Research Scientist / Research Engineer

Company Description

Do you care about impact on people? Do you want to publish your work in top tier-1 conferences?

Bosch Center for Artificial Intelligence in Israel is a unique place that researches and implements cutting edge technologies for manufacturing, automotive, robotics, and industrial applications. We are looking for Ph.D students / Ms.C students / Doctors in the areas of:

Reinforcement Learning
Robotics (Manipulation)
Computer Vision (FMs, Theory, Applications)
Planning, and Control & Machine Learning

If such things interest you, then Bosch Israel is looking forward for your application!

Job Description

Background: Robert Bosch GmbH is a major player in the global automotive market, and is developing perception systems powering autonomous driving functionality. One sensor of particular interest is the automotive radar, which is a cheap modality compared to lidar and camera, yet with a long sensing range (up to a few hundred meters), providing (radial) velocity information, and exceptionally resilient to weather and visibility conditions. However, the processing of radar measurements can be involved due to sensor specifics (measurement representation, tradeoff between sparsity and data rate, multipath reflections). Modern automotive radar is a relatively recent and underexplored technology, with vast potential for impactful innovation.

We are looking for Graduates to do research on AI-driven radar perception, in particular – one of the following topics:

Radar semantic perception (3D object detection, segmentation)
Radar simulation from RGB

If these topics interest you, or you have your own ideas on related topics, then Bosch Israel is looking forward for your application!

Create something new: As a research intern scientist you will conduct excellent research on real-world project. The results will be published at the leading AI venues and transferred for implementation in Bosch products.
Strong SW engineering capabilities: High proficiency in Python, Deep Learning frameworks, and CV methods in general.

Qualifications

Technical skills

Currently pursuing (or completed) a PhD or MsC in CS / EE / IE / ME or related faculties
Pursuing a thesis in one of the following areas:
Reinforcement Learning
Computer Vision
Autonomous Vehicles
Robotics

Personal skills

Self-confident and responsible team player with excellent communication skills
Initiative, highly motivated and motivating character for the team and partners
Leadership skills
Foreign applicants should arrange a work permit for Israel independently

Additional Information

Bosch AI site: https://www.bosch-ai.com/

Haifa team site: https://dotd.github.io/

Selected papers:

L Cohen, Y Mansour, M Moshkovitz. Finding Safe Zones of Markov Decision Processes Policies. NeurIPS 2023.
E Kosman, D Di Castro. GraphVid: It only Takes a Few Nodes to Understand a Video. ECCV 2022
Y Miron, C Ross, Y Goldfracht, C Tessler, D Di Castro. Towards autonomous grading in the real world. 2022
S Di-Castro, S Mannor, D Di Castro. Analysis of stochastic processes through replay buffers. ICML 2022
V Tchuiev, Y Miron, D Di Castro. DUQIM-Net: Probabilistic Object Hierarchy Representation for Multi-View Manipulation, IROS 2022.
S. Di Castro Shashua, S. Mannor, D. Di Castro. "Sim and Real: Better Together". NeurIPS 2021.
J. Oren, C. Ross, M. Lefarov, F. Richter, A. Taitler, Z. Feldman, D. Di Castro, C. Daniel. "SOLO: Search Online, Learn Offline for Combinatorial Optimization Problems". SOCS, 2021.
O. Spector, D. Di Castro. "InsertionNet - A Scalable Solution for Insertion". IROS 2021, RAL.
E. Kosman, D. Di Castro. Vision-Guided Forecasting-Visual Context for Multi-Horizon Time Series Forecasting. arXiv preprint arXiv:2107.12674, 2021. Presentation
Botach, Y. Feldman, Y. Miron, Y. Shapiro, D. Di Castro. BIDCD-Bosch Industrial Depth Completion Dataset. arXiv preprint arXiv:2108.04706