PhD student - Machine Learning (m/f/d)

Stellenbeschreibung:

Overview

PhD Student/Bioinformatician (gn*) Fixed term of 3 years | Full-time with 100% | Salary according to TV-L, salary group 13 | Institute of Medical Informatics | Job ID: 11712

We are UKM. We have a clear social mission and, with our focus on healthcare, research, and teaching, we bear a unique responsibility – ideally with you on board! The position is based at the Institute of Medical Informatics within the bioinformatics service unit of the research group “Machine Learning for Biomedical Data” led by Prof. Dominik Heider and is embedded in the DFG-funded Collaborative Research Centre (CRC) 1748, Principles of Reproduction. The CRC 1748 involves scientists of the University, University Hospital, and Max Planck Institute Münster as well as of the RWTH Aachen. Our central objective is to elucidate the genetic, molecular, and cellular mechanisms governing the formation and function of the testis, production and function of sperm, fertilisation, as well as early embryonic development - in both health and disease. To this end, we combine interdisciplinary research in molecular, structural, and cell biology as well as in physiology, biophysics, epi/genetics, (bio)informatics, and multimodal data analysis.

The bioinformatics service unit offers support and services for the analysis of large-scale omics data.

Responsibilities

Develop, implement, and maintain bioinformatics pipelines for various omics data, including RNASeq and scSeq besides others
Contribute to the development of new algorithms and methods for the efficient analysis of large-scale omics datasets
Participate in workflow automation and management using systems such as Snakemake
Participate in the Integrated Research Training Group “Reproduction.MS PhD-Training Centre in Translational Science”

REQUIREMENTS

Master’s degree in Computer Science, Bioinformatics, Medical Informatics, Computational Biology, or a related discipline
Knowledge of algorithm development and bioinformatics pipelines
Experience in the analysis of biological data (e.g., omics technologies) is desirable
Programming skills (e.g., Python, R, C/C++)
Knowledge of workflow management systems (e.g., Snakemake) is beneficial
Motivation for scientific work and willingness to contribute to an interdisciplinary team
Good English communication skills (spoken and written); German skills are advantageous

We offer

Salary according to tariff agreement, extra annual payment, and company pension plan (VBL)
30 days of vacation per year, plus two additional days off on Christmas Eve and New Year's Eve
State-of-the-art computing infrastructure
Competitive, interdisciplinary, and international research environment with a track record of intense mutual collaboration
Structured PhD-training programme with a wide range of professional development opportunities
A respectful and appreciative work environment within a diverse team
Support and advisory services for health and work-life balance
Additional benefits such as sports programmes, job ticket, company events, cafeteria, and emergency childcare