Materials science and technology are our passion. With our cutting-edge research, Empa's around 1,100 employees make essential contributions to the well-being of society for a future worth living. Empa is a research institution of the ETH Domain.
Position Overview
We are seeking a candidate for a role involving:
* Large-scale data analysis, programming, and statistical evaluation
* Machine learning analyses: implementation of established and new workflows
* Coordination of activities with consortium partners, including presentation of results at consortium meetings
* Preparation of results for publishing and presentation at conferences
* Development of models for health and environmental impact assessment
Your Profile
We are looking for a candidate with:
* PhD in computational biology or life cycle assessment
* Results-oriented and cooperative personality
* Background in computational biology, bioinformatics, life cycle assessment, hazard assessment, or a related field
* Strong programming and statistical knowledge, including machine learning
* A strong academic record
* Excellent communication skills with a good command of English
Beneficial skills include:
* Familiarity with Safe and Sustainable by Design methods and tools
* Familiarity with datasets and models for health and environmental impact assessment
* Interest in mechanisms of disease development
* Expertise in network analysis
* Experience with omics data analysis
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