Last review date:Wednesday, Aug 21, 2019 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: Thursday, Sep 5, 2019 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 Electrical Engineering and Computer Sciences Department at University of California, Berkeley is seeking an Assistant/Associate Specialist. Learning a semantic and geometric understanding of the world from visual data is one of the core problems in navigation. We are developing deep learning-based perception-action modules that leverage massive amounts of structured indoor navigation datasets for efficient navigation in unknown indoor environments.
Appointment length: This is twelve month, 100% time appointment with the possibility of extension being subject to performance and budgetary approval. Anticipated start: September 2019.
Responsibilities: The successful candidate's main duties and responsibilities will be to work with senior PhD candidate to:
Implement deep learning based models for robustly estimating depth, occupancy.
Implement, simulate, evaluate, and run new motion planning strategies.
Work across the software system to define the right data and interfaces for successful motion planning.
Implement real-time tracking, classification, and detection models to equip robots with total scene understanding.
Help to predict trajectories for objects/humans based on semantic understanding of the scene.
Basic Qualifications (at the time of application): Bachelor's degree or equivalent international degree
Additional Qualifications (by start date): Bachelor's degree or equivalent international degree
Preferred Qualifications: 1) MS in Computer Science or related technical field 2) Experience in designing algorithms for robotic navigation 3) Understanding of state-of-the-art methods for navigation in both the classical and learning-based communities 4) Experience working in Robotics, Computer Vision, Machine Learning, with experience in classical computer vision techniques and graphics pipeline 5) Working proficiency in Python, ideally experience in OpenGL 6) Strong mathematical fundamentals (linear algebra, optimization, statistics) 7) Knowledge and experience in Deep Learning
Salary: To be commensurate with qualifications and experience.
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: (http://apo.berkeley.edu/evalltr.html) prior to submitting their letters.
The University of California 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.
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