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.
This position focuses on research in the field of terrestrial remote sensing applications, with an emphasis on utilizing multi-source and multi-scale Earth Observation (EO) data to develop innovative EO products and methodologies, including the application of machine learning and deep learning techniques in terrestrial studies. A willingness to contribute to the integration of remote sensing variables into climate and land models, which are actively developed within the department, is highly desirable. It is desired to develop new aspects within this research focus, to formulate concrete objectives and to implement them in a structured way.
The ideal candidate will possess extensive expertise in terrestrial remote sensing, with proven experience in planning and executing UAV campaigns and a strong background in remote sensing method development, as demonstrated by a solid publication record.
Teaching responsibilities (4 LVS) include contributing to the development of the Remote Sensing and GIS curriculum, teaching these and related subjects within the department’s MSc and BSc programs, and supervising students. Additionally, the candidate will be expected to lead the Remote Sensing Instrumentation Lab and actively seek third-party funding for research projects. Involvement in certain administrative tasks of the research group is also part of the role.
Your profile
A university degree in a relevant field, plus doctorate.
The ideal candidate will hold a Doctoral Degree in Geography, Remote Sensing, or a closely related field, with a strong record of publications in Remote Sensing data analysis and method development, particularly in land applications. Comprehensive knowledge of geosystems, especially with regard to physical-geographical aspects (climate, vegetation, water, relief, soils) is needed. Essential qualifications include expertise in Remote Sensing techniques, advanced statistical methods, and proficiency in applying Artificial Intelligence (AI) approaches. The candidate must be proficient in at least one programming language (e.g., Python, R, or JavaScript) and demonstrate strong skills in using various geospatial software packages (such as QGIS, ERDAS, ENVI, PIX4D, and Agisoft).
The candidate should have practical experience in UAV data collection and analysis and be capable of conducting fieldwork. Excellent written and spoken English is essential. German language proficiency is an asset, particularly for teaching and administrative responsibilities.
This position requires outstanding interpersonal skills, a high degree of motivation, and excellent organizational abilities. The successful candidate will thrive in both independent work and collaborative environments within an interdisciplinary team.
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 Free and Hanseatic City of Hamburg promotes equal opportunity. As women are currently underrepresented in this job category at the University of 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.
Instructions for applying
Contact
Reference number
Location
Bundesstraße 55
20146 Hamburg
To Google Maps
Application deadline
Use only the online application form to submit your application with the following documents:
- cover letter
- detailed CV with the publication record and contact details of two references
- concept note (max 4 pages) detailing your research plans on this position
- copies of degree certificates
If you experience technical problems, send an email to bewerbungen@uni-hamburg.de.
More information on data protection in selection procedures.
