Thesis in High Performance Model Predictive Control Using Machine Learning
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 GmbH is looking forward to your application!*Job Description*Model predictive control is a promising advanced control method with the potential to improve the efficiency of electric drives.
However, due to the huge online computational burden, its application is often limited to the use of simplified models and short horizons which sacrifices performance.
- During your assignment, we want to investigate how machine learning concepts such as reinforcement learning or deep neural networks can be exploited.
- Last but not least, the developed concepts are to be benchmarked with existing control concepts and can optionally be tested on the test bench.
- Qualifications *Education : * studies in the field of Cybernetics, Engineering, Mathematics, Computer Science or comparable* *Experience and Knowledge : * in Python DL frameworks like Pytorch, Tensorflow, or Jax;
profound knowledge of machine learning and control theory* *Personality and Working Practice : *autonomous, systematic and analytical* *Languages : * good in English*Additional Information Start : *according to prior agreement*Duration : *6 monthsRequirement for this thesis is the enrollment at university.
Please attach your CV, transcript of records, 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?*Felix Berkel (Functional Department)+49 711 811 92301#LI-DNI
Master Thesis on Reinforcement Learning-Based Control Concepts for Permanent Magnet Synchronous Machines
During your assignment, you will develop reinforcement learning-based tracking controller concepts for permanent magnet synchronous machines (PSMs) with offset-free tracking. You will evaluate the developed controller concepts in simulation in comparison to state-of-the-art controllers. MATLAB/Simul...
Internship in Model Predictive Control For Autonomous Vehicles
Model Predictive Control (MPC) is a powerful technique used in autonomous vehicles to optimize their path tracking and trajectory planning. As an intern for our team, you will have the opportunity to work on the development of MPC algorithms for autonomous vehicles, integrating planning and control ...
Master Thesis on Reinforcement Learning-Based Control Concepts for Permanent Magnet Synchronous Machines
Qualifications** *Education:* studies in the field of Cybernetics, Computer Science, Engineering, Mathematics or comparable* *Experience and Knowledge:*inmachine learning and control theory; MATLAB/Simulink and Python, ideally in DL frameworks; knowledge of electrical machines is a plus* *Personalit...
Master Thesis in Reinforcement Learning for Multiple-Embodiment Grasping
Python (including best practices in code structure and packaging); Machine Learning (such as PyTorch, JAX and TensorFlow); physics simulators (such as MuJoCo, Bullet or Isaac Sim); familiarity with high-level graphics libraries such as Open3D is a plus. Master Thesis in Reinforcement Learning for Mu...
Master Thesis in Reinforcement Learning for Multiple-Embodiment Grasping
Python (including best practices in code structure and packaging); Machine Learning (such as PyTorch, JAX and TensorFlow); physics simulators (such as MuJoCo, Bullet or Isaac Sim); familiarity with high-level graphics libraries such as Open3D is a plus. During your Masterthesis, you will design arch...
Praktikum im Bereich Model Predictive Control für autonome Fahrzeuge
Model Predictive Control (MPC) ist eine leistungsstarke Technik, die in autonomen Fahrzeugen zur Optimierung der Bahnverfolgung und Flugbahnplanung eingesetzt wird. Vielfalt und Inklusion sind für uns keine Trends, sondern fest verankert in unserer Unternehmenskultur. Praktikum im Bereich Model Pred...
Master Thesis - Sector Coupling in an Energy System Model
Master studies in the field of studies in the field of Industrial Engineering, Informatics, Electrical Engineering or comparable. In particular, this research aims to investigate the role of sector coupling in the future energy system. During your master thesis, you will model the decarbonisation pa...
Master Thesis - Sector Coupling in an Energy System Model
Qualifications** *Education:*Master studies in the field of studies in the field of Industrial Engineering, Informatics, Electrical Engineering or comparable* *Experience and Knowledge:* an intuition for Energy Economics, knowledge of Operations Research and Mathematical Modelling, coding experience...
Masterand (m/w/d) Physikalische Modellierung eines Schwingungsdämpfers mit Hystereseeffekten in Kombination mit Machine Learning Ansätzen
Vergleich der Ergebnisse mit denen eines reinen Machine Learning Modells. Erweiterung des physikalischen Modells um einen Machine Learning Ansatz. Exklusive Einblicke hinter die KulissenExklusive Einblicke hinter die Kulissen. Bewerberinnen und Bewerber aus dem europäischen Wirtschaftsraum, die sich...
Master Thesis in Reinforcement Learning for Multiple-Embodiment Grasping
Qualifications** *Education: *Master studies in the field of Computer Science, Machine Learning, Artificial Intelligence or comparable* *Experience and Knowledge: *proficientin Python (including best practices in code structure and packaging); Machine Learning (such as PyTorch, JAX and TensorFlow); ...