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Form of workJob Summary
Galvion exists to empower military and tactical missions around the world. Our tactical head solutions, power & data systems and advanced capabilities divisions work independently as well as collaboratively to design, develop and deliver best-in-class, purpose-built solutions that enhance the agility and survivability of the modern warfighter and other demanding end-users. With over 20 years of experience, we have a proven track record as a reliable partner and a reputation for excellence. We believe in human-centered innovation and work proactively to solve the problems left unsolved by others so that our partners can safely complete their missions.
The Data Scientist Intern will contribute to kick starting and accelerating current Computer Science / Machine Learning projects in the Warfighter Systems Integration Lab (WSIL.) The position will develop custom made methods to collect data under different challenging conditions. In particular motion capture data with occlusions or outdoors.
In addition, the position will accelerate progress in the development of AI-powered simulated bots for WSILs combat scenario simulations as well as other generic Machine Learning solutions.
This is a paid internship and has a start date of mid-May and ends in mid-late August 2024.
Job Responsibilities - About the role - you'll need to:
Insert projects & tasks they will be responsible for
Carry out training of AI bots and simulations
Contribute to development of algorithmic solutions for Motion Capture and Sensor Fusion
Assist in data collection, reduction and analysis for product testing using both qualitative and quantitative methods
Contribute to development of algorithmic solutions for eye-tracking
Contribute to the successful execution and completion of ongoing collaborative research at partnering academic institutions
Perform other duties as assigned
Required Skills - About you - you'll need:
Currently enrolled in and undergraduate or graduate program in Computer Science, Data Science or related fields
A strong foundation in Machine Learning and Neural Networks
A strong foundation in Python
Demonstrated intellectual flexibility, good judgment, and analytical problem solving
Knowledge of Tensorflow or Pytorch is a must
Knowledge of Reinforcement Learning is a plus
Knowledge of Unity 3D is a strong advantage
