SPostdoc in Computational Ecology: Join our team at Ludwig-Maximilians-Universität München as a Postdoc in Computational Ecology. This position offers the opportunity to engage in computational research within the field of biodiversity and ecological interaction networks. If you are passionate about biodiversity, ecological communities, and species interactions, and have a strong interest in computational ecology, this role may be an exciting opportunity for you.
Postdoc in Computational Ecology (M/F/X) in Planegg-Martinsried
Designation:
Postdoc in Computational Ecology (M/F/X)
Research Area:
Biodiversity, ecological communities, species interactions, ecological network resilience, land-use gradients, climatic niches, microbiome assembly and function
Location:
Planegg-Martinsried, Germany
Eligibility/Qualification:
- PhD in natural sciences or equivalent, particularly in the areas of ecology or bioinformatics with focus on computational analyses in the dissertation
- Strong interest in computational ecology, biodiversity, and interaction ecology as well as ecological theory
- Interest and/or experience in analysis of big and heterogeneous datasets
- Routine with coding in R and/or Python
- Good writing, reading, and communication skills in English
Job Description:
As a Postdoc in Computational Ecology, your tasks and responsibilities will include:
- Developing research questions using ecological theory
- Analyzing diverse datasets focusing on networks, ecological traits, bacterial genomes, and community monitoring data
- Developing and testing new methods
- Sharing scientific results
- Teaching responsibilities (5 SWS) and supervising thesis students
- Potential third-party funding applications
- Coordination
How to Apply:
Please send your application as one single PDF file per email to Prof. Alexander Keller until 13th October 2024. Applications should include a cover letter, a short summary of research interests, CV including publications and third-party funding, and names (with email addresses) of two potential referees.
Last Date for Apply: 13th October 2024
