PhD Position offer

TITLE: PhD position: Data scientist / Machine Learning specialist

PROJECT DESCRIPTION: Water stress is currently a major concern in many regions of the World and is expected to worsen in the near future. Efforts to improve water management and minimize inefficiencies in distribution networks are essential to ensure adequate and sustainable water supply. The digitization of water meters and automation of data management have provided an unprecedented opportunity to gather massive data on the water cycle. Machine Learning (ML) and Artificial Intelligence (AI) techniques can use this valuable information to characterize, analyze and optimize the management of this key resource. The goal of this project is to rationalize the usage of water in a mid-size city using ML/AI approaches capable of detecting leaks and fraud, optimizing different processes along the water cycle, predict the distribution network response against different types of stressors and provide tailored services to end users.

SKILLS: The candidate will have experience in Machine Learning (ML) projects including data wrangling, training/test/benchmarking learners and deploying models. He/She will be proficient in popular ML packages either in python (scikit-learn, matplotlib, pandas) or R (tidyverse, mlr, ggplot).

IDEAL CANDIDATE: Master degree in Data Science, mathematics, physics, engineering or related discipline with coding experience in python or R and machine learning.

STUDENTSHIP: Gross monthly payment of the contract during the first year is 1.343,97 € per month, plus the corresponding fees for thesis supervision.

CONDITIONS: Funding: AGAUR Industrial Doctorate Programme
Contract conditions: 3-year temporary employment contract, with a gross annual salary of 22,000 euros.

APPLICATION PROCESS: To apply for the position, please send an email to