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Job-ID
22/23
Application by 01.09.2022

The Leibniz Institute on Aging - Fritz Lipmann Institute (FLI) in Jena is a federal and state government-funded research institute and member of the Leibniz Association (Leibniz-Gemeinschaft). FLI’ s internationally visible and highly competitive research is focused on understanding the mechanisms of aging and associated age-related diseases. Scientists from over 40 countries are currently investigating the molecular mechanisms of aging and the occurrence of age-related diseases. Our aim is to create the basis for new approaches in medicine as a way to improve the health of the elderly (www.leibniz-fli.de).

The new research group of Dr. Melike Dönertas to be established in January 2023 is looking for a postdoctoral researcher position in Artificial Intelligence to design and apply machine learning algorithms to study host-microbiome interactions during ageing.

Postdoc in Artificial Intelligence (m/f/d)

Research focus of the Lab:
The new research group of Dr. Melike Dönertas at the Leibniz Institute on Aging - Fritz Lipmann Institute (FLI) is part of the DFG-funded Collaborative Research Center on Predictability in Evolution (SFB1310). The group is funded by
Carl-Zeiss Stiftung
. Through the institute and network of collaborations, the group has access to state-of-art animal facilities, equipment for high-throughput data generation, and expertise for experimental validation of computational models. The group is establishing an advanced computational infrastructure with CPU and GPU servers and has access to exceptional core-facility support. More information about the group: https://donertas-group.github.io

Tasks and Challenges:

The overall focus of the project will be the development and application of computational frameworks to study host-microbe interactions, with a particular focus on age series and longitudinal datasets. The candidate:
  • will have the flexibility to develop their own project and/or work on a predefined project that may focus on data integration challenges or predictive modelling
  • will be expected to assume a major role in the writing of publications
  • can write individual fellowships and grant applications to support their research program and career (although not required)
  • will be expected to work harmoniously with other computational and experimental biologists at the lab and institute to develop collaborative projects

      Requirements:

      • PhD in computational biology, bioinformatics, computer science, biology or related fields
      • Experience with machine learning and deep learning algorithms
      • Exceptional programming skills and experience in R and/or Python
      • Excellent written and verbal communication skills in English
      • Interest in ageing or microbiome research
      • Evidence of productivity (publications and conference proceedings/abstracts)
      • Genuine interest in following an independent research career
      • Experience in next-generation sequencing and other omic data will be preferred

      We offer:

      • A motivated team that is building a new international research group - you can help create it! The institute is embedded within the multidisciplinary Jena Beutenberg Campus, an interdisciplinary base for innovative research.
      • A position integrated in the FLI PostDoc Network. The Network promotes interdisciplinary collaborations involving clinician scientists, basic scientists and bioinformaticians and supports career development and postdoctoral training courses.
      • The contract conditions and the salary will be according to the collective labour agreement for public service employees of the federal states of Germany (TV-L E13) for 2 years initially, with a possibility of extension.
        Expected starting date: January 2023
      • Flexible working time, a family friendly working environment including support for child care solutions and dual career.

      Application:

      Please apply online through the FLI application portal by 01.09.2022 and provide a cover letter, your CV, your degrees and the names and contacts of 3 referees.





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