Postdoc in Machine Learning Methods for Cancer Risk Assessment

Job description

We are looking for a highly motivated postdoctoral researcher for a joint project between the Taheri Lab and the Lundberg Lab, funded by the Digital Futures (DF). The position is based at KTH Royal Institute of Technology and SciLifeLab (Science for Life Laboratory).

KTH is Sweden’s largest technical university and a top-ranked European institution in engineering and technology.

This postdoctoral position will be hosted at the Department of Computational Science and Technology (CST) and constitutes an equal joint appointment between Taheri’s Lab at the School of Electrical Engineering and Computer Science (EECS) and Lundberg’s Lab at the School of Chemistry, Biotechnology and Health (CBH).

The project focuses on developing computational models for cancer risk assessment, integrating multiple types of data and risk factors.

The main objective is to design and apply machine learning and deep learning methods to understand and investigate the functional behavior of gender-specific cancers. The work will include:

• Development of ML/DL methods for multi-omics data analysis.
• Design and implementation of computational tools and software for cancer risk prediction.

This position offers the chance to engage in cutting‑edge interdisciplinary research at the intersection of ML and cancer research, and to contribute to the development of novel tools for cancer risk assessment with real potential impact on healthcare.

Qualifications

Requirements

• A doctoral degree or an equivalent foreign degree in computer science, statistics, bioinformatics, computational biology, applied mathematics, or a closely related field. This eligibility requirement must be met no later than the time the employment decision is made.
• Strong background in ML and/or statistical modelling, demonstrated through thesis work and/or scientific publications.
• Solid programming skills, for example in Python (and/or R), and experience with relevant ML libraries (e.g. PyTorch, TensorFlow or similar).
• Experience with software/tool development for research, including good practices in reproducible code (e.g. Git, notebooks, pipelines).
• Demonstrated experience in analyzing large-scale, high-dimensional datasets including multi-modal data integration and hands-on experience with high-performance computing (HPC) environments
• Ability to work independently and in an interdisciplinary team, and to drive research projects forward.
• Excellent skills in written and spoken English. English is the working language in the research environment and is required for scientific writing, presentations, and collaboration with international partners.

Preferred qualifications

• A doctoral degree or an equivalent foreign degree, obtained within the last three years prior to the application deadline.
• Documented experience with bioinformatics and/or multi‑omics cancer data integration (e.g. genomics, transcriptomics, proteomics, imaging).
• Experience from interdisciplinary collaboration with biologists, clinicians, or industry partners.
• Experience in supervising or co‑supervising students, teaching, or mentoring.
• A strong publication record in relevant journals or conferences in ML, bioinformatics, or related fields.
• Important personal skills involve the ability to collaborate, communicate clearly in an interdisciplinary environment, and work in a structured and proactive way.
• Awareness of diversity and equal opportunity issues, with specific focus on gender equality

Great emphasis will be placed on personal skills.

Join us at KTH

KTH shapes the future through education, research and innovation. As a leading international technical university, we play an active role in advancing the transition towards a sustainable society. At KTH, you have the opportunity to grow and develop in a creative and dynamic environment, with good working conditions and attractive benefits. Equality, diversity and equal opportunities are essential to quality and form an integral part of KTH’s core values as a university and public authority.

Learn more about our benefits and what it's like to work and grow at KTH.

Trade union representatives

Contact information to trade union representatives.

To apply for the position

Log into KTH's recruitment system to apply for this position. You are responsible for ensuring that your application is complete according to the instructions in the ad.

The application must include:

• CV including relevant professional experience and knowledge.
• Copy of diplomas and grades from your previous university studies. Translations into English or Swedish if the original documents have not been issued in any of these languages.
• Brief account of why you want to conduct research, your academic interests and how they relate to your previous studies and future goals. Maximally two pages long.

Your complete application must be received at KTH no later than the last day of application, midnight CET/CEST (Central European Time/Central European Summer Time).

About the employment

The position offered is for, at the most, two years.

A position as a postdoctoral fellow is a time-limited qualified appointment focusing mainly on research, intended as a first career step after a dissertation.

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It may be the case that a position at KTH is classified as a security-sensitive role in accordance with the Protective Security Act (2018:585). If this applies to the specific position, a security clearance will be conducted for the applicant in accordance with the same law with the applicant's consent. In such cases, a prerequisite for employment is that the applicant is approved following the security clearance.

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Disclaimer: In case of discrepancy between the Swedish original and the English translation of the job announcement, the Swedish version takes precedence.