Fully Funded PhD: Bayesian Forecasting for Supply Chains

The International Society for Bayesian Analysis; Lille; On-site; EUR 13,392 - 22,320; Full time

Job summary

A research organization is offering a fully funded PhD position in Lille, France, focusing on Bayesian models for forecasting in the supply chain. Candidates should have a background in machine learning, signal processing, or applied mathematics, along with strong mathematical and programming skills in Matlab and/or Python. The position starts September/October 2018, with an opportunity for an earlier start date.

Qualifications

• Proven background in machine learning, signal processing, statistics or applied mathematics.
• Strong mathematical skills required.
• Experience in programming, preferably in Matlab and/or Python.

Responsibilities

• Develop Bayesian models for forecasting in the supply chain.
• Conduct mathematical modeling of the supply chain.
• Develop inference methods for probabilistic prediction.

Skills

Machine learning

Signal processing

Statistics

Applied mathematics

Programming in Matlab

Programming in Python

Job description

A research organization is offering a fully funded PhD position in Lille, France, focusing on Bayesian models for forecasting in the supply chain. Candidates should have a background in machine learning, signal processing, or applied mathematics, along with strong mathematical and programming skills in Matlab and/or Python. The position starts September/October 2018, with an opportunity for an earlier start date.