W3 Professorship – Machine Learning in Agriculture
at Rheinische FriedrichWilhelmsUniversitt Bonn
Bonn, Nordrhein-Westfalen, Germany -
Start Date | Expiry Date | Salary | Posted On | Experience | Skills | Telecommute | Sponsor Visa |
---|---|---|---|---|---|---|---|
Immediate | 30 Nov, 2024 | Not Specified | 25 Oct, 2024 | N/A | Good communication skills | No | No |
Required Visa Status:
Citizen | GC |
US Citizen | Student Visa |
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OPT | H4 Spouse of H1B |
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Employment Type:
Full Time | Part Time |
Permanent | Independent - 1099 |
Contract – W2 | C2H Independent |
C2H W2 | Contract – Corp 2 Corp |
Contract to Hire – Corp 2 Corp |
Description:
Published on: 18.10.2024
The University of Bonn is an international research university with a wide education and research profile. With a 200-year history, approximately 31,500 students, more than 6,000 staff, and an excellent reputation at home and abroad, the University of Bonn is one of the most important universities in Germany and is recognized as a university of excellence.
The Faculty of Agricultural, Nutritional, and Engineering Sciences at the University of Bonn, Germany, invites applications for a full
STARTING DATE:
at the earliest opportunity
Apply now
Job posting (pdf)
Machine learning is an increasingly important method in science. To exploit the full potential of this general method for agriculture, we are looking for a person who can demonstrate relevant, internationally visible scientific work on developing methods or applications of machine learning.
The successful candidate is expected to contribute to the Cluster of Excellence EXC 2070 PhenoRob and help develop future interdisciplinary and transdisciplinary research initiatives of the faculty. Thus, the application of machine learning in the field of agriculture, especially in the context of crop production, is essential for future work but not a prerequisite for this position. A possible field of research could be the fusion of process-based and data-driven models.
Success in acquiring and implementing third-party-funded projects is a prerequisite. In teaching, the subject area is to be represented in both mandatory and elective courses in the B.Sc. and M.Sc. degree programs of the Faculty of Agricultural, Nutritional, and Engineering Sciences.
The formal requirements are regulated by §36 Hochschulgesetz NRW.
Responsibilities:
Please refer the Job description for details
REQUIREMENT SUMMARY
Min:N/AMax:5.0 year(s)
Education Management
Teaching / Education
Software Engineering
Graduate
Proficient
1
Bonn, Germany