项目介绍

2025年5月15日

The position contains both teaching duties and participation in research projects. The research project topics focus on improving object recognition through computer vision in dusty conditions by incorporating hyperspectral cameras. In addition, assisting in project applications and general development duties of the Chair. The position is available from 01.12.2025.

About us
The Chair of Agrimechatronics (Prof. Oksanen) studies especially Intelligent Machines for Agriculture. The research themes include topics like tractors and other agricultural vehicles and robots, tractor-implement automation, communication technologies for vehicles, navigation, guidance and planning, positioning systems, model-based control of mechatronic systems, drives and power systems, and robotic implements.

We offer
As a part of our international team in the northern Munich area, you will have an excellent opportunity to develop yourself as a team player as well as an independent researcher. Our work is interdisciplinary, international, and in-depth, but also practical. We offer the possibility to obtain broad and profound expertise, both theory and practice, in the field of agricultural applications, technology, and research.

Compensation
The position will be paid in accordance with the Collective Agreement for the Civil Service of the Lands (TV-L).
Your qualifications
• A Master’s level university degree in engineering (e.g. Computer Science), completed with above-average results
• Good skills (both theory and practice) in one or several of the following topics:
Computer Vision, Machine Learning, Hyperspectral Cameras
• Professional proficiency in written and spoken English

Application process
Send your application in English by email to amx@wzw.tum.de with the title “Research Assistant application” at the latest 01.07.2025, including
• A cover letter (for example, elaborating your background, interests, and motivation)
• Curriculum Vitae (CV) in English
• PDF copies of earned university degrees and transcripts of individual grades
• PDF copy of your Master’s thesis or a seminar paper

Die Stelle ist für die Besetzung mit schwerbehinderten Menschen geeignet. Schwerbehinderte Bewerberinnen und Bewerber werden bei ansonsten im wesentlichen gleicher Eignung, Befähigung und fachlicher Leistung bevorzugt eingestellt.

Hinweis zum Datenschutz:
Im Rahmen Ihrer Bewerbung um eine Stelle an der Technischen Universität München (TUM) übermitteln Sie personenbezogene Daten. Beachten Sie bitte hierzu unsere Datenschutzhinweise gemäß Art. 13 Datenschutz-Grundverordnung (DSGVO) zur Erhebung und Verarbeitung von personenbezogenen Daten im Rahmen Ihrer Bewerbung. Durch die Übermittlung Ihrer Bewerbung bestätigen Sie, dass Sie die Datenschutzhinweise der TUM zur Kenntnis genommen haben.