Master thesis work

To apply for a Master thesis work related to obesity, NAFLD, T2D and cancer, send an email with a short Motivation letter and CV to Assistant Professor of Systems Biology, Adil Mardinoglu ([email protected]).

Postdoctoral fellows in Systems Biology of human disease

KTH in Stockholm is the largest and oldest technical university in Sweden. No less than one-third of Sweden’s technical research and engineering education capacity at university level is provided by KTH. Education and research spans from natural sciences to all branches of engineering and includes architecture, industrial management and urban planning. There are a total of almost 11,500 first and second level students and almost 1,900 doctoral students. KTH has 4,900 employees.

The School of Biotechnology at the Royal Institute of Technology offers a curriculum that reflects the multidisciplinary nature of Biotechnology, integrating theoretical and applied science in undergraduate and graduate courses. The school has six departments with about 300 employees, located at AlbaNova University Center, Stockholm and Science for Life Laboratory, Solna. The biotechnology research within the school is internationally well recognized.

SciLifeLab is a national resource center dedicated to large scale bioscientific research with focus on biomedicine, including genome and proteome profiling, bioimaging and bioinformatics. SciLifeLab Stockholm has been formed jointly by the three Stockholm universities, Royal Institute of Technology (KTH), Karolinska Institutet (KI) and Stockholm University (SU), and thus combines the profiles and strengths of these three institutions. Academic research as well as the Swedish health care system and the Swedish Life Science industry will benefit through active collaboration, access to advanced tools and active programs for knowledge transfer. The goal is to achieve critical mass for large-scale life sciences and translational medicine.

Project description

Systems biology is an interdisciplinary subject where the systems of biological components are studied using mathematical models, computational models and experimental technologies such as genomics, proteomics, transcriptomics and metabolomics. It includes application and development of systems biological methods with particular emphasis on integration, analysis and modelling of big data within the field of molecular biosciences.

Mardinoglu lab at SciLifeLab develop Genome-scale metabolic models (GEMs) for human cells/tissues and employ these comprehensive models in the analysis of the omics data obtained from subjects with complex diseases including obesity, Non-alcoholic fatty liver disease (NAFLD), Type 2 diabetes (T2D) and certain types of cancer (e.g. Hepatocellular Carcinoma) This is an exciting area of biomedical research, driven by the increase of common metabolic disorders as well as recent discoveries of metabolic reprogramming in cancer.

We are now seeking postdocs with strong computational skills to integrate the GEMs with other biological networks including regulatory, signalling and protein-protein interactions (PPIs) networks. The candidates will use these integrated networks in the analysis of the omics data obtained from different clinical conditions to identify drug targets and discover biomarker for the development of the efficient treatment strategies. The candidates will be working with closely collaborated the experimental groups as well as number of big pharma companies.


The candidates are expected to perform research in Systems Biology, Systems Medicine, Network Medicine and Bioinformatics. We are therefore seeking for two highly motivated individuals with a PhD in Computational Biology (degree must have been completed no more than five years before the application deadline), and a strong publication record.

The candidates should also have a basic background information in applied mathematics and bioinformatics, especially in network models abgraph theory. The candidates should also be adept at programming numerical algorithms in languages such as MatLab, R and Python.

The candidates should be highly motivated for doing scientific research related to human diseases and should have well developed analytical and problem solving skills. Additionally the candidates should have excellent written and oral communication skills.


Form of employment: Two years position and possibility for additional two years extension.
Scope: Systems Biology and Systems Medicine
Start date: According to agreement.
Announced positions: 2


The application must include CV, Cover letter (detailing both your previous scientific work experience and your interest in this position) and Contact information for three references. Applicants may apply by sending email to Professor of Systems Biology, Adil Mardinoglu ([email protected]).