Postdoc in Multimodal clinical data harmonization and knowledge graphs

Job description

The Departments of Biomedical Engineering and Health Systems and Computer Science are looking for a post-doctoral researcher to lead the development of a platform targeting multi-modal medical data harmonization, integration and uncertainty-bounded prediction based on knowledge graphs and graph neural networks. Health data is indefinitely siloed, split across various systems and formats, using different ontologies, making it challenging to integrate, harmonize, and analyze uniformly when this is needed. Knowledge graphs are general-purpose data representations that allow for seamless exploration and interaction between semantically diverse elements, such as genomic sequences, clinical, and medical imaging records. The project aims to develop a unified hierarchical knowledge graph to harmonize, integrate and analyze medical data across modalities, relying on medical ontologies. This will leverage existing medical knowledge to enhance clinical data, will leverage deep graph representation learning such as Graph Neural Networks (GNNs) to showcase the capabilities of predictive exploration in healthcare, revealing insights that would otherwise remain hidden, and enable the development of models with lesser data than otherwise required. The project will also incorporate black-box uncertainty estimation methods to boost trust and accountability in graph representation learning tasks.

What we offer

• A position at a leading technical university that generates knowledge and skills for a sustainable future
• Engaged and ambitious colleagues along with a creative, international and dynamic working environment
• Work in Stockholm, in close proximity to nature
• Highly inter-disciplinary research environment, and opportunity to collaborate and work with leading researchers in clinical data and knowledge graphs
• Help to relocate and be settled in Sweden and at KTH

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

Qualifications

Requirements

• A doctoral degree or an equivalent foreign degree. This eligibility requirement must be met no later than the time the employment decision is made
• Research expertise and background in data management and ML, knowledge graphs, graph neural networks and machine learning. Knowledge and experience in working with medical or clinical data is a plus
• Ability to work independently, in a goal-oriented way with minimal supervision
• Ability to lead academic writing tasks in data management such as research conference papers, and journal articles.
• Strong programming skills, and knowledge of production environments and open source tools for machine learning and graph data analysis
• Good collaboration skills
• Good communication skills, and command of written and spoken English
• Awareness of diversity and equal opportunity issues, with specific focus on gender equality and bias

Preferred qualifications

• A doctoral degree or an equivalent foreign degree, obtained within the last three years prior to the application deadline
• Strong publication record

Great emphasis will be placed on personal skills.

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.

• 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.

Others

Striving towards gender equality, diversity and equal conditions is both a question of quality for KTH and a given part of our values.

For information about processing of personal data in the recruitment process.

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.