Assistant/Associate Specialist - Department of Electrical Engineering and Computer Science - University of California, Berkeley
Position overviewPosition title: Assistant or Associate Specialist
Open date: April 17, 2023
Next review date: Wednesday, May 31, 2023 at 11:59pm (Pacific Time)
Apply by this date to ensure full consideration by the committee.
Final date: Wednesday, May 31, 2023 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.
The Department of Electrical Engineering and Computer Sciences top-ranked programs attract stellar students and professors from around the world, who pioneer the frontiers of information science and technology with broad impact on society. Underlying our success are a strong tradition of collaboration, close ties to industry, and a supportive culture. The UC Berkeley Robotic AI & Learning Lab (RAIL) research focus is to enable machines to exhibit flexible and adaptable behavior, acquired autonomously through learning. To that end, we work on learning algorithms, robotics, and computer vision. We are seeking a robotics Assistant/Associate Specialist, interested in contributing to engineering for research projects, robotics and machine learning infrastructure, and some technical support. This position would provide candidates with opportunities to participate in research, in collaboration with students and postdocs at RAIL.
Job Responsibilities include:
• Robotics engineering: design of controllers, computer vision systems, and real-world experimental setup design (e.g., motion capture, instrumentation and sensors, etc.), and other infrastructure. Mostly software, some (relatively light-weight) hardware work.
• Contributing to research projects and papers through engineering, infrastructure, and experiment support. This might include contributing to engineering and implementation, setting up real-world experiments, and conducting experiments.
• Duties may involve some system administration support work, such as setting up GPU servers and job schedulers, as well as software infrastructure to facilitate running experiments on cloud services such as GCP and AWS. Duties may also include assistance with maintenance, procurement, and repair of robotic systems.
Labor Contract: https://ucnet.universityofcalifornia.edu/labor/bargaining-units/ra/contract.html
RAIL Robotic - AI & Learning Lab: https://rail.eecs.berkeley.edu/
Candidate must have a Bachelor’s degree (or equivalent international degree) at the time of application.
• Bachelor's degree or equivalent international degree in Computer Science plus 1-2 years of research/laboratory experience, or Master's (or equivalent) degree in Computer Science.
• Excellent software engineering skills, especially with Python.
• Working knowledge of standard robotics frameworks, such as ROS.
• Solid organizational and communication skills.
• Prior experience with machine learning frameworks, such as PYTorch or JAX.
• Prior experience with robotics research or robotics engineering (e.g. internships, undergraduate research).
• Some mechanical engineering, hardware design (e.g. CAD, 3D printing, laser cutting)
• Some system administration experience.
Curriculum Vitae - Your most recently updated C.V.
Most Recent Transcripts - May be requested from finalists.
Examples of Python code written previously - May be requested from finalists.
- 3 required (contact information only)
Help contact: email@example.com
Diversity, equity, inclusion, and belonging are core values at UC Berkeley. Our excellence can only be fully realized by faculty, students, and academic and non-academic staff who share our commitment to these values. Successful candidates for our academic positions will demonstrate evidence of a commitment to advancing equity, inclusion, and belonging.
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. For the complete University of California nondiscrimination and affirmative action policy see: http://policy.ucop.edu/doc/4000376/NondiscrimAffirmAct
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 condition of employment, you will be required to comply with the University of California Policy on Vaccination Programs – With Updated Interim Amendments. All Covered Individuals under the policy must provide proof of receiving the COVID-19 Vaccine Primary Series or, if applicable, submit a request for Exception (based on Medical Exemption, Disability, Religious Objection, and/or Deferral based on pregnancy or recent COVID-19 diagnosis and/or treatment) no later than the applicable deadline. All Covered Individuals must also provide proof of receiving the most recent CDC-recommended COVID-19 booster or properly decline such booster no later than the applicable deadline. New University of California employees should refer to Exhibit 2, Section II.C. of the SARS-CoV-2 (COVID-19) Vaccination Program Attachment for applicable deadlines. All Covered Individuals must also provide proof of being Up-To-Date on seasonal influenza vaccination or properly decline such vaccination no later than the applicable deadline. Please refer to the Seasonal Influenza Vaccination Program Attachment. (Capitalized terms in this paragraph are defined in the policy.) Federal, state, or local public health directives may impose additional requirements.
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