Postdoc in Artificial Intelligence (Microbiome & Aging Research)

Leibniz Institute on Aging - Fritz Lipmann Institute (FLI)
Dönertaş Research Group
GermanyJena
donertas-group.github.io

Description

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.

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: 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

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.


Qualifications

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


Start date

January 01, 2022

How to Apply

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

Apply here: jobs.leibniz-fli.de/jobposting/9059f8ffd8d2395065d12434524307647d3afe960


Contact

Melike Dönertaş
melike.donertas@leibniz-fli.de