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Thesis Role: Transformative Models for Consumer Radar Sensors
vor 3 Monaten
Are you an inquisitive and driven master's student in Computer Science, Electrical Engineering, or Mathematics eager to leverage your expertise in a pioneering domain? If you are passionate about machine learning and committed to keeping abreast of the latest innovations in radar sensor technology, we invite you to explore this opportunity with us.
In this role, you will:
- Engage in Continuous Learning: Conduct thorough literature reviews and remain informed about the latest developments in foundation models and artificial intelligence for radar sensors.
- Innovate for the Future: Design and implement transformer-based models aimed at enhancing radar data processing.
- Broaden Your Expertise: Experiment with diverse methodologies to improve model generalization across various distributional domains.
- Data Analysis Focus: Analyze and preprocess radar sensor data, including essential signal processing tasks.
- Document Your Work: Ensure comprehensive documentation and finalization of your thesis and associated code.
- Academic Background: You should be pursuing a degree in Computer Science, Electrical Engineering, Mathematics, or a related field.
- Practical Experience: Prior hands-on experience in machine learning, particularly with deep learning techniques, is essential. Familiarity with transformers and their applications is a plus.
- Technical Knowledge: A solid grasp of signal processing techniques is required.
- Programming Skills: Proficiency in PyTorch and other relevant programming frameworks is necessary, along with a strong foundation in linear algebra and probability theory.
- Analytical Skills: You should possess strong problem-solving capabilities and the ability to analyze complex datasets.
- Language Proficiency: Excellent command of English, both written and spoken, is essential.
Please include the following documents with your application:
- Curriculum Vitae in English
- Certificate of enrollment from your university
- Excerpt of the study regulations for the thesis (if applicable)
- Latest academic transcript (not older than 6 months)
- High school report
Benefits:
- Coaching, mentoring, and networking opportunities
- A wide array of training programs and career development planning
- International assignment possibilities
- Diverse career paths: Project Management, Technical Ladder, Management & Individual Contributor
- Flexible working arrangements
- Options for remote work
- Part-time work availability (including during parental leave)
- Sabbatical opportunities
- On-site childcare facilities
- Holiday childcare services
- Access to social counseling and occupational health services
- Health promotion initiatives
- On-site fitness facilities and recreational areas
- On-site dining options
- Private insurance offerings
- Salary continuation during illness
- Corporate pension schemes
- Flexible retirement transition options
- Performance bonuses
- Discounted public transport and a dedicated transit station
- Accessibility features for individuals with disabilities
- Remote work options from abroad (within the EU)
