a unique coating material that provides the sort of barrier to moisture that could previously only be achieved by fossil fuel plastics. This renewably sourced coating is then applied to paper and card to create recyclable packaging which is bio-degradable. Even if it ends up at sea, Kelpi-coated paper and card will break down naturally, leaving … should be organised, have a strong work ethic, and show an innovative and methodical approach to problem solving. You should have: Background in Machine Learning, Statistics, AppliedMathematics, Computer Science or a related field (MSc or PhD ideal, but open to strong BSc candidates) Hands-on experience with Bayesian optimization, ideally in noisy or low-data regimes More ❯
disciplinary team of machine learning experts, experimentalists, fabrication experts, software developers, and computer scientists. Qualifications and Education Requirements Master's degree in Physics, Photonics, Electrical Engineering, AppliedMathematics, Computer Science, or equivalent. The ideal candidate is deeply interested and enthusiastic to perform research in the emerging field of optical and neuromorphic computing, specifically from the holistic point More ❯
their talented R&D team in Paris, working on advanced algorithms that drive real-world impact. This is a unique opportunity to blend robotics, AI, and appliedmathematics in a purpose-driven environment. What you'll be doing: Designing and improving control algorithms using techniques such as linear, nonlinear, and model predictive control Training hybrid and end … Participating in real-world testing with hardware teams on robotic systems What we're looking for: Masters Degree or PhD in Control Engineering, Machine Learning, Robotics, AppliedMathematics or a similar field Strong background in robotics control systems and/or machine learning for real-time applications Proficient in Python and C++ Solid knowledge of kinematics, dynamics More ❯
their talented R&D team in Paris, working on advanced algorithms that drive real-world impact. This is a unique opportunity to blend robotics, AI, and appliedmathematics in a purpose-driven environment. What you’ll be doing: Designing and improving control algorithms using techniques such as linear, nonlinear, and model predictive control Training hybrid and end … Participating in real-world testing with hardware teams on robotic systems What we’re looking for: Masters Degree or PhD in Control Engineering, Machine Learning, Robotics, AppliedMathematics or a similar field Strong background in robotics control systems and/or machine learning for real-time applications Proficient in Python and C++ Solid knowledge of kinematics, dynamics More ❯
implement state-of-the-art numerical methods for computational efficiency Document solver methodologies, algorithms, and implementation details Requirements: Master’s degree or Ph.D. in Computational Engineering, AppliedMathematics, Mechanical Engineering, or a related field 2+ years of experience in developing numerical solvers for engineering applications Strong programming skills in C#/Python/C++ Advanced knowledge in More ❯
implement state-of-the-art numerical methods for computational efficiency Document solver methodologies, algorithms, and implementation details Requirements: Master's degree or Ph.D. in Computational Engineering, AppliedMathematics, Mechanical Engineering, or a related field 2+ years of experience in developing numerical solvers for engineering applications Strong programming skills in C#/Python/C++ Advanced knowledge in More ❯
alongside our team on software solutions applicable to FEA simulation of machines' dynamics and strength characteristics. Responsibilities: Develop mathematical models, solution algorithms, and computational methods for appliedmathematics problems in the field of mechanics of deformable solids. Design, develop, and implement software tools and applications for rotor dynamics analysis and structural simulations, simulation of performance and dynamic More ❯