Matthias Erb
Just Landed
2 days ago
Postdoc in Digital Plant Phenotyping and Computational Biology University of Bern in Switzerland
Degree Level
Postdoc
Field of study
Computer Science
Funding
80-100% postdoctoral appointment until 31 December 2028. Salary according to University of Bern regulations. The post includes access to plant growth facilities, support from computer vision and data analysis specialists, and scientific mentoring; no stipend amount is stated.
Country
Switzerland
University
University of Bern

How do I apply for this?
Sign in for free to reveal details, requirements, and source links.
Apply for this position
Keywords
Suggested positions
About this position
Postdoc in Digital Plant Phenotyping at the University of Bern, Switzerland. The Institute of Plant Sciences, Research Section Biotic Interactions, is recruiting for an 80–100% postdoctoral position in the Plant 3D Reconstruction project.
The project combines plant science, computational biology, computer vision, chemical ecology, and statistics. You will work with the Biotic Interactions Group (Prof. Matthias Erb) and the Computer Vision Group (Prof. Paolo Favaro) to grow plants, collect images, measure plant traits, and develop/test models that estimate traits from 3D plant models generated from smartphone videos. The research also integrates volatile dynamics to study links between plant architecture and chemical signalling.
This is a hands-on and interdisciplinary postdoc with an equal split between plant experiments and computational analysis. The role includes access to plant growth facilities, support from specialists in computer vision and data science, mentoring, and opportunities to contribute to scientific publications and lead papers.
Eligibility highlights: a completed PhD in plant sciences, biology, or a related field by the start date; experience with controlled plant experiments and trait measurements; strong experimental design, data management, and statistical analysis skills; interest in computational methods and 3D modelling; and clear English communication.
How to apply: submit one PDF containing your CV, a short motivation letter, your three main achievements, and contact details for two academic references. In the letter, describe your plant science experience and your interest in computational biology and this project. The application file must be under 10 MB.
Deadline: open until filled. Start date by agreement. Appointment ends on 31 December 2028.
Funding details
80-100% postdoctoral appointment until 31 December 2028. Salary according to University of Bern regulations. The post includes access to plant growth facilities, support from computer vision and data analysis specialists, and scientific mentoring; no stipend amount is stated.
What's required
A completed PhD in plant sciences, biology or a related field by the start date; a research background in plant science; experience growing plants, running controlled experiments and measuring plant traits; skills in experimental design, data management and statistical analysis; interest in computational biology and willingness to learn methods for estimating plant traits from 3D models; evidence of original scientific work; clear writing and communication in English; ability to organize work, work independently, and collaborate across disciplines.
How to apply
Prepare one PDF with your CV, a short motivation letter, your three main achievements, and contact details for two academic references. In the letter, explain your plant science experience and your interest in computational biology and this project. Submit the PDF through the application portal; the file must be under 10 MB.
More information can be found here
Ask ApplyKite AI
Professors

How do I apply for this?
Sign in for free to reveal details, requirements, and source links.