Job Description

Location: Singapore, Singapore

In fast changing markets, customers worldwide rely on Thales. Thales is a business where brilliant people from all over the world come together to share ideas and inspire each other. In aerospace, transportation, defence, security and space, our architects design innovative solutions that make our tomorrow\'s possible.

Thales established its presence in Singapore in 1973 to support the expansion of aerospace-related activities in the Asia-Pacific region. Throughout the last four decades, the company grew from strength to strength and is today involved in the primary businesses of Aerospace (including Air Traffic Management), Defence & Security, Ground Transportation and Digital Identity & Security. Thales today employs over 2,100 people in Singapore across all its business areas.

Reinforcement Learning Intern

Topic: Reinforcement Learning for Drone Path Generation

Description:

Thales is a world leader in radar systems and offers a wide range of platforms for land, air, and maritime operations. In support of these platforms, these radar platforms are equipped with various algorithms to aid in the tracking and classification of objects flying within the area covered by the radar. To ensure accuracy of the track and classification, the AI-based radar algorithms are trained on large amounts of data. Due to the difficulty of organizing field trials, it is challenging to obtain sufficient data from drone flights for algorithm development and testing. This internship would focus on exploring the possibility of generating realistic drone flight trajectories through the use of reinforcement learning to augment the radar algorithm training data set.

Specific Responsibilities:

Setup simulation environment to allow for the realistic flying of drones

Training of one or more reinforcement learning agents to fly within the environment

Processing of generated flight data into a form usable by radar algorithms

Key Requirements:

Interest or experience in reinforcement learning strategies

Skills in scripting/programming (Linux, Python)

Experience with ML libraries (TensorFlow, PyTorch)

Experience in using open source drone simulators like PaparazziUAV would be advantageous

Expected Outcomes:

A dynamic simulator environment that enables virtual drone flights in different conditions

One or multiple RL trained agent models that are able to pilot the virtual drones in the simulator to generate trajectories for offline use

At Thales we provide CAREERS and not only jobs. With Thales employing 80,000 employees in 68 countries our mobility policy enables thousands of employees each year to develop their careers at home and abroad, in their existing areas of expertise or by branching out into new fields. Together we believe that embracing flexibility is a smarter way of working. Great journeys start here, apply now!

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