Friedrich Schiller Universität, Germany
Job Information
Organisation/Company
Friedrich Schiller Universität
Research Field
Computer science
Researcher Profile
Recognised Researcher (R2)
Country
Germany
Application Deadline
14 Mar 2024 – 00:00 (UTC)
Type of Contract
To be defined
Job Status
Full-time
Hours Per Week
To be defined
Is the job funded through the EU Research Framework Programme?
Not funded by an EU programme
Is the Job related to staff position within a Research Infrastructure?
No
Job Description
Vacancy ID: 025/2024
Closing date: 2024-03-03
Friedrich Schiller University, a renowned institution situated in Germany, boasts a robust research profile across various fields. With its emphasis on Light-Life-Liberty, the university offers a wide spectrum of subjects and actively collaborates with both research and cultural organizations. With a sizable student body of around 18,000 and over 8,600 staff members, the university significantly contributes to the dynamic and progressive ambiance of Jena.
The opportunity lies within the Cluster of Excellence Balance of the Microverse, a collaborative initiative focused on unraveling the fundamental dynamics of microbial communities in diverse habitats. Drawing on expertise from life sciences, materials sciences, optics, and computational sciences, the cluster aims to understand the microbiome-level interactions in disturbed ecosystems, polluted environments, and infectious diseases, while devising targeted intervention strategies.
The Viral Ecology and Omics Group, within this cluster, investigates the role of viruses in the Microverse. Employing a multidisciplinary approach, the group conducts microbiological and eco/evolutionary experiments, complemented by molecular biology techniques, microscopy, (meta)genomics, bioinformatics, artificial intelligence, and computational modeling. Their facilities include a sophisticated wet lab equipped with cutting-edge automation systems and a comprehensive array of molecular biology and microbiology equipment. Additionally, their dry lab provides access to bioinformatics tools and databases via the FSU high-performance compute cluster.
As part of the ERC-funded project “Predicting the evolution of complex phage-host interactions: DiversiPHI,” they are seeking a:
Postdoctoral Researcher specializing in Bioinformatics & Machine Learning…
Phage-host interactions (PHI) are an emergent trait that depends on the complex integration of factors like their taxonomic identity, the environment, and phage- and host-encoded proteins. The DiversiPHI project aims to unravel PHI by 1) measuring, 2) modelling, and 3) experimentally testing these diverse factors to develop a predictive understanding of host-range evolution. Your role will be to integrate experimental evolution data that we have obtained in the project with data from public repositories, to predict and understand the evolution of phage host-range.
Your responsibilities:
- Plan, design, and create machine learning tools to integrate bacteriophage and bacterial (meta-) genomics data.
- Analyse phage-host association datasets, which are often noisy and require specific knowledge to interpret.
- Communicate and discuss your predictions with experimental group members.
- Report your findings in publications and presentation at international scientific platforms.
- Support PhD students, Master students and undergraduate project students.
- Collaborate productively with experimental and computational researchers in the Microverse.
Your profile:
- A Ph.D. degree in bioinformatics, computational biology, machine learning, or a related field with specialist knowledge and demonstrated hands-on expertise in meta’omics data analysis, bacteriophages, and machine learning.
- Track record of planning, performing, and publishing original research.
- Track record of supervision and training of students or junior researchers.
- Enthusiasm and talent for working on a variety of projects in parallel and for interdisciplinary research.
- Strong motivation, excellent organisation skills and ability to contribute to a friendly and collaborative working environment in a cross-disciplinary scientific research group.
- Fluency in English is required, both written and spoken. Fluency in other languages is advantageous.
The offer:
- Embedding in a highly interactive and collaborative research group at the forefront of the viral ecology and metagenomics field
- A unique opportunity to integrate modelling, omics data, and wet lab experiments
- Jena – City of Science: a young and lively town with a vibrant local cultural agenda. Jena is among the most liveable cities in Germany. Situated on the Saale River and surrounded by the famous Thuringian Forest, this city is ideal for lovers of nature and hiking.
- University health promotion and a wide range of university sports activities
- Attractive fringe benefits, e.g. capital formation benefits (VL), Job Ticket (benefits for public transport), and an occupational pension (VBL)
- Remuneration based on the provisions of the Collective Agreement for the Public Sector of the Federal States (TV-L) up to salary scale E 13 (depending on the candidate’s personal qualifications) including a special annual payment in accordance with the collective agreement.
- 30 days of vacation per calendar year plus two days off on December 24 and 31
This is a full-time position (40 hours per week) for 2.5 years. The Friedrich Schiller University Jena is an equal opportunity employer and part-time contracts can be discussed.
To promote gender equality in science, applications by woman are especially welcome. Candidates with severe disabilities will be given preference in the case of equal qualifications and suitability.
If you have any questions about the position or the work in the VEO Group, please contact Bas Dutilh at [email protected] .
Are you eager to work for the job? Then apply by March 3, 2024 using the online form.
Requirements
Additional Information
Work Location(s)
Number of offers available1
Company/Institute Friedrich Schiller UniversitätCountryGermanyGeofield
Where to apply
Website
https://illbeback.ai/job/postdoctoral-researcher-bioinformatics-machine-learnin…
