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Assistant Specialist - UC Berkeley FHL Vive Center for Enhanced Reality
Position overview
Position title: Assistant SpecialistApplication Window
Open date: June 3, 2024
Most recent review date: Monday, Jun 17, 2024 at 11:59pm (Pacific Time)
Applications received after this date will be reviewed by the search committee if the position has not yet been filled.
Final date: Wednesday, Jul 3, 2024 at 11:59pm (Pacific Time)
Applications will continue to be accepted until this date, but those received after the review date will only be considered if the position has not yet been filled.
Position description
The UC Berkeley FHL Vive Center for Enhanced Reality is hiring an Assistant Specialist in the areas of robotics and machine learning.
The main goals of the center are to sponsor critical fundamental research and high-impact applications in the emerging fields of Virtual Reality (VR), Augmented Reality (AR), and Artificial Intelligence (AI), and at the same time serve as the central hub to facilitate the deployment of disruptive VR, AR, and AI technologies across the Berkeley campus for cross-disciplinary research and education.
We aim to achieve these goals by offering seed grant to our faculty, supervising and facilitating student research activities, and fostering external industry partnerships with other stakeholders.
The day-to-day duties of this position are to advance the development of machine learning-based autonomous systems, including ground vehicles and robot arms, using state-of-the-art control and computer vision algorithms, with applications for human-machine collaboration such as assembling, grasping, and playing Ping-Pong together with humans. The Assistant Specialist will also coordinate the collaboration in the lab between undergraduate and graduate students who work under the same project, and report timely project progress to their PIs. The Berkeley-owned ground vehicles include Indy Autonomous Vehicle and Leo Rover platforms for the applications of high-speed racing and off-road navigation. The Berkeley-owned robot arms include Kuka.
Qualifications
Bachelor’s Degree or equivalent international degree.
Master's degree (or international equivalent) or bachelor's degree (or international equivalent) plus two years of research experience.
Master's degree in computer science, electrical engineering, and machine learning or related field.
Work as a team member in a large and multidisciplinary project that includes undergraduate students, Ph.D researchers, and faculty members.
Professional training in developing machine learning algorithms, especially in reinforcement learning, large language models, and computer vision algorithms.
Proficient in C++ and Python programming.
The ability to utilize GitHub and/or other project management software to monitor the progress and milestones of the project and conduct quality assurance of the developed software.
Application Requirements
Curriculum Vitae - Your most recently updated C.V.
Cover Letter
- 3 required (contact information only)
Help contact: emartinez24@berkeley.edu
About UC Berkeley
UC Berkeley is committed to diversity, equity, inclusion, and belonging. The excellence of the institution requires an environment in which the diverse community of faculty, students, and staff are welcome and included. Successful candidates will demonstrate knowledge and skill related to ensuring equity and inclusion in the activities of their academic position (e.g., teaching, research, and service, as applicable).
The University of California, Berkeley is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status.
Please refer to the University of California’s Affirmative Action Policy and the University of California’s Anti-Discrimination Policy.
In searches when letters of reference are required all letters will be treated as confidential per University of California policy and California state law. Please refer potential referees, including when letters are provided via a third party (i.e., dossier service or career center), to the UC Berkeley statement of confidentiality prior to submitting their letter.
As a University employee, you will be required to comply with all applicable University policies and/or collective bargaining agreements, as may be amended from time to time. Federal, state, or local government directives may impose additional requirements.