Research Scientist II
DataminrFull Time
Junior (1 to 2 years)
Candidates should possess a PhD in computer science, machine learning, applied statistics, or a related field, demonstrating enthusiasm for utilizing machine learning, particularly deep learning and probabilistic methods, for scientific and engineering challenges. Strong problem-solving skills and the ability to analyze issues, identify causes, and recommend solutions quickly are essential, along with excellent collaboration and communication skills for working with teams and customers.
The Research Data Scientist will work closely with machine learning engineers, simulation engineers, and customers to translate physics and engineering challenges into mathematical problem formulations, building models to predict the behavior of physical systems using state-of-the-art machine learning and deep learning techniques. They will own research workstreams, discuss results with colleagues and customers, collaborate with other teams to translate models into production-ready code, and communicate their work through publications, workshops, and customer conversations. Additionally, they will foster a nurturing environment for colleagues with less experience in data science and machine learning to grow and be mentored.
AI-driven simulation for advanced industries
PhysicsX enhances the design and operation of machines in advanced industries using artificial intelligence and simulation technologies, focusing on sectors like renewable energy, healthcare, and transportation. Their AI-driven simulations help clients, including medical device manufacturers and aerospace companies, improve efficiency and reduce emissions. The company operates on a project-based and long-term contract model, providing specialized services that lead to significant performance improvements. With a leadership team experienced in machine learning and engineering, PhysicsX aims to achieve engineering breakthroughs that positively impact society.