Research Associate for the Project “Fly Low and Stitch” § 28 Subsection 3 HmbHG
Institution: Faculty of Mathematics, Informatics and Natural Sciences, Department of Informatics, Computer Vision Group
Salary level: EGR. 13 TV-L
Start date: 01.01.2027 Pending approval of external funding, fixed until 30.11.2029 (This is a fixed-term contract in accordance with Section 2 of the academic fixed-term labor contract act [Wissenschaftszeitvertragsgesetz, WissZeitVG]).
Application deadline: 2026-11-13
Scope of work: full-time position suitable for part-time
Your responsibilities
Duties include academic services in the project named above. Research associates may also pursue further academic qualifications outside of their work responsibilities. They may also pursue doctoral studies outside of working duties.
The candidate will work in the Computer Vision group within the project „Fly Low and Stitch: drone-based image generation for inventory management, process monitoring, and crisis management in ports. Subproject: route planning, algorithmic generation of georeferenced aerial maps, application-specific image analysis”
The project continues the work from our InteGreatDrones project (https://integreatdrones.de/).
It includes research and development in the following fields:
- computer vision, especially object detection, segmentation, OCR
- robot vision, especially drone-based route planning and generation of aerial port maps
The position includes the co-supervision of students. It is possible to contribute to teaching within the department.
Your profile
A university degree in a relevant field.
A university degree e.g. in computer science, engineering, mathematics, etc.. Good programming skills, preferably in Python. Knowledge of computer vision/image processing and machine learning, especially deep learning. Experience in one of the above-mentioned topics is an advantage.
Fluent English, spoken and written, and good communication skills are mandatory. Knowledge of German should be good enough to understand spoken and written communication in German within the project. Experience with publishing scientific papers is an advantage.
We offer
Universität Hamburg—University of Excellence is one of the strongest research educational institutions in Germany. Our work in research, teaching, educational and knowledge exchange activities is fostering the next generation of responsible global citizens ready to tackle the global challenges facing us. Our guiding principle “Innovating and Cooperating for a Sustainable Future in a digital age” drives collaboration with academic and nonacademic partner institutions in the Hamburg Metropolitan Region and around the world. We would like to invite you to be part of our community to work with us in creating sustainable and digital change for a dynamic and pluralist society.
The University of Hamburg is committed to equity. Diversity enriches our university life, whether in our studies, research, teaching, education, or workplace. We therefore welcome all applications, regardless of gender, gender identity, sexual orientation, ethnic or social background, age, religion or belief, disability, or chronic illness.
The University of Hamburg strives to increase the number of women in academia, and encourages qualified female academics to apply.Severely disabled and disabled applicants with the same status will receive preference over equally qualified non-disabled applicants.
Notice regarding the background check under Section 34a of the Hamburg security clearance act (Gesetz zur Regelung der Sicherheitsüberprüfungen, HmbSÜG): On behalf of the person chosen in the selection procedure, this office submits an inquiry to the state office for the protection of the constitution (Landesamt für Verfassungsschutz) regarding any available findings/information which meet the statutory requirements (background check and data protection information).
Instructions for applying
Contact |
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Kerstin Diop-Nickel |
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Location
Reference number
Application deadline
Use only the online application form to submit your application with the following documents:
- cover letter
- CV
- copies of degree certificate(s)
If you experience technical problems, send an email to bewerbungen@uni-hamburg.de.
More information on data protection in selection procedures.
