Postdoctoral Researcher in Artificial Intelligence (Food and Drug Security Systems)
About this role
Mikko Niemi's research group at the Faculty of Medicine, University of Helsinki invites applications for the position of a
POSTDOCTORAL RESEARCHER
to work in the Food and Drug Security Systems, Profi8 -project, starting as soon as possible or agreed. The employment is fixed term and ends on 31.12.2031.
Summary of the project and research group descriptions
The research action Systems of Food and Drug Security (fooDrug) brings together University of Helsinki research across nine different units, to address challenges relating to the production, processing, distribution and use of food and drug products without compromising human safety, health, and cultural and social acceptance. We will enable the development of a more holistic, efficient and safe approach to new food and drugs and related technologies, as exemplified by advances in pharmacogenomics and nanomedicine, novel viral vectors, new food materials, improved food hygiene and enhanced human sensory experience.
The postdoctoral researcher will work in Professor Mikko Niemi's research group, which is internationally recognized for research in clinical pharmacology, pharmacogenetics, and individualized drug therapy. The group is expanding its activities toward AI-driven clinical data analysis, modelling, prediction, and decision-support systems related to pharmacogenomics, food-drug interactions, drug safety, and personalized health.
The successful candidate will contribute to developing and applying artificial intelligence and machine learning methods to large-scale clinical, biomedical, pharmacological, and food-related datasets, supporting the goals of the Profi8 profiling area.
More about the Profi8 project: https://www.helsinki.fi/en/research/top-research-areas-and-researchers/projects-funded-research-council-finland/profile-building-areas
Tasks
The selected Postdoctoral Researcher will: Develop and apply AI / machine learning methods for analysis and modelling clinical data, food-drug interaction