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PhD Research: Monitoring Road Conditions for Autonomous Vehicles

vor 2 Monaten


Munich, Bayern, Deutschland Infineon Technologies Vollzeit
Position Overview

The industrial doctorate at Infineon Technologies offers a unique opportunity to pursue a doctoral degree while gaining invaluable professional experience. This dual approach serves as an excellent foundation for your future career.

Research Focus

The focus of this PhD thesis is on road condition monitoring solutions tailored for autonomous transportation systems (ATS). The aim is to develop methodologies that utilize various sensor technologies, including radar, to monitor the operational environment effectively. This is crucial for identifying safety-critical conditions such as road cracks, potholes, and black ice, which pose significant hazards to autonomous vehicles.

Key Responsibilities
  • Conduct an in-depth exploration of radar and sensor data for applications in autonomous transportation.
  • Investigate and create algorithms for processing radar and sensor data, focusing on data fusion techniques.
  • Develop efficient monitoring algorithms suitable for edge computing devices.
  • Evaluate the effectiveness of developed algorithms against existing state-of-the-art solutions.
Expected Outcomes

The research will yield:

  • Scientific studies on road condition monitoring concepts utilizing diverse sensor approaches.
  • Collaboration with university researchers and fellow PhD candidates at Infineon, particularly in the realms of AI and environmental sensors.
  • Implementation of demonstration solutions and algorithms for radar-based road condition monitoring.
Candidate Profile

The ideal candidate will be a research enthusiast with a strong interest in combining scientific inquiry with the innovative applications of Infineon’s products. They should thrive in an industrial setting while collaborating with an academic partner.

Qualifications
  • Eligibility for full-time PhD studies.
  • A master’s degree in computer science, electrical engineering, or a related field, with a focus on embedded systems, data mining, and machine learning.
  • Basic understanding of radar and other sensors, such as ultrasound.
  • Experience with AI algorithms for sensor data processing and fusion.
  • Familiarity with signal processing techniques in both time and frequency domains.
  • Experience in setting up demo systems.
  • Prior industry experience, proficiency in English, and basic knowledge of German.
Benefits
  • Coaching and mentoring opportunities.
  • A wide range of training programs and career development planning.
  • International assignment possibilities.
  • Diverse career paths including Project Management, Technical Ladder, and Individual Contributor roles.
  • Flexible working arrangements.
  • Home office options available.
  • Part-time work arrangements, including during parental leave.
  • Sabbatical opportunities.
  • On-site childcare facilities.
  • Health promotion initiatives.
  • Access to on-site fitness facilities and recreational activities.
  • Corporate pension benefits and performance bonuses.