Research Associate

InstitutionFaculty of Mathematics, Informatics and Natural Sciences, Department of Informatics, Computer Vision group

Salary levelEGR. 13 TV-L

Start date , 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

Scope of workfull-time position suitable for part-time

Your responsibilities

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 do research on state-of-the-art questions in Computer Vision with Machine Learning methods, especially Deep Learning Models. We are looking for someone to continue our current research in the field of sign language recognition and extend it to topics such as gesture and action recognition or human behavior recognition. 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/week in the computer science department.

Your profile

A university degree in a relevant field, plus doctorate.

Doctorate e.g., in computer science, engineering, mathematics, etc. Knowledge of computer vision/image processing and machine learning, especially deep learning. Knowledge of action recognition or sign language recognition is helpful, as well as knowledge of attention modeling. Good programming skills, preferably in Python. 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 and should be able to work self-organized.

We offer

• Reliable remuneration based on wage agreements
• Continuing education opportunities
• University pensions
• Attractive location
• Flexible working hours
• Work-life balance opportunities
• Health management, EGYM Wellpass
• Educational leave
• 30 days of vacation per annum

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.

Instructions for applying

Contact

Prof. Dr. Simone Frintrop

simone.-

Kerstin Diop-Nickel

Reference number

386

Location

Bundesstr. 56 b

20146 Hamburg

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 -