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 the mathematical models and algorithms for the core intelligence of the system. It will focus on developing algorithms for multiple constrained based optimizations for optimal and safe packing of air cargo shipments into a pallet/container. The constraints will include quantitative aspects from airline regulations, machine constraints from robots and gripper, motion planning, grasp planning and also qualitative aspects looking at end-to-end supply chain within an air cargo process scenario. 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.
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 algorithms in these areas. The primary responsibility of the candidate will be development of advanced optimization algorithms. 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.
PhD/Master/Bachelor Degree in Computer Science/Mathematics from a reputed University
Strong fundamentals in computer science and mathematics.
Ability to collaborate with software developers to transform the prototypical algorithms to production level code
What we expect from you
Strong fundamentals in Linear Algebra
Very good knowledge of Statistical analysis, State Estimation (Kalman Filters, Particle Filters) and Machine Learning (SVM, Decision Trees, Neural Networks).