Research Associate (Postdoc) § 28 Subsection 2 HmbHG
Institution: Faculty of Mathematics, Informatics and Natural Sciences, Department of Informatics, Computer Vision Group
Salary level: EGR. 13 TV-L
Start date: as soon as possible, fixed for a period of three years (This is a fixed-term contract in accordance with Section 2 of the academic fixed-term labor contract act [Wissenschaftszeitvertragsgesetz, WissZeitVG]).The contract provides for a maximum extension of up to three years depending on the associate’s achievements during the first stage. Providing that a position is available and that requirements have been fulfilled, the associate may apply for temporary civil servant status in accordance with Section 28 subsection 2 HmbHG.
Application deadline: 20.09.2021
Scope of work: full-time position suitable for part-time
Duties include teaching and research in the respective department or institute. Research associates may also pursue independent research and further academic qualifications as well as acquire teaching experience. These duties are intended to promote academic achievement. Therefore, at least one-third of set working hours will be made available for the associate’s own academic work.
The candidate will work in the Computer Vision group and will do research on exciting state-of-the-art questions in Computer Vision. The focus of the group is on cognitive approaches which are inspired by the human visual system, and we cooperate with groups in psychology and neurobiology. Furthermore, we are interested in mobile vision systems, meaning that we develop algorithms that shall run on mobile vision devices such as autonomous robots or head-mounted camera systems.
Possible research topics include, but are not limited to, visual attention modeling (e.g., eye fixation prediction, salient object detection, top-down attention), human behavior recognition (e.g., action, emotion, personality recognition), or segmentation (semantic segmentation, instance segmentation, object discovery).
The position includes the joint supervision of PhD and master students, the participation in research projects of the group, and the responsibility to teach 4 hours per week in the computer science department.
A university degree in a relevant subject plus doctorate 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. Knowledge of robotics, VR, or psychology is helpful. Fluent English, spoken and written, and good communication skills are mandatory. Knowledge of German is helpful but not mandatory. Furthermore, the candidate should have a very good publication record at well-known conferences/journals (at least one first-author paper at CVPR, ICCV, ECCV, NeurIPS, PAMI or IJCV), and they should be able to work self-organized.
- Reliable remuneration based on wage agreements
- Continuing education opportunities
- University pensions
- Attractive location
- Flexible working hours
- Work-life balance opportunities
- Public transport pass (ProfiTicket) and much more
- Health management
- Educational leave
- 30 days of vacation per annum
As a University of Excellence, Universität Hamburg is one of the strongest research universities in Germany. As a flagship university in the greater Hamburg region, it nurtures innovative, cooperative contacts to partners within and outside academia. It also provides and promotes sustainable education, knowledge, and knowledge exchange locally, nationally, and internationally.
The Free and Hanseatic City of Hamburg promotes equal opportunity. As women are currently underrepresented in this job category at Universität Hamburg according to the evaluation conducted under the Hamburg act on gender equality (Hamburgisches Gleichstellungsgesetz, HambGleiG), we encourage women to apply for this position. Equally qualified and suitable female applicants will receive preference.
Severely disabled and disabled applicants with the same status will receive preference over equally qualified non-disabled applicants.
Tips on applying
Prof. Dr. Simone Frintrop
Reference number 301
Application deadline 20.09.2021
Applications should include a cover letter, a tabular curriculum vitae, and copies of degree certificate(s). Please send applications by email to: kerstin.diop(at)uni-hamburg.de
Please send the application in a single PDF document. Subject of email should start with “APPLICATION”.
More information on data protection (https://www.uni-hamburg.de/en/stellenangebote/datenschutz.html) in selection procedure.
Die Ausschreibung ist auch im Internet unter https://www.uni-hamburg.de/stellenangebote/ausschreibung.html?jobID=a7e9334b838e894b4887373ccd97e2c891c6dd2b abrufbar.