Computational Chemometrics Researcher
Shell Technology Centre - Bangalore, India
R
INR 800K-1500K (estimate) Mid-level Full Time
Tasks
- Apply deep learning to spectroscopy
- Build physics informed machine learning models
- Detect anomalies and identify root cause
- Develop chemometric and statistical models
- Implement Bayesian statistical learning
- Model spectral and chromatographic data
- Optimize and support process monitoring and control
- Perform uncertainty quantification
- Publish research and develop intellectual property
- Validate models with experimental simulated and operational data
Perks/Benefits
- Diversity and inclusion initiatives
- Progression opportunities
- Training and development programmes
- Values-led culture
Skills/Tech-stack
Active Learning | Adversarial Networks | Bayesian statistics | Chemometrics | Chromatography | Deep learning | Design of Experiments | Generative Adversarial Networks | Machine Learning | Multivariate analysis | Physics-informed machine learning | Reinforcement Learning | Series analysis | Spectroscopy | Time Series | Time Series Analysis | Uncertainty Quantification
Education
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