PhD Researcher

ETH Zurich; Lavamünd; Vor Ort; EUR 36.000 - 52.000; Vollzeit

Benefits dieser Stelle

TAFEP accreditation

Diverse workplace

25 days annual leave

Birthday Leave

Healthcare insurance

Hybrid work arrangement

NS mark certification

Zusammenfassung

ETH Zurich's Singapore-ETH Centre invites applications for a PhD Researcher role focused on AI-based medical image analysis to predict fracture risk. You will develop deep-learning models, extend them to longitudinal data, and validate results with biomechanical simulations, collaborating with researchers across disciplines.

The position emphasizes independent work, strong ML/DL foundations, and proficiency in Python and PyTorch, with opportunities for MSc/BSc supervision and flexible hybrid

Qualifikationen

• MSc degree in a quantitative field (CS/engineering/math/physics).
• Independent researcher capable of tackling complex topics.
• Strong background in ML/DL and medical image processing; Python and NN training/evaluation experience.
• Familiarity with biomechanics or finite-element modelling is a plus.
• Experience with parallel/high-performance computing and shared HPC clusters.
• Version control and collaborative development practices required.
• Proficient in written and spoken English.

Aufgaben

• Develop AI/deep-learning models to predict fracture risk from bone-density and CT images.
• Extend image-based models to longitudinal data for personalised trajectories.
• Validate predictions against biomechanical simulations and real-world outcomes.
• Co-supervise MSc and BSc students.

Kenntnisse

Machine learning

Deep learning

Medical image processing

Python programming

Neural networks

HPC

Software engineering practices

Ausbildung

MSc degree in a quantitative field

Tools

PyTorch

HPC clusters

Jobbeschreibung

Organisation/Company ETH Zürich Research Field Computer science » Other Engineering » Other Medical sciences » Other Researcher Profile First Stage Researcher (R1) Application Deadline 23 Dec 2026 - 22:59 (UTC) Country Switzerland Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No

Offer Description

PhD Researcher

The Singapore-ETH Centre was established in 2010 by ETH Zurich - The Swiss Federal Institute of Technology and Singapore’s National Research Foundation (NRF), as part of the NRF’s CREATE campus. As ETH Zurich's only research centre outside of Switzerland, the centre has strengthened the research capacity of ETH Zurich to develop sustainable solutions to global challenges in Switzerland, Singapore and the surrounding regions.

The centre serves as an intellectual hub for research, bringing together principal investigators and researchers from diverse disciplines and backgrounds. To promote the exchange of ideas and expertise, our researchers actively collaborate with universities and research institutes and engage with industry and government agencies to translate knowledge to practical solutions to real-world problems.

Project background

Fracture risk assessment today relies mainly on areal bone mineral density (DXA) which has limited discriminative power and lose accuracy over longer follow-up periods. Hip fractures carry the highest socioeconomic burden among osteoporotic fractures, yet they remain assessed largely from bone fragility alone, without properly accounting for fall biomechanics.

Our group's simulation-based models capture how bone strength and fall mechanics combine to determine an individual's hip fracture risk, offering a more personalised picture than bone density alone. However, these simulations are computationally expensive, making them clinically impractical at scale. The solution lies in image-based, data-driven (AI) models that learn to predict personalised fracture risk directly from routine bone-density or CT scans in seconds.

This PhD project will build and validate such AI models, extending them from single-timepoint prediction to longitudinal, personalised fracture-risk trajectories using repeat imaging. The successful candidate will therefore be working primarily as an AI/image-processing researcher, developing deep-learning models for medical images.

The PhD candidate will be embedded into a team of researchers developing AI models that produce markers of musculoskeletal health directly from medical images, as part of the Future Health Technologies 2 (FHT2) programme.

Some key components in the work are:

• Developing AI/deep-learning models, including generative and image-assessment approaches, that predict an individual's fracture risk directly from bone-density and CT images.
• Extending these image-based models to longitudinal data, to forecast personalised bone-ageing trajectories and future fracture risk from repeat scans and clinical risk factors.
• Validating model predictions against biomechanical simulations and real-world fracture outcomes across cohorts.
• Co-supervision of MSc and BSc students.

Please note that the employment will be at the Singapore-ETH Centre in Singapore, and local working regulations will apply.

Profile

Applicants are invited to apply for a PhD position at the Singapore-ETH Centre (SEC) in Singapore, available from 1 Dec 2026 (flexible start date). Funding is provided for up to four years.

• Applicants should hold an MSc degree and have a strong background in computer science, engineering, mathematics, physics, or a related quantitative discipline. After successful completion of studies, the PhD degree will be awarded by ETH Zurich.
• Candidates should be capable of working largely independently on complex research topics and demonstrate strong motivation.
• We are particularly interested in applicants with a strong foundation in machine learning/deep learning and medical image processing, excellent Python programming skills, and prior experience training and evaluating neural network models (e.g. in PyTorch).
• Familiarity with biomechanics or finite-element modelling is an advantage.
• Background knowledge in parallel or high-performance computing is desirable, and applicants should be comfortable working on shared HPC clusters.
• Experience with software engineering practices, including version control and collaborative development workflows, is required.
• Applicants must be proficient in written and spoken English.

We offer

• Accredited with 5 Tripartite Standards by Tripartite Alliance for Fair & Progressive Employment Practices (TAFEP) Singapore.
• A diverse workplace with 32 nationalities, offeringample opportunitiesfor mutual learning.
• Positive and inclusive working environment.
• 25 days of annual leave for fixed-term contracts.
• 1 day of Birthday Leave.
• Committed to being a supportive employer as you prioritize your physical and mental wellness.
• Comprehensive healthcare insurance coverage.
• Flexible hybrid work arrangement (up to 2 days per week from home).
• Accredited with NS mark certification.

TheSingapore-ETH Centreis an equal opportunity and family-friendly employer. All candidates will be evaluated on their merits and qualifications, without regards to gender, race,ageor religion.

Working, teaching and research at ETH Zurich We value diversity and sustainabilityIn line with our values , ETH Zurich encourages an inclusive culture. We promote equality of opportunity, value diversity and nurture a working and learning environment in which the rights and dignity of all our staff and students are respected. Visit our Equal Opportunities and Diversity website to find out how we ensure a fair and open environment that allows everyone to grow and flourish. Sustainability is a core value for us – we are consistently working towards a climate-neutral future .Curious? So are we.

We would like to point out that the pre-selection is carried out by the responsible recruiters and not by artificial intelligence.

About ETH ZürichETH Zurich is one of the world’s leading universities specialising in
science and technology. We are renowned for our excellent education,
cutting-edge fundamental research and direct transfer of new knowledge
into society. Over 30,000 people from more than 120 countries find our
university to be a place that promotes independent thinking and an
environment that inspires excellence. Located in the heart of Europe,
yet forging connections all over the world, we work together to
develop solutions for the global challenges of today and tomorrow.

Work location: 1 Create Way, CREATE Tower, Singapore 138602 (NUS University Town)
Duration: Full-Time position (4-Year Contract)

Further information about The Singapore-ETH Centre can be found on our website. Questions regarding the position should be directed toProf. Dr. Benedikt Helgason (ETH Zurich) at [e-mail] , (strictly no applications)