PhD Intern - Data Scientist & Generative AI in Femcare
Core
PhD intern developing Generative AI tools and active learning strategies to optimize R&D experimentation resources in consumer product development.
Role type
PhD intern, Data Scientist & Generative AI
Builds
Gen AI co-pilot tools, optimized experimental study/simulation pipelines
Domain
Consumer packaged goods, R&D, Machine Learning
Deliverable
production ML models
Required skills
active learning, sequential experimental design, probabilistic machine learning, Bayesian statistics, surrogate modeling, Python, PyTorch, scikit-learn, BoTorch, GPyTorch, experimental design, model evaluation
Preferred skills
Bayesian optimization, multi-armed bandits, reinforcement learning, uncertainty quantification, Gaussian processes, evidential models, Bayesian neural networks, ensembles, scientific computing, CFD, FEA, Generative AI prototyping
Responsibilities
Evaluate uncertainty using historical consumer study and simulation datasets, identify next study/simulation/measurement based on uncertainty reduction, optimize experimental resources, create prototype work process
Seniority
PhD candidate, hands-on IC
