[Stellenangebote] PhD position / Computational Immunology / Charité Berlin

Buchauer, Lisa Franziska lisa.buchauer at charite.de
Di Jun 27 14:37:21 CEST 2023


Liebe Liste,

Ich nehme bis 31.01.2023 Bewerbungen für zwei Promotionsstellen in Computational Biology an der Charité - Universitätsmedizin Berlin entgegen.

Gesucht werden Master-Absolventen aus quantitativen Fächern (Physik, Mathematik, (Bio-)informatik), die Interesse an spannenden Fragen in Biologie oder Medizin haben genauso wie solche aus lebenswissenschaftlichen Fächern (Biologie, Biomedizin, Biochemie…), die gern quantitativ denken und ihre theoretischen Fähigkeiten ausbauen möchten.

Ihr findet die Ausschreibung hier https://libuchauer.github.io/lab/ und unten. Wenn Ihr die Ausschreibung an relevante Personen und Listen weiterleiten könntet, wäre ich Euch sehr dankbar.

Mit besten Grüßen

Lisa

——
Prof. Dr. rer. nat. Lisa Buchauer
Systems Biology of Infectious Diseases

lisa.buchauer at charite.de<mailto:lisa.buchauer at charite.de>

Klinik für Infektiologie und Intensivmedizin
Charité – Universitätsmedizin Berlin
Augustenburger Platz 1 / Südring 2
13353 Berlin






PhD Position in Computational Immunology

with Translational Focus in Berlin


We are looking for a PhD student to join the recently established computational research group of “Systems Biology of Infectious Diseases” headed by Prof. Dr. rer. nat. Lisa Buchauer. The group is part of the Department of Infectious Diseases and Intensive Care at Charité - Universitätsmedizin Berlin, a highly collaborative, international and welcoming work environment with a translational focus.


The desired start date is between September 1st and November 1st, 2023. The initial contract duration is 3 years. The position is remunerated according to German public service pay scale (65% TV-L 13).


Our research interests

Our group collaborates with experimentalists and clinicians on translational infectious disease & fundamental immunology research projects and develops computational tools for the analysis of omics data. Candidates are expected to contribute to both areas, but can set their own emphasis according to their interests and skills.

Your research will include analyzing, modeling, and interpreting high-dimensional biomedical datasets, comprising single-cell or bulk omics assays, spatial assays, clinical data and more. Approaches you will employ and develop may include - but are not limited to - mathematical models, computer simulations, and machine learning methods. Collaboration opportunities include immune responses, therapeutic interventions and vaccine design against respiratory infections, nosocomial infections, HIV and tuberculosis.

In computational method development, our primary objective is to create tools that facilitate the informative fusion of data from various sources, such as different modalities, technologies or diseases. Your research will include developing and prototyping ideas, benchmarking competing approaches as well as productionizing and maintaining your software.


Your Profile

We are looking for candidates with a master’s degree in a quantitative discipline (physics, mathematics, computer science, computational biology, bioinformatics or similar) with a desire to apply their skills to biomedical research questions. Good command of at least one programming language (e.g. python, R, Julia) is required. Candidates with a master’s degree in a life science (biology, biomedicine, biochemistry or similar) are welcome to apply if they have a strong analytical side and the desire to expand their theoretical and computational skills.


Prior experience with any of the following is considered a plus: omics data analysis, mathematical modeling, machine learning, spatial or temporal data analysis, software development principles and biological wet-lab work. Candidates should be curious, willing to work in a multidisciplinary team, and have a strong sense of ownership for their projects. Fluency in English is required (B2-C1).

Please send your CV, a one-page motivation letter and the contact information of at least one reference directly to lisa.buchauer at charite.de<mailto:lisa.buchauer at charite.de> as a single pdf by July 31st, 2023. Informal enquiries are encouraged; we are looking forward to receiving your application!



Mehr Informationen über die Mailingliste Stellenangebote