The goal of our projects is the development of algorithms and computer-aided methods for personalized infection medicine, particularly clinical metaomics, vaccine and drug design, as well as development of core technologies for meta- and other omics analyses. The methods that we develop make use of concepts from machine learning, phylogenetics and population genetics. The lab co-organizes the Critical Assessment of Metagenome Interpretation challenge, hosts the bioinformatics unit of the German Center for Infection Research (DZIF), and is well connected to local, national and international partners from medicine, biology and computer science. The department offers many projects with the opportunity for an excellent postdoc to shine, a supportive and family friendly work environment, as well as attractive salaries.
The candidate should have a PhD degree in bioinformatics, computational biology, machine learning, biomathematics, computer science, statistics or similar and a competitive publication record. A commitment to reproducible research, the ability to work in a highly interdisciplinary research field, independently and within a team, as well as very good programming skills are obligatory. Prior experience in metaomics, infection research, statistical learning or with the analysis of NGS data sets is advantageous, but not necessary.
Please send your (electronic) application materials including a letter of motivation, curriculum vitae, copies of your most important publications and addresses of two or three referees referring to code PD/2020-HZI to:
Helmholtz Centre for Infection Research, Dept. of Human Resources
Inhoffenstraße 7, 38124 Braunschweig
or by E-Mail to:
JobsHZI@helmholtz-hzi.de with CC to jobs.BIFO@helmholtz-hzi.de