We are looking for a highly motivated researcher to join the Computational Systems Biology group, a newly established research group at the University of Salzburg led by Nikolaus Fortelny
(uni-salzburg.at/fortelny).
The group focuses on understanding how regulation occurs in complex biological systems, in particular inter- and intra-cellular signaling events. We thus apply and develop computational methods from network biology, machine learning, and advanced statistics in order to dissect regulation events based on multi-omics and single-cell data. By integrating these descriptive data across layers of biological regulation, in combination with prior knowledge and functional data (CRISPR screens), we seek to develop a systematic understanding of how molecular signal transduction in and between cells functions. The lab encompasses both methods development and biomedical research through collaborations with both experimental and theoretical groups.
The position is funded by a primary project that is focused on deciphering molecular events leading to the development of ultra-high-risk neuroblastoma, based on a collaboration with the St. Anna Children’s Cancer Research Institute in Vienna. The project’s aim is to dissect aberrant regulatory events in neuroblastoma through development of novel computational methods and/or application of methods to comprehensive in-house datasets.
Location
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 computational sciences.
Contract details
Contract duration: 2 years
Gross yearly salary (B1): approx. 55 000 EUR
Expected start date: March 1st 2021
Application deadline: January 10th, 2021
Requirements and relevant expertise
• Relevant doctoral degree in bioinformatics, computational biology, or quantitative research fields such as mathematics, statistics, physics, and others
• Publication experience in computational biology
• Statistical analysis of -omics data sets and/or single-cell data
• Integrative analysis across multi-omics datasets
• Network biology and mathematical models of biological systems
• Machine learning, data science, advanced statistics
• Extensive knowledge of the programming languages such as R or Python
Application
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 references to nikolaus.fortelny@sbg.ac.at, providing the reference text “Postdoc application 03/2021” in the subject line.
We look forward to hearing from you!