Your Job:

Develop methods and workflows to construct robust co-regulation networks from large single-cell and spatial transcriptomics datasets
Integrate ontologies and metadata (e.g., tissue, cell type, developmental stage, treatment) to build tissue- and context-specific co-regulation networks
Design and implement clustering and integration approaches (e.g., network-based and subspace clustering)
Use co-regulation networks for gene function and protein–protein functional relationship prediction (guilt-by-association), and benchmark them against existing bulk co-expression resources
Compare and optimise the developed methods on real biological datasets; work closely with experimental partners for interpretation and validation of results
Contribute to the integration of the developed methods into open-source software tools and data portals of the institute • Collaborate with internal and external, as well as national and international, project partners
Present your results at national and international conferences
Prepare scientific publications and project reports

Your Profile:

Genuine interest in data science and one or more of its application domains: life and medical sciences, earth sciences, energy systems, or material sciences
A Masters degree with a strong academic background in mathematics, computer science, physics, material science, earth science, life science, engineering, or a related field
Proficiency in at least one programming language (Python, R, C++, Julia, …)
Good analytical skills with a sound understanding of data evaluation
Prior experience with single-cell data analysis, network analysis, or machine learning are a plus
Good organisational skills and ability to work both independently and collaboratively
Effective communication skills and an interest in contributing to a highly international and interdisciplinary team
Motivation for academic development, supported by bachelor’s and master’s transcripts and two reference letters
Working proficiency in English for daily communication and professional contexts.(TOEFL or equivalent or exemption required)
Knowledge of German is beneficial

Our Offer:

We work on the very latest issues that impact our society and are offering you the chance to actively help in shaping the change! This HDS-LEE PhD position will be located at Forschungszentrum Jülich, HHU Düsseldorf and Aarhus. We offer ideal conditions for you to complete your doctoral degree:

Outstanding scientific and technical infrastructure
Cutting Edge data are available for analysis
Highly motivated groups as well as an international and interdisciplinary working environment at one of Europe’s largest research establishments
Continuous scientific mentoring by your scientific advisors
Chance of participating in (international) conferences
Unique HDS-LEE graduate school program (including data science courses, soft skill courses and annual retreats) https://www.hds-lee.de/about/
Qualification that is highly welcome in industry
Further development of your personal strengths, e.g. via a comprehensive further training program; a structured program of continuing education and networking opportunities specifically for doctoral researchers via JuDocS, the Jülich Center for Doctoral Researchers and Supervisors: https://www.fz-juelich.de/judocs
30 Days of annual leave and flexible working arrangements, including partial remote work
Targeted services for international employees, e.g. through our International Advisory Service

The position is initially limited to three years, with a planned one-year extension. Pay in line with 75% of pay group 13 of the Collective Agreement for the Public Service (TVöD-Bund) and additionally 60 % of a monthly salary as special payment („Christmas bonus“). Further information on doctoral degrees at Forschungszentrum Jülich including our other locations is available at: www.fz-juelich.de/gp/Careers_Docs

Further information on doctoral degrees at Forschungszentrum Jülich (including its various branch offices) is available at https://www.fz-juelich.de/en/careers/phd

We welcome applications from people with diverse backgrounds, e.g. in terms of age, gender, disability, sexual orientation / identity, and social, ethnic and religious origin. A diverse and inclusive working environment with equal opportunities in which everyone can realize their potential is important to us.

The following links provide further information on diversity and equal opportunities: https://go.fzj.de/equality and on specific support options for women: https://go.fzj.de/womens-job-journey