Student Assistant (B.Sc.) – Development of algorithms for plant recognition (m/f/d)


The Laser Zentrum Hannover e.V. (LZH) is a leading institute in the field of applied laser research. Approximately 250 employees carry out basic and applied research and develop solutions for industry. The Food and Farming Group of our Industrial and Biomedical Optics Department invites applications for a

Student Assistant (B.Sc.) – Development of algorithms for plant recognition (m/f/d)
Field of study: computer science, engineering, physics
(Job-ID: 71901)

You will work in the field of robotics, from laboratory and functional models to demonstrators and prototypes for various applications. Your field of activity focuses on the development and implementation of automated control of image acquisition and the laser process and includes the areas of machine learning, acquisition and processing of data (image data, motion data) and system communication. Additionally, you will support the team with related tasks in terms of prototype setup and testing.

The Department of Industrial and Biomedical Optics at LZH research applications of laser and optical technologies in the field of biomedical engineering and food production in interdisciplinary projects. A section of our department is dedicated to the automated control and monitoring of laser processes for weed management, exemplified by laser-based weed treatment to foster sustainable herbicide alternatives. We employ machine learning techniques for weed identification. Our team's endeavors encompass the entire spectrum from design and development to constructing experimental prototypes and conducting real-world testing under environmental conditions.

Main tasks:

  • Collaborate with our research team to develop and improve models for object detection of plants.
  • Research existing object detection models and develop/adapt new models.
  • Transfer evaluated models on hardware platforms for field testing.
  • Assist in data collection, preparation, and annotation for AI model training.
  • Implement and optimize algorithms and software tools for image analysis and computer vision.
  • Support the team with any related tasks in terms of prototype setup and testing.

Working environment:

Working at LZH offers you an extraordinary environment and the best conditions. We offer you:

  • Working in a science-related environment with good connections to industrial partners.
  • An interdisciplinary team consisting of physicists, engineers and biologists.
  • work in the office and remotely is possible (hybrid).

Job requirements:

  • Enrolled student in the field of Computer Science, Engineering, Physics or a related field.
  • Strong interest in artificial intelligence, computer vision, and image analysis.
  • Highly motivated, detail-oriented, and capable of working both independently and as part of a team.
  • Basic understanding of robotics and control systems as well as embedded systems.
  • Experience with Python; C++ and Linux would be a plus.
  • Communication in German or English.

Severely disabled applicants with equal qualification will be given particular consideration.

The LZH emphasizes gender equality.

Please send your application stating the Job-ID 71901 to:
Laser Zentrum Hannover e.V.
Meik Seedorf
Hollerithallee 8
30419 Hannover
Tel.: +49 (0)511-2788-373

Note on data protection in applications and in the application process
The LZH collects and processes the personal data of applicants for the purpose of processing the application process. The processing can also be done electronically. This is especially the case if an applicant submits the corresponding application documents by electronic means, for example by e-mail.

If the LZH concludes a contract of employment with an applicant, the transmitted data will be stored for the purpose of executing the employment relationship in compliance with the statutory provisions. If no contract of employment with the applicant is concluded by the LZH, the application documents will be deleted six months after the announcement of the rejection decision, provided that deletion does not conflict with any other legitimate interests of the LZH. Other legitimate interest in this sense, for example, a burden of proof in a procedure under the General Equal Treatment Act (AGG).

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