Research Associate (Postdoc) in Computer Vision for Autonomous Vehicles

SnT is a leading international research and innovation centre in secure, reliable and trustworthy ICT systems and services. We play an instrumental role in Luxembourg by fueling innovation through research partnerships with industry, boosting R&D investments leading to economic growth, and attracting highly qualified talent.

We’re looking for people driven by excellence, excited about innovation, and looking to make a difference. If this sounds like you, you’ve come to the right place!

Your Role
We offer an attractive Research Associate (Postdoctoral) position in close cooperation with our industrial partner Civil Maps. Civil Maps, is a provider of HD mapping technology that enables autonomous vehicles to safely and efficiently navigate the world. Learn more: bit.ly/cmlocvideo

The successful candidate will join the 360Lab research team led by Prof. Raphael Frank to work on the following tasks:

• Conducting research in the area of 3D computer vision: Structure from Motion (SfM), Stereo Vision, Visual SLAM, Visual (Inertial) Odometry
• Coordinating research projects and delivering outputs
• Providing guidance to PhD and MSc students
• Disseminating results through scientific publications
• Attracting funding in cooperation with industrial partners
• Organizing relevant workshops and demonstrations

Your Profile

• PhD degree in Computer Science, Computer Engineering, Electrical Engineering or related programs
• Proven experience computer vision: Structure from Motion (SfM), Stereo Vision, Visual SLAM, Visual (Inertial) Odometry
  Machine learning, esp. deep learning, applied to visual recognition or understanding, e.g. object recognition and localization, semantic segmentation, scene understanding, etc.
• Large-scale content-based image or video retrieval
• Prior experience in pose estimation, probabilistic filtering, and/or nonlinear optimization
• Strong publication record and/or proven track record of delivering solid technologies or products in above areas is a large plus
• Solid knowledge in fundamental algorithms and data structures
• Programming proficiency in Python and C++
• Passion for R&D and technical excellence, self-motivated, strong problem analysis and solving skills
• Language Skills: Fluent written and verbal communication skills in English are required

Competitive salary package. The University offers a 12 month-salary package, over six weeks of paid time off, health insurance and subsidised living and eating. Be part of a multicultural family. At SnT we have more than 60 nationalities. Throughout the year, we organise team-building events, networking activities and more.

In Short
Contract Type: Fixed Term Contract 24 Month
Work Hours: Full Time 40.0 Hours per Week
Location: Kirchberg
Job Reference: UOL03725

Applications should be submitted online and include:

• Full CV, including contact details of three referees
• Cover letter
• Transcript of all modules and results from university-level courses taken
• Certifications, if any.

Early application is highly encouraged, as the applications will be processed upon reception. Please apply ONLINE formally through the HR system. Applications by email will not be considered. The University of Luxembourg embraces inclusion and diversity as key values. We are fully committed to removing any discriminatory barrier related to gender, and not only, in recruitment and career progression of our staff.

For more details, please contact: raphael.frank@uni.lu