The Centre for Automation and Robotics (CAR), joint research institute of the Spanish Research Council (CSIC) and the Technical University of Madrid (UPM) is looking for a researcher to work on GPU-based acceleration of navigation/decision-making functions for automated vehicles.
CSIC is the largest public multidisciplinary research organization in Spain. It has a staff of more than 10000 employees, among these more than 3200 scientists and about 3800 pre and postdoctoral researchers. The CSIC has 116 Institutes and Centres distributed throughout Spain. It has considerable experience in both participating and managing R&D projects and training grants. Under the first 2 years of H2020, CSIC obtained 203 projects with an EU financial contribution of 88.5 million euros.
Within CAR, AUTOPIA (https://autopia.car.upm-csic.es) has a solid experience in providing intelligence to automated vehicle systems in specific situations where communication and interaction abilities may permit to solve understanding-decision dilemmas of isolated self-driving cars. The group has a growing interest in decision-making architectures where driver intentions and skills can be adopted at different assistance levels (from SAE L2 to L4). The influence of perception, localization and mapping on this decision-making and road interactions are key research questions that articulate AUTOPIA scientific activity.
The successful candidate will conduct his/her research activities at AUTOPIA group, in the CAR site of Arganda del Rey (Madrid). Salary will be determined depending on the experience and skills of the candidate (ranging from 28.441€ to 37.278€ gross per year). Duration will be initially for two years with the option to extend for more years, depending on work record.
The work to be carried out will be to support, according to the candidate’s abilities, the research activity of Autopia group within the framework of the European projects PRYSTINE, SECREDAS, NEWCONTROL and UBIMFC, as well as in 3 R&D contracts with companies that will start in the first quarter of 2020. All projects orbit around the decision-making, planning and control of automated and connected vehicles. The expected role of the candidate is to accelerate existing (or under development) algorithms, coded in Matlab/C++, for its implementation in hybrid CPU/GPU computing platforms, to be embedded in automated vehicles.
The ideal candidate should have a MSc or a PhD in Robotics, Computer Science, Mathematics, Physics, or a related engineering discipline. Proven experience in CUDA programming is required. A background in perception and decision-making algorithms for robotic systems is desirable.
Candidates please contact Jorge Villagra, (email@example.com) by 30th November 2019, including:
• an updated short CV with complete publication list
• cover letter describing background and motivation
• a letter of recommendation