Master Thesis Neural Networks for MultiTask Learning and Mixture of Experts
Location
Magstadt | Germany
Job description
Company Description
At Bosch, we shape the future by inventing high-quality technologies and services that spark enthusiasm and enrich people’s lives. Our promise to our associates is rock-solid: we grow together, we enjoy our work, and we inspire each other. Join in and feel the difference.
The Robert Bosch GmbHis looking forward to your application!
Job Description
The research team at the Bosch Center for Artificial Intelligence (BCAI) provides the opportunity for students in machine learning, computer vision, or a related field to complete their Master’s thesis with us. At BCAI we build the foundation to generate real-world impact through cutting-edge research focusing on safe, robust, data-efficient, and explainable AI. We design and implement AI for smart, connected, and autonomous technologies across Bosch business sectors.
- During your time at Bosch, you will get the chance to develop and implement novel algorithms, and evaluate them on multi-modal open and Bosch datasets. Together with BCAI researchers you will perform original research, theoretical investigations, and aim to publish at top ML conferences. The goal is to define the topic that fits within the scope of a Master's thesis.
- Possible research areas include foundation models for computer vision like investigating and adapting dynamic routing networks and mixture of experts for hardware-efficient neural networks for embedded applications.
- Investigating network design principles in multi-task learning and the implementation of novel approaches and neural network architectures could also be part of your research.
Qualifications
- Education: Master studies in Computer Science, Mathematics, Physics or a comparable technical field with good grades
- Experience and Knowledge: research experience in the fields of machine learning, deep learning, natural language understanding, robotics or computer vision from previous internships, work, personal projects, and/or lab work; ideally good publication record, at least one publication at tier-1 conferences in the field of machine learning, robotics, natural language processing or computer vision (e.g. NeurIPS, ICML, ACL, CVPR, ICLR, etc.) as well as excellent and proven programming skills, particularly in Python and PyTorch/TensorFlow
- Qualification: strong recommendation from a research supervisor
- Personality and Working Practice: hardworking team player with a track record of previous research publications
- Languages: very good English
Additional Information
Start: according to prior agreement
Duration: 6 months
Requirement for this thesis is the enrollment at university. Please attach your CV, transcript of records, recommendations, publications, examination regulations and if indicated a valid work and residence permit.
Diversity and inclusion are not just trends for us but are firmly anchored in our corporate culture. Therefore, we welcome all applications, regardless of gender, age, disability, religion, ethnic origin or sexual identity.
Need further information about the job?
Lukas Schott (Functional Department)
+49 152 54529 9424
#LI-DNI
Summary
- Type: Full-time
- Function: Research
Job tags
Salary
