Professorship in Computational Plant Systematics, Ludwig Maximilian University of Munich (LMU), Germany

Summary

Ludwig-Maximilians-Universität München (LMU) invites applications for a Temporary W2 Professorship (6 years with tenure track) in Computational Plant Systematics within the Faculty of Biology. The position is located in Munich-Nymphenburg at the Chair of Systematics, Biodiversity and Evolution of Plants. The successful candidate will apply computational methods to investigate evolutionary history, adaptation to changing habitats, or plant taxonomy. Responsibilities include establishing third-party funded research projects and contributing to biological bachelor's and master's degree programs. Applicants must hold a university degree and an outstanding doctorate, demonstrating exceptional scientific potential. Tenure to a permanent position is possible after a positive evaluation starting from three years. LMU provides dual-career support.

Key Facts

Employer	Ludwig Maximilian University of Munich (LMU)
Department	Faculty of Biology / Chair of Systematics, Biodiversity and Evolution of Plants
Position Type	Assistant / Associate Professor
Discipline	Biology
Research Area	Computational Plant Systematics
Degree Required	Doctorate
Experience	Post-doctoral experience demonstrating extraordinary potential in research and teaching after a university degree and outstanding doctorate.
Contract Duration	6 years
Employer Address	Geschwister-Scholl-Platz 1, 80539, Bavaria

About the Project

The professorship uses computational methods to research evolutionary history, adaptation to changing habitats, and/or taxonomy of plants. The successful candidate is expected to establish internationally competitive third-party funded projects and participate in collaborative research initiatives within the faculty.

Key Responsibilities

• Conduct research in computational plant systematics using computational methods to study evolutionary history, adaptation, or plant taxonomy.
• Establish internationally competitive third-party funded research projects.
• Contribute to teaching in biological bachelor's and master's degree programs.
• Participate in collaborative research projects within the faculty.

Required Skills

• Completed university degree.
• Above-average doctorate or equivalent qualification.
• Demonstrated extraordinary potential for an academic career through research and teaching achievements in computational methods applied to plant evolution, adaptation, or taxonomy.

Who Should Apply

Early-career researchers with an outstanding doctorate or equivalent qualifications who demonstrate exceptional potential in research and teaching in computational plant systematics, evolutionary biology, or plant taxonomy.

Benefits

• Civil servant status for a temporary period of six years (if statutory requirements are met).
• Tenure track option to convert the temporary position into a lifetime professorship after positive evaluation (earliest after 3 years).
• Possibility of promotion from W2 to W3 in exceptional cases under the LMU Academic Career Program.
• Dual Career Support offered by LMU.
• Access to central service units including High-Performance Computing, Genomics, Bioanalytics, Electron Microscopy, Light Microscopy, Proteomics, and Metabolomics.

About the Employer

The Faculty of Biology at LMU Munich is one of the strongest faculties in research and third-party funding in Germany, located at the High-Tech Campus Martinsried and Munich-Nymphenburg, featuring extensive central service facilities.

Frequently Asked Questions

What is the contract duration and career path for this position?

The position is initially a temporary civil service role for 6 years, with a tenure track option to convert to a permanent lifetime professorship after a positive evaluation (earliest after 3 years).

Where is this professorship based?

The professorship is located in Munich-Nymphenburg at the Chair of Systematics, Biodiversity and Evolution of Plants within the Faculty of Biology at LMU Munich.

What qualifications are required to apply?

Applicants must hold a completed university degree and an above-average doctorate or equivalent qualification showing extraordinary potential in research and teaching.