查尔摩斯工学院PhD position in Computational Biomechanics申请条件要求-申请方
主办方
查尔摩斯工学院
PhD直招介绍
Are you interested in using computational biomechanics to prevent injuries and to improve how products are designed for diverse populations?
Join our biomechanics team at the Department of Mechanical Engineering for your PhD studies, where you will work at the intersection of finite element modelling, probabilistic machine learning, and digital twins — contributing to research in prevention of injury using computational modeling in a collaborative and dynamic environment.
About the research project
Products are designed for people — yet the computational models used to simulate human response during design typically represent a single "average" individual. In reality, users span a wide range of ages, body sizes, and physiological characteristics. This mismatch limits how well simulations can predict outcomes across diverse populations.
This PhD project aims to develop population-aware computational modeling of the human biomechanics that explicitly account for age- and sex-related variability. The goal is to develop workflows for finite element models of the human body that incorporate variability in age, sex, morphology, and tissue properties — making models more representative and their predictions more reliable. The developed methods will be applied to the design of protective equipment in collaboration with a Swedish start-up.
A distinctive aspect of this work is dealing with data limitations. Biomechanics is a field where experimental data is often sparse, expensive to collect, or difficult to obtain for specific population groups. Part of the research will focus on how to build and validate models responsibly under these constraints — including how to quantify and communicate uncertainty when data is limited.
The outcomes of this project will have broad applications in areas such as wearable devices, medical implants, and ergonomic product design. The project is situated within the broader framework of human digital twins — personalized computational representations that can predict how individuals or populations respond to interventions.
Key Research Questions
How can population-level variability (age, sex, morphology, tissue properties) be systematically incorporated into finite element models of the human body?
What statistical and probabilistic frameworks are most effective for propagating uncertainty in large-scale biomechanical simulations?
How should models be built and validated when experimental data is limited — as is common in biomechanics?
What you will do
Develop your own scientific concepts and communicate the results of your research verbally and in writing
Collaborate with industry and other external partners
Publish scientific results in journals and present at international conferences
Take courses at an advanced level within the Graduate school of Machine and Vehicle Systems
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 percent of working hours
About us
The Department of Mechanical Engineering( https://www.chalmers.se/en/departments/me/ ) conducts research from fundamental mechanics and materials science to sustainable engineering systems and products. Our work spans the full value chain, from early concepts to real-world applications. We cover all modes of transport and develop solutions that improve safety, efficiency and environmental performance. The department also advances renewable energy technologies and works in close collaboration with industry and society.
At the Division of Vehicle Safety( https://www.chalmers.se/en/departments/me/research/vehicle-safety/ ), we conduct research to understand and mitigate injury risks for all road users. By integrating field data and experimental data with behavioural models and finite element human body models, we analyse pre-crash and in-crash dynamics to enable comprehensive virtual safety assessments in close collaboration with industry, academia and other stakeholders.
*** 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 in Gothenburg conducts research and education in technology and natural sciences at a high international level. The university has 3100 employees and 10,000 students, and offers education in engineering, science, shipping and architecture. With scientific excellence as a basis, Chalmers promotes knowledge and technical solutions for a sustainable world. Through global commitment and entrepreneurship, we foster an innovative spirit, in close collaboration with wider society.
Chalmers was founded in 1829 and has the same motto today as it did then: Avancez – forward.
查尔摩斯工学院 PhD position in Computational Biomechanics项目有没有奖学金，是不是全奖Phd招生，下面我们一起看一下【大学名称】Phd的奖学金资助情况
项目资助情况
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 20%, which extends the position up to five years.
A starting salary of 34,550 SEK per month (valid from May 25, 2025).
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.
What we offer
As a Doctoral student at Chalmers, you are an employee and enjoy all employee benefits. Read more about working at Chalmers( https://www.chalmers.se/en/about-chalmers/work-with-us/ ) and our benefits ( 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 Gothenburg( https://www.goteborg.com/en ).
Read more about Sweden’s generous parental leave, subsidized day care, free schools, healthcare etc at Move To Gothenburg( https://www.movetogothenburg.com/ ).
Chalmers is dedicated to improving gender balance and actively works with equality projects, such as the GENIE Initiative for gender equality and excellence( https://www.chalmers.se/en/about-chalmers/organisation-and-governance/equality-at-chalmers/genie-gender-initiative-for-excellence/ ).
If Swedish is not your native language, Chalmers offers Swedish courses to help you settle in.
Find more general information about doctoral studies at Chalmers here( https://www.chalmers.se/en/research/we-train-new-researchers/about-doctoral-studies/ ).
查尔摩斯工学院Phd申请条件和要求都有哪些？PhD position in Computational Biomechanics项目是不是全奖？有没有奖学金？下面我们一起看一下查尔摩斯工学院申请Phd直招需要具备哪些条件和要求，以及托福、雅思语言成绩要到多少才能申请。
申请要求
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 Mechanical Engineering, Biomedical Engineering, Applied Mechanics, or a closely related field
Strong written and verbal communication skills in English
Experience in finite element analysis, demonstrated through coursework and project work
Background in probability and statistics, ideally applied to engineering problems
Hands-on experience with commercial or research FE solvers (e.g. LS-DYNA, Abaqus, or similar)
Excellent programming skills, preferably in Python
*for students with an education earned outside of Sweden, a 4-year Bachelor’s degree is accepted.
The following experience will strengthen your application:
Experience with human body models (e.g. VIVA+, SAFER HBM, or similar)
Familiarity with machine learning, uncertainty quantification or sensitivity analysis methods
Prior work in biomechanics, computational mechanics, or related fields
Experience with high-performance computing or large-scale simulation workflows
We expect candidates to be motivated and able to work independently, but also to engage actively with the research group. You do not need to arrive with expertise in every area listed — the position is designed to support your development as a researcher.
报名方式
申请链接
招生人信息
Jobin John
邮箱：jobin.john@chalmers.se
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