended their doctoral thesis but who have not yet formally been awarded the doctoral degree will not be considered eligible. Applicants must not not have resided, worked, or studied in Sweden for more than 12 months in the 3 years immediately prior to the date of recruitment. Compulsory national service, short stays such as holidays, and time spent as part of a procedure for obtaining refugee status under the Geneva Convention are not taken into account.  To sign the contract, the chosen candidate must fulfil the http://ec.europa.eu/research/mariecurieactions. The MSCA DN programme offers a highly competitive and attractive salary and working conditions. The chosen candidate will receive a salary in accordance with the MSCA regulations. The MSCA DN grant offers a monthly Living Allowance (€5,012 per month, as adapted to Sweden), Mobility Allowance (€710 per month), and Family Allowance (€495 per month, if applicable). The salary is subject to taxation and social contributions. Chalmers guarantees the starting salary of the position is minimum 35,725 SEK. What we offer  As a Doctoral student at Chalmers, you are an employee and enjoy all employee benefits.  A dynamic and inspiring working environment in the coastal city of Gothenburg.  Read more about Sweden’s generous parental leave, subsidized day care, free schools, healthcare etc at https://www.movetogothenburg.com/  Application procedure  For information about the application procedure, please refer to the advert on Chalmers' website: https://www.chalmers.se/en/about-chalmers/work-with-us/vacancies/?rmpage=job&rmjob=15011&rmlang=UK   We welcome your application no later than 31 August. For questions, please contact:   Professor Martin Fagerström email: mailto:martin.fagerstrom@chalmers.se

CHALMERS TEKNISKA HÖGSKOLA AKTIEBOLAG

Join us at the Division of Chemical Physics, Department of Physics and Astronomy, and contribute to the development of next-generation artificial intelligence methods for materials discovery and sustainable energy technologies. About us  The Division of Chemical Physics conducts internationally recognized research at the interface of physics, chemistry, materials science, and data science. Our research spans computational materials design, catalysis, energy materials, machine learning, and artificial intelligence. We offer a collaborative and international research environment with close interactions between faculty, postdoctoral researchers, PhD students, and external partners from academia and industry. The Department of Physics and Astronomy is one of the largest departments at Chalmers University of Technology, with broad activities ranging from fundamental physics to applied research addressing societal challenges in energy, sustainability, and digitalization. About the research project   The project aims to develop novel AI and machine-learning methods for accelerated materials discovery. The focus is on combining generative AI, active learning, first-principles simulations, and machine-learning potentials to identify new multicomponent optoelectronic materials for energy-conversion applications. The successful candidate will contribute to the development of an autonomous materials-discovery framework capable of navigating extremely large compositional spaces while simultaneously optimizing multiple target properties such as optical performance, stability, and sustainability. Who we are looking for  We seek a highly motivated and independent researcher with a strong interest in artificial intelligence, computational materials science, and scientific software development. Mandatory qualifications A doctoral degree in Physics, Materials Science, Chemistry, Chemical Engineering, Computer Science, Applied Mathematics, or a closely related field, or an equivalent foreign degree. The degree must be awarded no later than the time the employment decision is made. Strong written and verbal communication skills in English. Experience in machine learning, scientific computing, computational physics, computational chemistry, or related fields. Experience with Python programming and modern scientific software development. Ability to work independently while contributing effectively to collaborative research projects. Strong analytical and problem-solving skills. Good interpersonal skills and a demonstrated ability to collaborate in interdisciplinary teams. You are expected to have some experience with teaching or supervision and to demonstrate strong potential for future development in both research and education. Meritorious qualifications It is highly meritorious if the doctoral degree has been obtained within the last three years prior to the application deadline. Experience with machine learning for scientific applications. Experience with deep learning frameworks such as PyTorch or TensorFlow. Experience with atomistic simulations, density functional theory (DFT), molecular simulations, or machine-learning potentials. Experience with generative AI, active learning, uncertainty quantification, Bayesian optimization, or reinforcement learning. Experience with high-performance computing (HPC). Experience supervising students or junior researchers. What you will do  As a postdoctoral researcher, you will: Develop machine-learning and AI methods for materials discovery. Design and implement active-learning workflows for autonomous exploration of materials spaces. Develop and evaluate generative AI models for inverse materials design. Perform large-scale computational screening using first-principles calculations and machine-learning potentials. Analyze structure–property relationships and extract scientific insights from AI models. Publish research results in leading international journals and present findings at international conferences. Contribute to the development of open and reproducible scientific software. The position also includes: Supervision of master's students and, to some extent, PhD students. Opportunities to contribute to teaching at undergraduate and master's levels. Collaboration with national and international academic and industrial partners. Contract terms   The position is a temporary full-time employment for two years with the possibility of a one-year extension.  The position requires physical presence throughout the entire employment. A valid residence permit must be presented by the start date, otherwise the offer may be withdrawn.  What we offer  As a postdoc at Chalmers, you are an employee and enjoy all employee benefits. Read more about  working at Chalmers  and our benefits for employees.  A dynamic and inspiring working environment in the coastal city of Gothenburg.  Read more about Sweden’s generous parental leave, subsidized day care, free schools, healthcare etc at Move To Gothenburg.  Chalmers is dedicated to improving gender balance and actively works with equality projects, such as the GENIE Initiative for gender equality and excellence. We celebrate diversity and consider equality and inclusion as fundamental aspects of all our activities.  If Swedish is not your native language, Chalmers offers Swedish courses to help you settle in.  Application procedure  The application should be written in English 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  A comprehensive CV, including a complete list of publications.  Details of previous teaching and pedagogical experience.  Personal letter  A brief introduction about yourself.  A summary of your previous research fields and key research outcomes.  An outline of your future goals and research focus.  Use the button at the foot of the page to reach the application form.       A background check may be conducted as part of the application process.     Please note: The applicant is responsible for ensuring that the application is complete. Incomplete applications and applications sent by email will not be considered. Contact details to references will be requested after the interview.    We welcome your application no later than 17 July  For questions please contact:  Anders Hellman Professor  anders.hellman@chalmers.se

CHALMERS TEKNISKA HÖGSKOLA AKTIEBOLAG

Are you excited about pioneering experimental quantum computing? Do you want to be part of a world-class research environment developing the next generation of superconducting quantum processors? We are seeking a Postdoctoral researcher to join our ambitious team at the Wallenberg Centre for Quantum Technology (WACQT), based at the Department of Microtechnology and Nanoscience (MC2). About us  The https://www.chalmers.se/en/departments/mc2/ (MC2) advances the frontiers in quantum technology, nanoscience, photonics, and future electronic systems. Our cross-disciplinary approach drives innovations through collaborations across academia, industry, and society. We offer a vibrant, international environment with direct access to world-class nanofabrication facilities. At the https://www.chalmers.se/en/departments/mc2/research/quantum-technology/ (QTL), we explore how quantum physics can unlock radically new ways of processing information. Our research spans quantum computing, sensing, transduction, and thermodynamics, aimed at harnessing the behavior of light and matter at the quantum level. About the research project   This project is a proof-of-concept effort aimed at demonstrating a reliable post-fabrication trimming process for Josephson junctions in superconducting qubits. Unlike open-ended exploratory research, this project is goal-oriented and experimentally driven. It requires both careful physical interpretation and structured technical validation. You will take primary responsibility for planning and executing the experimental program in collaboration with senior researchers. While the role does not include formal personnel management, scientific initiative and independence are highly expected. Key responsibilities include: Designing and executing cryogenic experiments. Characterizing Josephson junctions and superconducting circuits. Analyzing device behavior and degradation mechanisms. Correlating electrical performance with material properties (aging, interfaces, coherence). Contributing to reproducible superconducting qubit fabrication workflows within WACQT. The project is closely connected to ongoing superconducting quantum processor development efforts within WACQT. Who we are looking for  The following requirements are mandatory:  A PhD in Physics, Applied Physics, Materials Science, Electrical Engineering, or a closely related field. Strong experimental research experience in superconducting devices, quantum devices, low-temperature physics, nanoscience, or related areas. Experience with at least one of the following:programming experience in Python MATLAB or similar tools for data analysis and experiment automation. You are expected to be somewhat accustomed to teaching, and to demonstrate good potential within research and education.  The following experiences are considered beneficial, but are not required: Dilution refrigerator operation. Transmon qubit measurements. Microwave control and readout. Quantum coherence measurements. Thin-film characterization. Tunnel junction fabrication. Cleanroom micro/nanofabrication. Device simulation or modeling. We recognize that strong candidates may not match every listed qualification. If your experience aligns with part of the profile and you are interested in the project, we encourage you to apply. What you will do Experimental research Design and execute experiments on superconducting quantum devices. Develop and validate electrical trimming methods for Josephson junctions. Perform low-temperature measurements using dilution refrigerators. Device characterization and analysis Characterize superconducting circuits using DC, AC, and RF measurement techniques. Analyze complex experimental datasets and develop physical interpretations of device behavior. Investigate relationships between fabrication processes, material properties, and device performance. Collaboration and scientific communication Work closely with researchers in superconducting qubit development, nanofabrication, and materials characterization. Present results internally and externally through publications, reports, and conference presentations. The position is meritorious for future roles in academia, industry, or the public sector.  Contract terms   The position is a temporary full-time employment for two years with the possibility of a one-year extension.  The position requires physical presence throughout the entire employment. A valid residence permit must be presented by the start date, otherwise the offer may be withdrawn.  What we offer  As a postdoc at Chalmers, you are an employee and enjoy all employee benefits. Read more about  https://www.chalmers.se/en/about-chalmers/work-with-us/ and our https://www.chalmers.se/en/about-chalmers/work-with-us/chalmers-as-an-employer/benefits-and-conditions/  for employees.  A dynamic and inspiring working environment in the coastal city of https://www.goteborg.com/en.  Read more about Sweden’s generous parental leave, subsidized day care, free schools, healthcare etc at https://www.movetogothenburg.com/  Chalmers is dedicated to improving gender balance and actively works with equality projects, such as https://www.chalmers.se/en/about-chalmers/organisation-and-governance/equality/genie-gender-initiative-for-excellence/. We celebrate diversity and consider equality and inclusion as fundamental aspects of all our activities.  If Swedish is not your native language, Chalmers offers Swedish courses to help you settle in.  Application procedure  The application should be written in English 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  A comprehensive CV, including a complete list of publications.  Details of previous teaching and pedagogical experience.  Personal letter  A brief introduction about yourself.  A summary of your previous research fields and key research outcomes.  An outline of your future goals and research focus.  Use the button at the foot of the page to reach the application form.       A background check may be conducted as part of the application process.     Please note: The applicant is responsible for ensuring that the application is complete. Incomplete applications and applications sent by email will not be considered. Contact details to references will be requested after the interview.    We welcome your application no later than August 2, 2026