Faculty IV - Institute of Computer Engineering and Microelectronics / Remote Sensing Image Analysis
Research Assistant - salary grade 14 TV-L Berliner Hochschulen - For qualification
part-time employment may be possible
Tasks
The Remote Sensing Image Analysis group (rsim.berlin) in the context of BIFOLD (www.bifold.berlin) conducts basic and applied research in data management and machine learning for Earth observation (EO). Currently, we are seeking to hire a Research Associate (Postdoctoral Researcher) in one or more of the following areas:
(1) privacy-preserving analysis of EO Data
(2) continual learning for large-scale EO data analysis
(3) heterogeneous multi-source EO data analysis
(4) uncertainty-aware analysis of large-scale EO data. Besides conducting research
The Research Associate will have teaching duties, which includes mentoring Bachelor’s, Master’s and PhD students in addition to the coordination of interdisciplinary research projects.
(1) privacy-preserving analysis of EO Data
(2) continual learning for large-scale EO data analysis
(3) heterogeneous multi-source EO data analysis
(4) uncertainty-aware analysis of large-scale EO data. Besides conducting research
The Research Associate will have teaching duties, which includes mentoring Bachelor’s, Master’s and PhD students in addition to the coordination of interdisciplinary research projects.
Requirements
- Successfully completed university degree (Master, Diplom or equivalent) and PhD with a focus on data management, scalable data analysis, machine learning.
- Scientific experience (as demonstrated via relevant scientific publications and solid knowledge in theoretical and applied/practical computer science).
- Very good knowledge of English is required; the ability to teach, both in German and in English, is a prerequisite
- Experience in open-source development, project management, and knowledge of the German language are desirable.
How to apply
Please send your written application with the usual documents (in particular CV and scans of university certificates) to the Technische Universität Berlin - Die Präsidentin - Fakultät IV, Institut für Technische Informatik und Mikroelektronik, FG Remote Sensing Image Analysis, Frau Prof. Dr. Begüm Demir, Sekr. EN 5, Einsteinufer 17, 10587 Berlin or by email to jobs@rsim.tu-berlin.de.
For reasons of cost, application documents will not be returned. Please submit copies only.
By submitting your application via email you consent to having your data electronically processed and saved. Please note that we do not provide a guarantee for the protection of your personal data when submitted as unprotected file. Please find our data protection notice acc. DSGVO (General Data Protection Regulation) at the TU staff department homepage: https://www.abt2-t.tu-berlin.de/menue/themen_a_z/datenschutzerklaerung/ or quick access 214041.
To ensure equal opportunities between women and men, applications by women with the required qualifications are explicitly desired. Qualified individuals with disabilities will be favored. The TU Berlin values the diversity of its members and is committed to the goals of equal opportunities.
For reasons of cost, application documents will not be returned. Please submit copies only.
By submitting your application via email you consent to having your data electronically processed and saved. Please note that we do not provide a guarantee for the protection of your personal data when submitted as unprotected file. Please find our data protection notice acc. DSGVO (General Data Protection Regulation) at the TU staff department homepage: https://www.abt2-t.tu-berlin.de/menue/themen_a_z/datenschutzerklaerung/ or quick access 214041.
To ensure equal opportunities between women and men, applications by women with the required qualifications are explicitly desired. Qualified individuals with disabilities will be favored. The TU Berlin values the diversity of its members and is committed to the goals of equal opportunities.
Facts
| Published | 07.08.2023 |
|---|---|
| Number of employees | ca. 8300 |
| Category TU Berlin | PostDoc |
| Start date (earliest) | Earliest possible |
| Duration | for 4 years |
| Full/Part-time | full-time; part-time employment may be possible |
| Salary | Salary grade E14 |
Requirements
| Type of degree | Master, Diplom or equivalent and PhD |
|---|---|
| Language skills |
|
Contact
| Reference | IV-111/23 |
|---|---|
| Contact person | Prof. Dr. Demir |
Apply
| Application deadline | 09.10.2023 |
|---|---|
| Reference | IV-111/23 |
| Application documents | Cover letter, curriculum vitae, references |
| by post | Technische Universität Berlin
|
| by email | jobs@rsim.tu-berlin.de |