Researcher in Modeling for Materials Design

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Kungliga Tekniska Högskolan · Full-time

Brinellvägen 23, Stockholm, Sweden

Kungliga Tekniska Högskolan
Employer
Full-time
Employment type

Job Responsibilities At the Hultgren Laboratory at the Department of Materials Science, we are seeking a researcher with a strong interest in developing and applying machine learning methods for materials design, particularly steel design. The position is part of our growing research environment focused on physics-informed AI tools for materials design and characterization. In a collaborative project with industrial partners, you will work on developing physics-informed models for steel heat treatment. A central part of the physics-informed approach is to use thermodynamically-based understanding, a long-standing core competency at KTH, to guide model development and ensure physically consistent predictions. You will contribute to models that link composition, processing, microstructure, and properties, and support the development of new alloys and processes for important industrial challenges such as electrification and circular production flows based on recycled materials. Experimental data and validation will also be an important part of the work. You will have the opportunity to develop understanding of experimental methods and their limitations, in close collaboration with experimental experts at the Hultgren Laboratory. The position is well-suited for candidates with a background in computational materials science and materials engineering or related fields, who wish to deepen their competence in physics-informed machine learning for materials design and work closely with industry and leading academic actors in steel research. You will have excellent opportunities to contribute to the development of next-generation digital tools for sustainable steel design. Qualifications Required A doctorate degree or equivalent foreign degree in computational materials science and materials engineering or a related field. Research experience in machine learning within materials science, demonstrated through journal publications and international conference presentations. Good programming skills, e.g., in Python. Very good ability to express yourself in English, both orally and in writing, as required in daily work. You are self-directed, motivated, and have the ability to take initiative and drive projects. Collaboration skills and experience working in interdisciplinary environments. Awareness of diversity and equality issues with particular focus on gender equality. Ability to communicate research and development work clearly. Meritorious A doctorate degree or equivalent foreign degree obtained within the three years before the application deadline. Experience in method development that integrates physics-based approaches, data-driven methods, and experiments. Potential and interest in developing into a leader in machine learning for materials design and characterization in a primarily experimental research environment. We will place great emphasis on personal qualities. Become Part of KTH KTH shapes the future through education, research, and innovation. As a leading international technical university, we play an active role in driving and participating in the transition to a sustainable society. Here you are offered the opportunity to grow and develop at a creative and dynamic workplace with good working conditions and benefits. Equality, diversity, and equal opportunities are a quality issue and a natural part of KTH's values as a university and public authority. Read more about our benefits and what it is like to work and develop at KTH. Trade Union Representatives Contact information for trade union representatives. Application You apply through KTH's recruitment system. You as an applicant have primary responsibility for ensuring that your application is complete when submitted. The application should contain: CV including relevant professional experience and knowledge. Copy of degree certificate and grades from your previous university studies. Translations into English or Swedish if the original documents are not issued in one of these languages. Brief statement of why you wish to conduct research, your academic interests, and how they relate to your previous studies and future goals. Maximum 2 pages long. The application must be received by KTH no later than the application deadline at midnight, CET/CEST (Central European Time/Central European Summer Time). About the Position The position is temporary according to contract—up to 12 months, with start date by agreement. Other Information For information on how personal data is processed in connection with recruitment. It may be that a position at KTH is placed in a security classification. If this is the case for this particular position, a security vetting of the applicant will be conducted in accordance with the Security Protection Act (2018:585) after consent. In these cases, a condition for employment is that the applicant is approved after security vetting. We decline direct contact from staffing and recruitment companies and vendors of job advertisements.

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City
Stockholm
Address
Brinellvägen 23
GPS
59.2877928, 18.0528391
Published
Profession
Forskarassistent
Salary type
Fixed monthly, weekly or hourly pay
Open positions
1
Contact person
Joakim Odqvist
Employer Workplace
Kungliga Tekniska högskolan, Skolan för industriell teknik och management
Region
Stockholms län

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