Postdoc Position in Computer Science (Royal Institute of Technology)

Job description We 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 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 Guidance on relocating and settling in KTH and in Sweden Opportunity to supervise master students and PhD scholars Opportunity to teach and develop courses 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. Here you fill in additional requirements for the position, in case of any language requirements, justification is required. Contact HR if you have any questions. A doctoral degree in electrical engineering, computer science, data science, mathematics or a related field is required. Preferred qualifications A doctoral degree or an equivalent foreign degree, obtained within the last three years prior to the application deadline Prior theoretical knowledge in linear algebra, probability theory, deep learning, machine learning, generative AI like generative adversarial networks (GAN), normalizing flows, diffusion models, etc., and their practical implementations. Added knowledge in mathematical topics like graphs and topologies will be helpful. Interest to learn life science data analysis and their use in medical science. Knowledge in relevant coding softwares like Python / Matlab, and interest to perform hands-on coding experiments. In addition, we prefer that the person is competent with following qualifications. Research expertise Teaching abilities Awareness of diversity and equal opportunity issues, with specific focus on gender equality Collaborative abilities Independence 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. The application must include: CV including relevant professional experience and knowledge. Publication list. 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, 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. 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. We firmly decline all contact with staffing and recruitment agencies and job ad salespersons. Disclaimer: In case of discrepancy between the Swedish original and the English translation of the job announcement, the Swedish version takes precedence. About KTH KTH 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 Contact Saikat Chatterjee sach@kth.se Martina Scolamiero scola@kth.se If you apply for this position please say you saw it on Computeroxy

Job description

We 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

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
Guidance on relocating and settling in KTH and in Sweden
Opportunity to supervise master students and PhD scholars
Opportunity to teach and develop courses

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.
Here you fill in additional requirements for the position, in case of any language requirements, justification is required. Contact HR if you have any questions.
A doctoral degree in electrical engineering, computer science, data science, mathematics or a related field is required.

Preferred qualifications

A doctoral degree or an equivalent foreign degree, obtained within the last three years prior to the application deadline
Prior theoretical knowledge in linear algebra, probability theory, deep learning, machine learning, generative AI like generative adversarial networks (GAN), normalizing flows, diffusion models, etc., and their practical implementations.
Added knowledge in mathematical topics like graphs and topologies will be helpful.
Interest to learn life science data analysis and their use in medical science.
Knowledge in relevant coding softwares like Python / Matlab, and interest to perform hands-on coding experiments.

In addition, we prefer that the person is competent with following qualifications.

Research expertise
Teaching abilities
Awareness of diversity and equal opportunity issues, with specific focus on gender equality
Collaborative abilities
Independence

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.

The application must include:

CV including relevant professional experience and knowledge.
Publication list.
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, 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.

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.

We firmly decline all contact with staffing and recruitment agencies and job ad salespersons.

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

About KTH

KTH 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