The position will support research and teaching activities in the Computational Systems Biology group, a new research group in the Department of Biosciences of the University of Salzburg. The group is led by Nikolaus Fortelny and focuses on developing advanced computational methods to ask novel and exciting questions about biological systems, building on multi-omics (epigenomics, transcriptomics, proteomics) and single-cell data.
(Google Scholar profile: scholar.google.com/citations?user=IHjaqgkAAAAJ).
The contract (40h/week) is initially limited to 4-years, followed by an evaluation for permanent employment (tenure). The city of Salzburg is ranked among the top 25 small cities (MONOCLE magazine), with ample natural and cultural attractions as well as fast connections to Vienna and Munich. The University of Salzburg has 18 000 students, and a highly collaborative research environment in both biology and computation.
Responsibilities:
• Analysis of multi-omics and single-cell data sets
• Development of methods at the interface of network biology and machine learning
• Development of databases and software packages
• Teaching, supervision of internships, co-supervision of theses
• Maintenance of the computing infrastructure
• Assistance with the organization of conferences, websites, science communication
• Support with publications and grant writing
Requirements:
• Relevant doctoral degree (bioinformatics, computational biology, or related fields)
• Publication experience in Computational and Systems Biology
• Considerable experience with statistical analysis of -omics data sets
• Extensive knowledge of the programming languages such as R or Python
• Profound understanding of biological and biomedical concepts
• Excellent English skills, German is expected within a reasonable time frame
Additional relevant experience:
• Integrative analysis across multi-omics and single-cell data
• Network biology and mathematical models of biological systems
• Machine learning, data science, advanced statistics
Enthusiastic computational scientists with a strong motivation for asking systematic questions in biology are encouraged to apply. Please send your motivation letter (one to max. two pages), CV, and names of three reference contacts to bewerbung@sbg.ac.at, providing the reference number “GZ A 0080/1-2020” in the subject line.
Deadline: September 23rd 2020.
We look forward to hearing from you!