Master Thesis - Tiny Transformer for Smart Sensors (f/m/div)

Master Thesis – Tiny Transformer for Smart Sensors (f/m/div)

1 day ago Be among the first 25 applicants

#WeAreIn to create tiny chips and big careers. Are you ready to take the first step in your career? Let's shape the future together! Whether you join as a student, intern, or trainee, you'll be part of something real – real projects, real impact, and real opportunities to grow. Are you in?

Your Role

Key responsibilities in your new role

• Tiny Transformer Methods: Systematically review tiny transformer methods for edge devices, compile exemplar models and tool chains (TFLite Micro, CMSIS‑NN), while shortlist architectures suitable for deployment on microcontrollers with embedded NPUs
• Sensing Task Identification: Identify transformer-relevant sensing tasks and select datasets
• Platform Constraints: Characterize platform constraints, such as Flash/RAM budgets, supported quantization schemes, operator support and others
• Transformer Models: Implement and deploy shortlisted transformer models on microcontrollers, including quantization strategy and operator mapping
• Method Evaluation: Evaluate against conventional methods regarding accuracy, latency, energy, and memory footprint. You will also analyze trade‑offs and derive recommendations

Your Profile

Qualifications And Skills To Help You Succeed

• Education: Enrolled in electrical engineering, computer science or similar (Masters)
• Previous experiences: Experience with machine learning principles and algorithms, especially transformer architectures
• Programming skills: Proficiency with Python, embedded systems and C programming
• Machine Learning Ability: Ability to develop and optimize machine learning models for resource‑constrained devices
• Way of working: Self‑motivated and eager to learn new technologies, while being a team player with strong communication skills
• Languages: Proficiency in English. German is a plus

Please attach the following documents to your application:

• CV in English
• Certificate of enrollment at university
• Excerpt of the study regulations for the thesis (if applicable)
• Latest grades transcript (not older than 6 months)
• High school report

Contact

José Azevedo

Further links

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