Student Position: Advanced Data Analysis
vor 1 Monat
Company Overview: Infineon Technologies is a leading global player in the semiconductor industry, specializing in power systems and IoT solutions that contribute to sustainable energy, efficient mobility, and secure IoT applications.
Position Summary: We are seeking a dedicated working student to engage in the development of a customizable foundation model tailored for various vision tasks utilizing Infineon's proprietary dataset.
- Key Responsibilities:
- Develop a foundation model that is adaptable and can be fine-tuned for diverse vision applications.
- Work on a model that accommodates images of varying sizes and resolutions, effectively leveraging spectral information to surpass existing models.
- Engage with Infineon's unique dataset, which presents distinct characteristics compared to conventional image datasets.
- Optimize the model to utilize spectral information efficiently, potentially drawing inspiration from advanced models such as DINOv2 and Mask Auto Encoder (MAE).
- Explore multi-stage pretraining techniques to enhance model performance.
- Conduct validation of the model's performance through ablation studies and comparisons with existing foundation models.
Qualifications:
- Currently enrolled in a degree program in Data Science, Electrical Engineering, Informatics, or a related field.
- Familiarity with foundation models, including Segment Anything and Masked Auto Encoder (MAE).
- Strong communication and presentation skills, along with excellent problem-solving and analytical abilities.
- Proficiency in programming languages such as Python, and experience with deep learning frameworks like TensorFlow or PyTorch, as well as Bash scripting and Linux terminal for data processing.
- Good command of English, both written and spoken.
Important Information:
- This is a part-time position, allowing for a maximum of 20 hours of work per week during the academic term.
- Students must be actively enrolled and not have completed their examination results or modules, ensuring a minimum commitment of 6 months.
- Regular on-site presence is essential for effective team integration.
Benefits:
- Coaching and mentoring opportunities.
- Access to a wide range of training programs and career development planning.
- International assignment possibilities.
- Flexible working conditions, including options for remote work.
- Part-time work arrangements available, even during parental leave.
- Additional benefits such as health promotion programs, on-site canteen, and corporate pension plans.
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