On this page you will find a compilation of working groups/academic facilities that offer theses (BSc an MSc) and research internships (MSc) for bioinformatics students. Please ask the contact person whether suitable projects are currently available.

• Department of Mathematics and Computer Science (FU Berlin)
• Department of Biology, Chemistry, Pharmacy (FU Berlin)
• Charité - Universitätsmedizin Berlin
• Other research institutions

Please note: Each thesis project is individually reviewed and approved by the examination board chairperson upon registration. It is not certain that every project that is offered to you will actually be accepted! It is therefore important that you register your thesis right at the beginning!

Professional internships (Berufspraktika) are not offered here, please read this page.

Department of Mathematics and Computer Science (FU Berlin)

Algorithmic Bioinformatics (AG Reinert)

• Range of topics: algorithms for NGS analysis in the SeqAn library (www.seqan.de), algorithms for the analysis of HPLC/MS proteomics data (www.openms.de); other topics are possible: cf. https://wikis.fu-berlin.de/display/abi/BSc+and+MSc+Topics
• Contact: Prof. Dr. Knut Reinert

Mathematics of Data Sciences (AG von Kleist)

• Range of topics: Development of stochastic and hybrid modelling approaches in systems biology and -pharmacology; application to infection prevention and cure; Development of data science and machine learning for high throughput (genomics, transcriptomics) data analysis; other topics are possible.
• Contact: Prof. Dr. Max von Kleist

Biomedical Data Science (AG Jahn)

• Range of topics: Statistical models and algorithms for omics data analysis, particularly singe-cell data; computational cancer research, study of intra-tumour heterogeneity and tumour evolution, phylogeny reconstruction
• Contact: Prof. Dr. Katharina Jahn

Data Integration in the Life Sciences (AG Baum)

• Range of topics: Integrative (omics) data analysis, mainly using molecular networks and graphs, machine learning and/or mathematical modeling, and especially their combination (informed machine learning) and method development; basics of (biomolecular) database systems
• Contact: Prof. Dr. Katharina Baum

Mathematical Modelling of Cellular Processes (AG Wolf, MDC)

• Range of topics: Computational Systems Biology and System Medicine, computational modeling, data analysis
• Contact: Prof. Dr. Jana Wolf

Bioinformatics Solutions Center

• Range of topics: Focus on applied bioinformatics, e.g. workflows, high-performance algorithms and implementations (C++) and quality control metrics (NGS and proteomics). An partial list of topics is available at https://www.bsc.fu-berlin.de/TeachingAndWorkshops/B_Sc_-and-M_Sc-Thesis/index.html
• Contact: Dr. Chris Bielow, Dr. Sandro Andreotti mail@bsc.fu-berlin.de

ABC (AG xy)

• Range of topics: xy
• Contact: xy

Department of Biology, Chemistry, Pharmacy (FU Berlin)

Molecular Drug Design (AG Wolber)

• Range of topics: Algorithmen zum computergestützten Wirkstoffdesign, Workflows für virtuelles Screening und zur Analyse von Eigenschaften von kleinen organischen Molekülen, Data mining & machine learning
• Contact: Prof. Dr. Gerhard Wolber

Human Biology and Primate Evolution (AG Nowick)

• Range of topics: Comparison of genome and transcriptome data with focus on evolution, brain and gene regulation
• Contact: Prof. Dr. Katja Nowick

Ecology of Plants, Rillig Lab (AG Rillig)

• Range of topics: omics applied to the environment and ecology, including metagenomics, metatranscriptomics, metataxonomics, the lab link provides general information of projects, contact us about what is related to bioinformatics
• Contact: Dr. Stefan Hempel
  

Molecular Ecology and Genomics (AG Monaghan, Leibniz-IGB)

• Range of topics: Environmental genomics, environmental microbiome, biodiversity, biomonitoring in lakes and rivers, eDNA
  Field- and Laboratory components also possible
• Contact: Prof. Dr. Michael Monaghan

Biodiversity and Conservation Genomics (AG Mazzoni, Leibniz-IZW)

• Range of topics: Genomics of non-model species, reference genomes, population genomics, genome evolution, comparative genomics, bioinformatics workflows, genomics applied to threatened species and ecosystems.
• Contact: Dr. Camila Mazzoni

Computational and Theoretical Chemistry (AG Keller)

• Range of topics: Molecular-dynamics simulations, kinetic models
• Contact: Prof. Dr. Bettina G. Keller

Biochemistry and Genetics (AG Stricker)

• Range of topics: xyStammzellen im muskuloskeletalen System; Analyse von OMICs Datensätzen aus z.B. RNA-Seq Histone profiling Experimenten
• Contact: Prof. Dr. Sigmar Stricker

Charité - Universitätsmedizin Berlin

Institute of Biometry and Clinical Epidemiology (AG Konietschke)

• Range of topics: Statistical Methods, Resampling Methods, High-Dimensional Data Analysis
• Contact: Prof. Dr. Frank Konietschke

AI in the Life Sciences (AG Eils, BIH)

• Range of topics: Health data, disease risk modeling, treatment recommendation, machine learning
• Contact: Dr. Alexandra Friedrich

Intelligent Imaging (AG Conrad, BIH)

• Range of topics: single cell sequencing, spatial transcriptomics, high content screening, machine learning
• Contact: Prof. Dr. Christian Conrad

Systems Biology of Infectious Diseases (AG Buchauer)

• Range of topics: Computational method and software development for single cell omics data and flow cytometry data; high-dimensional data analysis (single cell omics, bulk RNAseq, spatial omics, flow cytometry) in translational collaboration projects with infectious disease/vaccine/immunology researchers and clinicians
• Contact: Prof. Dr. Lisa Buchauer

ABC (AG xy)

• Range of topics: xy
• Contact: xy

Other research institutions

Bioinformatics in Medicine (Zuse Institute Berlin)

• Range of topics: xMachine learning for analysis of omics data; network-based data integration; mathematical modelling
• Contact: PD Dr. Tim Conrad

 MF 2: Domain Specific Data Competence Centre (Robert Koch Institute)

• Range of topics: Data engineering; visualization of health data; data standardization for epidemiology and surveillance (e.g., FHIR); method development for (meta)omics data analysis
• Contact: PD Dr. Thilo Muth

MF 1: Genome Competence Center (Robert Koch Institute)

• Range of topics: Applied bioinformatics in the field of pathogenomics, pangenomics, metagenomics, gene expression analyses, singe cell transcriptomics, phylogenetics, genotype-phenotype mapping, research software engineering, evolution of pathogen virulence and genome-based pathogen surveillance
• Contact: Dr. Stephan Fuchs, Dr. Thorsten Semmler

Computational and Developmental Biology (Max Delbrück Center)

• Range of topics: Machine learning and data analysis of single-cell omics data (single-cell multiomics, spatial transcriptomics) Single-cell regulatory genomics –understanding the
  enhancer code controlling development Evolutionary models of embryonic development Computational method and software development for time-resolved imaging and single-cell omics data
• Contact: Dr. Markus Mittnenzweig

Biosocial | Biology, Social Disparities, and Development (Max Planck Institute for Human Development)

• Range of topics: Applying omics research to social science research on health and education inequality; genome-wide DNA methylation machine learning; genome-wide association studies;  polygenic scores
• Contact: Dr. Laurel Raffington