Job
- Level
- Experienced
- Location
- Rostock
- Working Model
- Onsite
- Job Field
- Data
- Employment Type
- Full Time
- Contract Type
- Temporary employment
Job Summary
In this role, you independently develop software prototypes for machine learning in earth observation and conduct reproducible experiments to publish scientific results at international conferences.
Job Technologies
Your role in the team
- Independently conducting a machine learning research project under academic supervision with the goal of earning a Ph.D.
- Developing software prototypes and reproducible experiments; comparing and evaluating models across independent regions and events.
- Authoring and presenting scientific publications, with the aim of publishing research results at leading international conferences in machine learning and computer vision.
- Dokumentation und Bereitstellung von Forschungs-Code im Rahmen der verfügbaren Rechte.
- Zusammenarbeit mit akademischen Partnern und Austausch von Ideen zu methodischen und anwendungsorientierten Forschungsfragen.
- Contributing to teaching (e.g., in seminars) and supervising student projects within the scope of one's own subject-matter expertise.
- Developing and writing a dissertation.
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Our expectations of you
Education
- Completed academic degree (Master's, Diplom, or equivalent) in computer science, mathematics, physics, electrical engineering, geoinformatics, or a related field, with at least a 'good' grade.
Qualifications
- Interest in methodological ML research and in collaborating with researchers from other disciplines.
- Sehr gute schriftliche und mündliche Englischkenntnisse für wissenschaftliche Veröffentlichungen und internationalen Austausch.
- The following are desirable:
- Knowledge of the German language or a willingness to learn it.
- Willingness to work seriously and with dedication on a project aimed at advancing one's own academic qualifications.
Experience
- Solid foundation in machine learning and strong programming skills, preferably in Python; practical experience with a common deep learning framework.
- Prior knowledge of remote sensing or experience from relevant courses, research projects, or practical projects.
- Experience with geodata, graph learning, probabilistic modeling, or environmental applications.
- Publication experience.
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What we offer
- The temporal limitation of the employment relationship is based on § 2 (1) Wissenschaftszeitvertragsgesetz.
- We will determine the experience level individually, taking into account your previous professional experience.
- If you would like to work part-time in this position, this is possible subject to the requirements of the position.
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Benefits
Health, Fitness & Fun
Work-Life-Integration
Higher Take-Home Pay
Topics You Will Work On
Job Locations
About Your Employer
Universität Rostock
The university is a renowned institution with more than 15,000 students and 5,000 employees in nine faculties and one central scientific institution - the interdisciplinary faculty. It was founded in 1419, making it the third oldest German university and the oldest university in the Baltic Sea region.
Description
- Company Size
- 250+ Employees
- Founding Year
- 1419
- Company Type
- Established Company
- Working Model
- Hybrid, Onsite
- Industry
- Education System
Research Assistant - Machine Learning for Earth Observation
- Location
- Rostock
- Working Model
- Onsite
- Diversity
- Open for all genders
