Master Thesis in Deep Reinforced Cognitive Sensing for Enhanced Automotive Radar Perception
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*Cognitive sensing describes the idea of a sensor system actively engaging with its surroundings in a favorable manner.
This research aims to address the challenges in Automotive Radars of detecting weak targets and vulnerable road users at long distances and in variable complex environments, overcoming the limitations of current static sensor modulations.
- During your master thesis, you will analyze and implement a reinforced cognitive model for radar, allowing for the adaptation of the sensor modulation based on the measured environment to enhance radar perception.
- You will extend the existing radar simulation to establish a closed-loop pipeline for online reinforcement learning.* Finally, you will train a reinforcement learning agent optimizing sensor modulation parameters under different conditions and driving scenarios.
- The results are to be evaluated and benchmarked against baseline methods in different use cases.*Qualifications *Education : * master studies in the field of Electrical Engineering, Simulation, Cybernetics or comparable* *Experience and Knowledge : * profound knowledge of machine learning and radar technologies;
coding experience in Python and deep learning frameworks, ideally PyTorch* *Personality and Working Practice : *a communicative and analytical person, who is able to work independently and systematically* *Languages : * good in English, German is a plus*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?*Marius Schwarz (Functional Department)+49 173 5765310Sherif Abdulatif (Functional Department)+49 711 811 14364#LI-DNI
Master Thesis (d/f/m) in the field of Cabin Accessibility - Inklusiver Job 🦼 🦻 🦯
You are looking for a master thesis and want to get to know the work of a job title? Then apply now! We look forward to you supporting us in the Cabin and Cargo Innovation department as a Master Thesis Student (d/f/m)!. By submitting your CV or application you are consenting to Airbus using and stor...
Student for Bachelor or Master Thesis / Working Student / Internship Software Engineering (m/f/d)
Student of one of the following disciplines (or similar): Computer Science, Technical Computer Science, Information Technology, Electrical Engineering, Communication Systems, Data Science & Artificial Intelligence, Business Information Technology, Media Engineering, Microelectronic Systems. Improvin...
Thesis in Controllable High-Definition Map Generation for Traffic Scenario Simulation
Python and deep learning frameworks (PyTorch); experience in autonomous driving research, with diffusion models and using pretrained model repositories (e. Thesis in Controllable High-Definition Map Generation for Traffic Scenario Simulation. During your assignment you will extend HD map generation ...
Master Thesis in Simulation and Testing of Refrigerant Separator
Qualifications** *Education:*master studies in the field of Mechanical Engineering, Aerospace Engineering, Process Engineering, Automotive Engineering or comparable* *Experience and Knowledge:* with numerical simulations (e. Personality and Working Practice: *high motivation for practical work and c...
Professorship (W3) in Cognitive Robotics for Industrial Applications
As well as having many years of experience in leading large interdisciplinary research groups, you will also have experience in the strategic planning, acquisition and implementation of large-scale national and international research and development projects in a range of business areas, as well as ...
Master Thesis in Simulation and Analysis of Gear Transmission Systems
Finally, you will document your findings clearly and structured, as well as prepare an engaging presentation of the results. Master studies in the field ofComputational Mechanics, Computational Science, Mechanical Engineering or comparable. The Shaft-Gear-Bearing-Housing system is a central configur...
Master Thesis Development of an ML-Based Post-Processing Scene Classification for ADAS Development Using Continuously Evaluated Data
To address this problem, in your Master thesis you will design a machine learning algorithm using continuous-valued input data from radar and camera to classify faulty scenarios in post-processing. Master Thesis Development of an ML-Based Post-Processing Scene Classification for ADAS Development Usi...
Thesis in Controllable High-Definition Map Generation for Traffic Scenario Simulation
Python and deep learning frameworks (PyTorch); experience in autonomous driving research, with diffusion models and using pretrained model repositories (e. During your assignment you will extend HD map generation such that they can be conditioned on external input including natural language. Master ...
Master Thesis in Causal Machine Learning
Master Thesis in Causal Machine Learning. Finally, you will work as part of a global research team in the area of Causal Discovery and Inference, serving different use cases within Bosch. Causal inference is one of the major challenges in AI and a core task in many disciplines. During your thesis, y...
Master Thesis Development of an ML-Based Post-Processing Scene Classification for ADAS Development Using Continuously Evaluated Data
To address this problem, in your Master thesis you will design a machine learning algorithm using continuous-valued input data from radar and camera to classify faulty scenarios in post-processing. However, these systems still have room for improvement in certain scenarios, which requires a systemat...