PhD on 6G key technologies (f/m/div.)

Bosch Group; Baden-Württemberg; Vor Ort; EUR 40.000 - 60.000; Vollzeit

Zusammenfassung

A leading technology company in Germany is seeking a Doctoral Candidate to study sensor data fusion techniques for automotive applications. The role involves developing ISAC mechanisms and evaluating new concepts with simulation tools. Ideal candidates will have advanced degrees in engineering or related fields with strong programming skills in Matlab, Python, or C++. The position emphasizes collaboration and continuous professional development and offers the chance to work across Europe.

Qualifikationen

• Excellent organisational skills and attention to detail.
• Ability to work collaboratively in a research environment.
• Willingness to travel and work across Europe.

Aufgaben

• Study sensor data fusion techniques in automotive applications.
• Develop ISAC mechanisms and evaluate new concepts.
• Investigate efficient mechanisms for sharing sensor data.

Kenntnisse

Excellent mathematical skills

High proficiency in Matlab

High proficiency in Python

High proficiency in C++

Solid background on wireless communications

Excellent written and verbal communication

Highly proficient English language skills

Ausbildung

Undergraduate degree and postgraduate master's degree in electronic/electrical engineering, mathematics, or physical sciences

Jobbeschreibung

Stellenbeschreibung

• 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

The Doctoral Canbdidate will study sensor data fusion techniques in automotive applications and will develop ISAC mechanisms. The project will target evaluation of new concepts and mechanisms with the help of simulation and analytical tools.

Specifically, the Doctoral Canbdidate will investigate how distributed sensing improves sensing performance using the devices / network infrastructure and how to jointly analyse sensing performance including also non-3GPP sensing measurements.

The Doctoral Canbdidate will also investigate efficient mechanisms and architectures for sharing sensor data for distributed fusion and inference (secondment at Karlsruhe Institute of Technology, KIT) and will investigate how spectrum sharing frameworks can be used in conjunction with distributed sensing data fusion (secondment at The American College of Greece, Research Center, ACG-RC).

Qualifications

• Education : *An undergraduate degree and a postgraduate master's degree (or equivalent) in electronic or electrical engineering, mathematics, electromagnetics, or a physical sciences subject.
• Experience and Knowledge : * Excellent mathematical skills and background, High proficiency in Matlab, Python, C++, or similar programming software, Solid background on wireless communications (antennas, propagation, stochastic geometry is a plus), and / or radar sensing, Experience with hardware and demonstrators is a plus, Excellent written and verbal communication, including presentation skills, Highly proficient English language skills.
• Personality and Working Practice : * Excellent organisational skills, attention to detail and the ability to meet deadlines, Ability to think logically, create solutions and make informed decisions, Willingness to work collaboratively in a research environment.
• Work Routine : * A strong commitment to his / her own continuous professional development, Willingness to travel and work across Europe.
• Enthusiasm* : Team player who enjoys working in an international environment
• Languages* : Excellent English communication skills

Additional Information

• Start : * according to prior agreement

The final PhD topic is subject to your university.

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 support during your application?

Michelle Kurz

• 49 7121 35-33122

Need further information about the job?

Frank Fischer

• 49 7121 35-35926