The Image Analysis research group is engaged in the development of algorithms and software tools for the quantitative characterization (phenotyping) of morphological, physiological and growth-relevant plant traits from multimodal and multidimensional images, including image data from high-throughput greenhouse and field phenotyping, microscopic, tomographic and 3D imaging.

Your tasks:

• You use algorithms for image analysis by software tools.
• The manual and semi-automated detection of plant structures (leaves, ears, roots, etc.) is also part of your work.
• You document and archive the image data.
• You prepare the image data for further scientific processing.

Your qualifications and skills:

• You have completed vocational training as IT specialist or a related professional or university degree (BSc.)
• You are very familiar with using the PC.
• You are familiar with the basics of image processing.
• You have basic knowledge of plant biology.

You fit to us:

• if you are interested in working with computers and images.
• if you work carefully and precisely.
• if you pay attention to small details.
• If you like to work in a team.

We offer you:

• a welcoming work environment with a wide range of personal and professional development opportunities
• support from and collaboration with colleagues
• a modern computer environment
• a full-time position with 40 hours per week limited until 31.12.2024 as part of a parental leave replacement
• a start on 01.09.2024
• remuneration according to TV-L up to E9b

If you need further information feel free to contact Dr. Evgeny Gladilin Tel. 039482 5157 also directly.

What you need to know:

For us, your qualifications and strengths count. Therefore, everyone is welcome – independent of gender, origin, age, or disability. Our institute has been certified for Career and Family (“berufundfamilie”), and we offer family-friendly working conditions and flexible working hours. The IPK has set a goal to employ more people with disabilities. Qualified applicants with a disability will be given preference.

Your application:

We are looking forward to receiving your online-application (http://www.ipk-gatersleben.de/en/job-offers/) by 09.08.2024. If you have questions or require more information, please contact Kerstin Schweigert (jobs[at]ipk-gatersleben.de). Please indicate the reference number 49/07/24 in your correspondence.