Position Overview
KU is seeking a highly motivated Research Assistant to work on and support R&D activities for the Autonomous Vehicle Lab (AV Lab) the main task is to integrate various AV Lab technologies in perception, prediction, and planning into a software stack, implemented in ROS and is executable on simulation platforms and on AV Lab physical platforms (e.g., Nissan Leaf, EasyMile). In addition, the researcher will oversee the KU team in RTA self-driving car competition and ensures smooth execution of all activities
As part of the project, the researcher will have access to state-of-the-art research equipment and facilities at the AVLab and will get an opportunity to work alongside researchers and graduate students from various backgrounds as part of a wider team.
Position Requirements
- Hands-on technical knowledge in software integration and setting up sensing mobilities and compute units on a vehicle
- Strong knowledge in programming (e.g., C, C++)
- Proficiency in Linux OS and shell scripting
- ROS/ROS2 development and integration
- Adhere to the University's information security and confidentiality policies and procedures, and report breaches or other security risks accordingly
- Perform any other tasks assigned by the Line Manager
Qualifications
Candidate Profile
Essential Criteria
- Bachelors from a reputable university in computer science, engineering or related discipline
- Experience of undertaking assigned research tasks and contributing to academic outputs
- A willingness to contribute to a collaborative and supportive team culture
- Excellent English language communication skills (verbal and written)
- Ability to function as part of a team working on multiple tasks with competing demands and deadlines
- Well-developed reasoning and problem-solving skills
Desired Criteria
- Bachelors gained from and/or experience working in a top 200 QS or THE ranked University
- At least 1 year of relevant experience as a researcher in academia or in industry
- Experience contributing to high impact publications in top 10% journals in the relevant field
Should you require further assistance or if you face any issue with the online application, please feel to contact the Recruitment Team ([email protected] ).
Primary Location: Abu Dhabi UAE
Job: Research Assistant
Schedule: Regular
Shift: Standard
Job Type: Full-time
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