BACHELOR OR MASTER THESIS ON MACHINE LEARNING IN THE FIELD OF AUTONOMOUS FLYING IN INGOLSTADT

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• CAREER
• INSTITUTES AND RESEARCH UNITS
• JOB OVERVIEW

ENG / GER Deutsch (Deutschland) English (United States) MY PROFILE / LOGIN

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Select how often (in days) to receive an alert: numerous tasks at once, such as object detection, scene parsing, depth estimation for autonomous flying transfer learning / knowledge distillation: Investigating strategies for enhancing model efficiency by transferring the knowledge gained from large models to smaller models that can be deployed under real-world constraints panoptic segmentation: Fine tuning models for 2D / 3D panoptic segmentation based on camera images / point cloud for autonomous flying What you will do conduct literature study to identify research gaps and possibilities in the chosen research topic(s) design and implement algorithms, conduct tests, and gather data validate and refine research with team members and external partners What you bring to the table

enrolled in a Masters or Bachelors program in computer science, electrical engineering, physics, computer science, mathematics, mechanical engineering or related fields prior research experience or coursework in machine learning, computer vision or robotics highly desirable proficiency in programming languages such as Python and experience with deep learning frameworks (e. g., PyTorch) passion for research and problem-solving excellent communication skills and ability to work collaboratively in a team What you can expect opportunity to work in the field of machine learning and neural networks access to state-of-the-art computational resources and modern infrastructure valuable research experience and exposure to real-world practical projects

flexible working hours.

potential for co-authorship on research papers and conference presentations Fraunhofer is Europes largest application-oriented research organization. Our research efforts

are geared entirely to peoples needs: health, security, communication, energy and the environment.

We are creative. We shape technology. We design products. We improve methods and techniques.

We open up new vistas.

At its three locations Dresden, Ingolstadt and Berlin, Fraunhofer IVIs researchers develop technologies

and concepts in the fields of mobility, energy and security from forward-looking research to practical application.

The institute cooperates closely with TU Dresden, TU Bergakademie Freiberg and TH Ingolstadt.

We value and promote the diversity of our employees' skills and therefore welcome all applications - regardless of age, gender, nationality, ethnic and social origin, religion, ideology, disability, sexual orientation and identity. Severely disabled persons are given preference in the event of equal suitability.

With its focus on developing key technologies that are vital for the future and enabling the commercial utilization of this work by business and industry, Fraunhofer plays a central role in the innovation process. As a pioneer and catalyst for groundbreaking developments and scientific excellence, Fraunhofer helps shape society now and in the future.

Interested? Apply online now. We look forward to getting to know you!

Requisition Number: IVI-Hiwi-00715 Application Deadline: Job Segment: Computer Science, Electrical Engineering, Mechanical Engineer, Physics, Technology, Research, Engineering, Science Required Cookies

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