Job
- Level
- Erfahren
- Ort
- Rostock
- Arbeitsmodell
- Onsite
- Job Feld
- Data
- Anstellung
- Vollzeit
- Vertragsart
- Befristetes Dienstverhältnis
Job Zusammenfassung
In dieser Position entwickelst du selbstständig Softwareprototypen für maschinelles Lernen in der Erdbeobachtung und führst reproduzierbare Experimente durch, um wissenschaftliche Ergebnisse für Konferenzen zu veröffentlichen.
Job Technologien
Deine Rolle im 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.
- Documenting and making research code available within the scope of available rights.
- Collaborating with academic partners and exchanging ideas on methodological and application-oriented research questions.
- 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.
Unsere Erwartungen an dich
Ausbildung
- 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.
Qualifikationen
- Interest in methodological ML research and in collaborating with researchers from other disciplines.
- Very good written and spoken English skills for scientific publications and international exchange.
- 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.
Erfahrung
- 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.
Unser Angebot
- 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.
Benefits
Gesundheit, Fitness & Fun
Work-Life-Integration
Mehr Netto
Themen mit denen du dich im Job beschäftigst
Job Standorte
Das ist dein Arbeitgeber
Universität Rostock
Die Universität zählt 15.000 Sudierende und 5.000 Mitarbeiter in neun Fakultäten sowie einer zentralen wissenschaftlichen Einrichtung - der Interdisziplinären Fakultät. Sie wurde 1419 gegründet und ist damit die drittälteste deutsche Universität sowie die älteste Universität im Ostseeraum.
Description
- Unternehmensgröße
- 250+ Employees
- Gründungsjahr
- 1419
- Unternehmenstyp
- Etablierte Firma
- Arbeitsmodell
- Hybrid, Onsite
- Branche
- Bildungswesen
Research Assistant - Machine Learning for Earth Observation
- Ort
- Rostock
- Arbeitsmodell
- Onsite
- Diversität
- Für alle Personen geeignet (m/w/d)
