PhD Student in Neuroengineering

Kungliga Tekniska Högskolan · plný úvazek

Brinellvägen 8, Stockholm, Švédsko

Project Description Research Training Subject: Engineering and Health AI-Driven Finite Element Modeling of the Human Body and Injury Biomechanics for Improved Traffic Safety This project develops an AI-driven platform to personalize finite element models of the human body (Human Body Models, HBM) and automatically position them in realistic seating configurations. The project addresses a central challenge in the transition toward HBM-based vehicle safety assessment in consumer testing and future regulations, where efficient and accurate methods are needed to personalize and position HBMs for industrial application. The project also enables systematic reconstruction of real accidents from image and video data. On the technical side, the project develops evidence-based quality criteria for harmonization and robust use of different HBM families, together with data-driven, PCA-based methods. Applicants should have relevant background in mechanics/computational mechanics/biomechanics, combined with strong programming skills or experience in AI/machine learning. The project is financed by Vinnova within the framework of FFI (Vehicle Strategic Research and Innovation) and is conducted in collaboration with Autoliv. Supervision: Xiaogai Li, Svein Kleiven, and Shiyang Meng are proposed to supervise the doctoral student. Final decision is made upon admission. Eligibility for Admission To be admitted to doctoral studies (Chapter 7, Section 39 of the Higher Education Ordinance), applicants must have basic eligibility: completed an advanced degree, or completed course requirements of at least 240 higher education credits, of which at least 60 credits at an advanced level, or acquired equivalent knowledge in another way within or outside the country. Royal Institute of Technology (KTH) is seeking a highly motivated recent Master's graduate in engineering with a willingness to travel to research and industry partners. Preferably, the person should have a Master's degree in mechanical engineering, technical mechanics, medical technology, engineering physics, or equivalent, with a solid background in mechanics, computational mechanics, and/or biomechanics. Strong knowledge of continuum mechanics and the Finite Element Method (FEM), good programming skills (e.g., Python, Matlab), and experience in AI/machine learning (e.g., deep learning, graph neural networks) are highly meritorious. In addition to the above, there is a mandatory requirement for English equivalent to English B/6. Selection To succeed with your doctoral studies at KTH, you need to be goal-oriented and persistent in your work. When selecting applicants, the ability to: independently drive your work forward, collaborate with others, maintain a professional approach, and analyze and work with complex issues is assessed. You should have the ability to work independently, communicate in English, and work in groups with other researchers. Following the eligibility requirements, great weight will be placed on personal qualities. Target Degree: Doctoral Degree Information on Admission and Employment Only those admitted to doctoral studies can be employed as a doctoral student. The total length of employment may not exceed what corresponds to full-time doctoral studies for four years. An employed doctoral student may, to a limited extent (maximum 20%), perform certain tasks within, for example, education and administration. A new employment as a doctoral student applies for a maximum of one year, after which the employment may be renewed for a maximum of two years at a time. For studies to be completed with a Licentiate degree, the total length of employment may not exceed what corresponds to full-time doctoral studies for two years. As a doctoral student, you participate in KTH's employment benefits and receive a monthly salary according to KTH's agreement for doctoral student salaries. Read more about Doctoral Studies at KTH | KTH | Sweden. Trade Union Representatives Contact information for trade union representatives. Doctoral Student Section (Royal Institute of Technology Student Union) Contact information for the doctoral student section. Application You apply through KTH's recruitment system. As an applicant, you are responsible for ensuring that your application is complete when submitted. Application Requirements Copies of degrees and transcripts from previous university studies and proof of fulfilled language requirements (see above). Translations to English or Swedish if the original document is not issued in one of these languages. Copies of originals must be certified. CV with relevant professional experience and knowledge. Cover letter with a brief explanation of why you want to pursue doctoral studies, your academic interests, and how they relate to your previous studies and future goals. (Max 2 pages) Preferably do not attach large reports or publications with your application. Your application must be received by KTH no later than the application deadline at midnight, CET/CEST (Central European Time/Central European Summer Time). Other For information on how personal data is processed in connection with recruitment. It is possible that an employment at KTH is classified in a security class. If this applies to this position, a security vetting of the applicant will be conducted in accordance with the Security Protection Act (2018:585) with consent. In these cases, approval following security vetting is a requirement for employment. 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