Job descriptionWe have witnessed spectacular successes including Nobel prize in developing artificial intelligence (AI) methods for estimating complex biological structures such as protein structures. This is achieved by harnessing power of deep neural networks (DNNs) and generative AI (GenAI). The AI methods typically use supervised learning that requires a large amount of labeled data. For example, AlphaFold used protein sequence-and-structure as labeled data kept in Protein Data Bank. In addition, the protein sequence is a (relatively) clean data without much noise. There are abundant unlabeled and noisy data in research fields of modern biology and medical science. Naturally, estimating biological structures and networks from unlabeled and noisy data using unsupervised and semisupervised learning widens the scope of future AI-based research in biology. This has directly actionable effects in medical science. The major technical challenge is development of robust AI methods that can use information hidden in unlabeled and noisy data. A promising path to address the challenge is to include a-priori biological knowledge in developing models for signals and systems, and collecting data, and then regularize the learning of AI methods. This postdoc project will develop biology informed robust AI and generative AI methods that can use the abundant unlabeled and noisy data. We will focus on inference of gene regulatory networks (GRNs) from their noisy gene expression level data - a challenging inverse problem in biology. The project is challenging and part of Digital Futures Flagship project "Biology-informed Robust AI Methods for Inferring Complex Gene Regulatory Networks". The postdoc scholar will work independently and in collaboration with Prof. Erik Sonnhammer's group at SciLife Lab and Assist. Prof. Martina Scolamiero at KTH Mathematics department. What we offer
Read more about what it's like to work at KTH and our benefits. QualificationsRequirements
Preferred qualifications
In addition, we prefer that the person is competent with following qualifications.
Great emphasis will be placed on personal skills. Trade union representativesContact information to trade union representatives. To apply for the positionLog 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:
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 employmentThe position offered is for, at the most, three 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. OthersStriving 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. We firmly decline all contact with staffing and recruitment agencies and job ad salespersons. About KTHKTH Royal Institute of Technology in Stockholm has grown to become one of Europe’s leading technical and engineering universities, as well as a key centre of intellectual talent and innovation. We are Sweden’s largest technical research and learning institution and home to students, researchers and faculty from around the world. Our research and education covers a wide area including natural sciences and all branches of engineering, as well as architecture, industrial management, urban planning, history and philosophy. Read more here Apply here
Type of employment
Temporary position Contract type
Full time Full-time equivalent
100% First day of employment
According to agreement Salary
Monthly salary Number of positions
1 Location
Stockholm County
Stockholms län Country
Sweden Reference number
PA-2025-1330 Published
12.May.2025 Last application date
22.Jun.2025
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