Postdoctoral Researcher in Plant Genome Research and Bioinformatics

08.02.2024, Wissenschaftliches Personal

The newly established group “Computational Plant Biology” at the TUM School of Life Sciences in Weihenstephan, Freising is looking for a motivated and talented postdoctoral researcher to join our team, starting as soon as possible

Your responsibilities:

The Computational Plant Biology group at the TUM School of Life Sciences is a newly established group working on plant genomics with a focus on agricultural crops, particularly cereals. Your activities will include conducting research projects in areas such as comparative genomics within large pan-genomes, as well as within a genus, family, or across kingdoms, as well as multi-omics and network analyses. In additions, we work on the development of new methods and approaches in plant genome research all while working a highly international, interdisciplinary research environment. You will also actively participate in teaching in bachelor's and master's degree programs in bioinformatics, particularly in practical courses, and assist in PhD supervision. Additionally, you will have the freedom to apply for your own funding, write research proposals, publish findings, attend conferences, and build a network. Here, you have the opportunity to actively contribute to the advancement of plant genomics while simultaneously furthering your academic and professional career.

Your qualifications:

• A PhD in a relevant field of plant sciences, bioinformatics, or a related area.
• Expertise in genome research, omics technologies, and bioinformatics.
• An interest in independently investigating scientific questions and working in a team.
• Experience in teaching and mentoring students will be advantageous.
• Proficiency in programming languages such as Python, bash, and R.
• Experience with high-performance computing (HPC) and handling big data.
• Fluency in English.

Our offer:

We offer a full-time position as a postdoctoral researcher with the opportunity for further qualification. The position is open for an immediate start, initially limited to two years, with an option for extension. Salary will be based on the Collective Agreement for the Public Service of the Länder (TV-L). The TUM School of Life Sciences is equipped with state-of-the-art facilities and fosters a collaborative and supportive work environment, ensuring the best possible conditions for research and development. TUM strives to increase the proportion of women in its workforce and therefore expressly encourages qualified women to apply. The position is also suitable for disabled persons, with preference given to candidates with equivalent qualifications, abilities, and professional performance. Joining us means becoming part of an international network and working on cutting-edge, high-impact projects in crop genome research. You will have a unique opportunity to contribute to the establishment of the "Computational Plant Biology" group and to shape the future of plant genome research at TUM, all while being supported by a vibrant community of researchers dedicated to innovation and excellence in science

Your application

To apply, please email your application together with a strong CV and supporting documentation as a single PDF to [email protected] no later than February 29. 2024. Do not hesitate to contact Prof. Nadia Kamal for any questions you may have ([email protected]). Applications from all qualified individuals are encouraged. Preference will be given to severely disabled applicants with equal qualifications. As part of your application, you provide personal data to the Technical University of Munich (TUM). Please view our privacy policy on collecting and processing personal data in the course of the application process pursuant to Art. 13 of the General Data Protection Regulation of the European Union (GDPR) at https://portal.mytum.de/kompass/datenschutz/Bewerbung/. By submitting your application you confirm to have read and understood the data protection information provided by TUM.

Find out more about us at www.tum.de.

The position is suitable for disabled persons. Disabled applicants will be given preference in case of generally equivalent suitability, aptitude and professional performance.

Data Protection Information:
When you apply for a position with the Technical University of Munich (TUM), you are submitting personal information. With regard to personal information, please take note of the Datenschutzhinweise gemäß Art. 13 Datenschutz-Grundverordnung (DSGVO) zur Erhebung und Verarbeitung von personenbezogenen Daten im Rahmen Ihrer Bewerbung. (data protection information on collecting and processing personal data contained in your application in accordance with Art. 13 of the General Data Protection Regulation (GDPR)). By submitting your application, you confirm that you have acknowledged the above data protection information of TUM.

Kontakt: [email protected]