Support the supervisor in developing and implementing the research agenda;
Conduct high-quality and innovative research primarily focused on Control theory and ML methodologies for Field Robotics;
Reproduce results of the state-of-the-art (SOTA) methods;
Design and implement experiments to compare proposed work with SOTA baselines;
Contribute to the preparation of manuscripts for publication in high-impact journals and conferences;
Integrate, maintain and document mechatronic devices;
Create, maintain, and document high-quality research code for reproducibility; and
Collaborate with scientists within the NYU Global Network and in Abu Dhabi.
Currently has or is in the process of completing a Master’s degree or equivalent terminal degree from a recognized institution
Master’s degree in Mechanical Engineering, Mechatronics or Electrical Engineering.
Demonstrable research experience involving integration of hardware and software of robotic systems.
Demonstrable research experience in conducting experiments for field robotic systems
Proficient programming experience in embedded, real-time software in C/C and Python with several years of practice
Experience in maintaining high-quality code on Github
Ability to visualize experimental results
Effective inter-personal and team-building skills
Self-motivated with an ability to work independently and in a team to get the work done
Excellent communication skills (oral and written communication)
Willingness to learn and confront new challenges
Master’s thesis conducted in the area of control and/or machine learning for field robotic systems
First-author peer-reviewed published papers (and/or under review)
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