Working Student: ADA

vor 2 Wochen


Warstein, Deutschland Infineon Technologies Vollzeit
As a global semiconductor leader in power systems and IoT, we enable game-changing solutions for green and efficient energy, clean and safe mobility, as well as smart and secure IoT. That's why you probably use our products every day: smartphone, charger, electric toothbrush, coffee machine, refrigerator, remote control and much more. We are looking forward to your application Take responsibility: You will develop a foundation model that can be easily customized and fine-tuned for various vision tasks using Infineon's dataset Data is everything: You work on a model which should be capable of accommodating images of different sizes and spatial resolutions, effectively utilizing the spectral information, and outperforming existing models for downstream tasks Expand your horizons: You will deal with Infineon's unique dataset, which differs significantly from standard image datasets Identify needs: You optimize the model to effectively utilize spectral information, potentially drawing inspiration from models like DINOv2, Mask Auto Encoder (MAE), IJEPA Experience research: You investigate multi-stage pretraining techniques to improve model performance Reliable work: You validate the model's performance through ablation studies and comparison with existing foundation models Study field: You are currently studying Data Science, Electrical Engineering, Informatics or a related subject Experience: You are familiar with foundation models, such as Segment Anything and Masked Auto Encoder (MAE). IJEPA, DIN Personality: You have excellent communication and presentation skills as well as strong problem-solving and analytical skills Skills: You are proficient in programming languages, such as Python, deep learning frameworks, such as TensorFlow or PyTorch and in Bash scripting, Linux terminal knowledge to streamline data processing; model training would be advantageous Language skills:  You have good English skills, both written and spoken Please attach the following documents to your application:
CV in English Certificate of enrollment at university Latest grades transcript (not older than 6 months) High school report
Important information:
Working part-time: The focus is on studies. Therefore, working student is possible during the lecture period with a maximum of 20 hours per week. Proper students (according to the German law) are welcome: You must be enrolled and the examination results or modules of your studies must not have been completed yet, so that you can still work in our team for at least 6 months. You must also not be in a semester of leave. You should live close to the site: It is important for us to work with you on site and to integrate you into the team. You should therefore be able to come to the site regularly.

Benefits

Coaching, mentoring networking possibilities Wide range of training offers & planning of career development International assignments Different career paths: Project Management, Technical Ladder, Management & Individual Contributor Flexible working conditions Home office options Part-time work possible (also during parental leave) Sabbatical Holiday child care On-site social counselling and works doctor Health promotion programs On-site canteen Private insurance offers Wage payment in case of sick leave Corporate pension benefits Flexible transition into retirement Performance bonus Accessibility, access for wheelchairs Possibility to work remotely from abroad (EU)
  • Working Student: Ada

    vor 3 Wochen


    Warstein, Deutschland Infineon Technologies Vollzeit

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  • Working Student: ADA

    Vor 6 Tagen


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