PhD Researcher

vor 1 Monat


Leipzig, Deutschland Helmholtz Centre for Environmental Research Vollzeit

The UFZ

The Helmholtz Centre for Environmental Research (UFZ) with its 1,100 employees has gained an excellent reputation as an international competence centre for environmental sciences. We are part of the largest scientific organisation in Germany, the Helmholtz association. Our mission: Our research seeks to find a balance between social development and the long-term protection of our natural resources.

The job

The UFZ Department of Ecotoxicology deals with toxicological questions from the molecular to the ecosystem scale in the arena of human and ecosystem health protection. Modern risk assessment uses data from new approach non-animal tests that provide evidence for modes of action of chemicals. Chemical mixtures contain chemicals that act via different modes of action and combined effects occur on the molecular and the organism scale. Mathematical description of those molecular combined effects on the pathway level is challenging but of high value for risk assessment. The working group “integrative toxicology” uses toxicological data, based on toxicogenomic and phenotypic effect pattern analyses, for mixture risk assessment and identification of modes of action and seeks a highly motivated student interested in mixture toxicity, toxicogenomics, data analysis and modelling the address those challenges.

Dependent on the candidate this project can be further refined as a pure computational project or a rather wet-lab project.

Your tasks

investigate the toxicogenomic responses of environmentally relevant chemical mixtures in time and concentration-resolved experiments calculate mixture toxicity with additive and independent action models apply concentration-response modelling for molecular endpoints and derive pathway specific effect thresholds group effect patterns and determine mode-of-action – effect relationships Lab: work with zebrafish embryos, chemical exposure, toxicogenomics, effect observations computational: mixture modelling, pattern recognition, data science

We offer

Excellent supervision and optimal professional and interdisciplinary qualification through our HIGRADE graduate programme The freedom to master even the most demanding challenges between basic research and practical application The opportunity to work in interdisciplinary, international teams and benefit from a wide range of perspectives Firstclass integration into national and international research networks to work together on global challenges Excellent research infrastructure and research data management to optimally support your work A wide range of options for balancing care responsibilities and work through our family office Competent support and advice for international colleagues arriving at the UFZ from the ‘International Office’ Special annual payment, capital-forming benefits and subsidised Deutschland-Job-Ticket A workplace in a vibrant region with a high life quality and social and cultural diversity

Your profile

university degree (Master's degree, university diploma, or equivalent) in the field of mathematical modelling, data science, environmental sciences, (eco)toxicology, (systems)biology, chemistry, life science or a related subject affinity and experience with data analysis dealing with large data sets and their statistical evaluation understanding of basic toxicological principles Creativity and hands-on problem-solving attitude High ability to work independently Interpersonal and oral/written communication skills (excellent English is required, knowledge of German is advantageous) The following experiences are beneficial but not mandatory: programming or modelling experience with respective software knowledge of biological molecular pathways experience in mixture toxicology interest or experience in chemical risk assessment
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