A Research Platform for Singapore

Computer Vision Engineer for Real-World Robotic System

Posted Date:4 January 2019
Closing Date:Open until filled
Hours:Full Time
Duration:Fixed Term



Technical university of Munich - Campus for Research Excellence and Technological Enterprise (TUMCREATE) is a research platform for the improvement of Singapore's public transportation, including the deployment of electric and autonomous mobility. Researchers from Technical University Munich and Nanyang Technological University join forces and are funded by Singapore’s National Research Foundation as part of the Campus for Research Excellence And Technological Enterprise (CREATE).

At TUMCREATE, over 100 scientists, researchers and engineers work together, led by Professors from the Technical University of Munich and Nanyang Technological University. The Mission of TUMCREATE is to seek the ultimate public transport system for the people of Singapore. Our innovative road transport solutions will provide high comfort and a positive travel experience, best protection of the environment and maximum benefit to the society and the economy.

More Information about TUMCREATE can be found by viewing our web pages at http://www.tum-create.edu.sg/ 


About This Position

The design of real-world robotic systems is a multi-disciplinary effort. It involves the development of advanced perception systems, artificial intelligence based decision making, mechanical elements like sensors and actuators, electronic components for connecting and controlling the mechanical elements and software for higher-level planning and process control.

This job profile focuses on development of such robotics systems from the perspective of advanced perception system using beyond state of the art computer vision techniques. The job will be within an emerging deep-tech startup working towards commercialization of SPEEDCARGO - world's first AI-powered robotic solution for automatic build-up and break down of aviation cargo pallets.

More details on the project: https://www.speedcargo.sg/


Objective & Tasks

Successful candidate will be working in a team to primarily integrate software components of a large robotic system that includes an industrial robot, actuating end effectors, vision sensors, high level robot control and intelligent systems. There will be potential to do development in a wide range of these areas. The primary responsibility of the candidate will be development of advanced computer vision software. In addition candidate will require collaborating closely with the rest of the group in optimizing the process flow and troubleshooting problems that arise during testing in a resourceful manner.


Mandatory Requirements

  • Since the project will focus on real world deployment of industrial robotics system we require the candidate to have minimum 2-5 years’ experience working on computer vision for real world systems (preferable in Industry). Candidates with only lab/research experience won’t be considered.
  • PhD/Master/Bachelor Degree in Computer Science from a reputed University
  • Strong fundamentals in computer science and mathematics related to Computer Vision. Candidates with only knowledge of Machine Learning (without the mathematical basis) will not be considered.


What we expect from you

  • Relevant experience in 3D development, Computer Vision and Image Processing
  • Statistical analysis, State Estimation (Kalman Filters, Particle Filters) and Machine Learning (SVM, Decision Trees, Neural Networks).
  • Familiarity with ROS, C/C++, Java, Python, Linux, git, OpenCV, PCL, OpenGL, MATLAB
  • GUI and Mobile App Development
  • Ability to work independently


What we offer you

  • An international and multidisciplinary working environment
  • Opportunity to work on deep-tech robotic system
  • Challenging tasks with real-life relevance



Dr Suraj Nair (suraj.nair@tum-create.edu.sg)


How to apply

Please send through a complete application including cover letter, CV, University degrees and transcripts to Suraj Nair at suraj.nair@tum-create.edu.sg


Thank you for your applications, only shortlisted candidates will be notified.