The Vogel and Barquist research groups at the University of Würzburg and the Helmholtz Institute for RNA-based Infection Research (HIRI) are searching for a computational postdoctoral fellow or PhD student to work on developing the next generation of programmable antibiotics.
This project aims to use our labs’ expertise in non-coding RNA-based gene regulation and high-throughput functional genomics screens to develop antisense antibiotics that can target single pathogenic bacterial strains in mixed populations with high accuracy and efficiency. The successful candidate will be involved in the design and analysis of experiments at all stages of project development, and will have access to a wide range of techniques including RNA-seq, transposon insertion sequencing, sequencing-based experimental evolution assays, and metagenomics. The candidate will work with an experienced team of experimental and computational scientists to apply innovative statistical and machine learning techniques to functional genomic data analysis and antisense oligo design.
- A Master’s degree (for PhD students) or PhD (for postdoctoral fellows) in either a life science field with a strong computational component (e.g. genomics, bioinformatics) or a data intensive field.
- Solid programming skills in at least one scripting language (e.g. Python, Perl) and R. Experience with large data sets or sequencing data preferred.
- At least an undergraduate-level background in statistics. Experience with applied machine learning or Bayesian statistics preferred.
- Good written and spoken English-language communication skills, and interest in working as part of an international team of researchers.
- An interest in RNA biology, infection biology, and microbiology, or desire to learn.
The position is available for two years (from January 1st, 2020 onwards) with the possibility of extension for up to five years. Salary will be based on the pay scale for the public sector in Germany (TV-L) and comply with qualification. Part time employment is also possible.
We welcome applications from suitably qualified people from all sections of the community regardless of race, gender or disability. The University aims to increase the proportion of female employees, therefore applications from qualified women are particularly welcome. Preference will be given to people with disabilities in the case of otherwise equal aptitude.
Please send your application as a single PDF file (including cover letter, curriculum vitae, list of publications, statement of current and future research, and contact information for two academic references) by November 30th, 2019 or requests for further information to email@example.com
The official advertisement for this position can be found at the following URL: https://www.uni-wuerzburg.de/fileadmin/32040000/2019/Aus_PhD_IMIBZINF.pdf