A postdoc position is available for a period of 18 month (possible extension for up to 9 month) in the framework of SOCORRO2 – Interreg 2Seas project.
- Starting date: Immediately
- Duration: 18 months (possible extension)
- Deadline for application: The call is open while the position is available
- Location: Bethune (46 Km from Lille, France), Universite d'Artois
The successful candidate will be pushing the boundaries of predictive analytics and machine learning techniques for problems appearing in the context of corrosion risk assessment.
Background in Math, Phys, Computer Science and OR is obligatory. Proficiency in data science toolkits and languages in particular Python (scikit-learn, dash, tensorflow, keras, plotly etc.) is an important criterion. A proven record of research and/or development in data science is expected.
While a candidate with solid theoretical background is sought, other criteria such as excellent communication skills, capacity and willingness in dealing with challenges of working with partners in industry and also academic partners in experimental science, autonomy, big-data manipulation skills, project management, software modeling and engineering, web programming knowledge and problem-solving and creativity attitude are decisive criteria.
This position also includes some traveling within the region of 2Seas (Southern UK, Flemish Belgium and Nord-pas-de-Calais France).
Applicants are invited to send their CV and other evidences such as GitHub links, or links to up-and-running solutions or any other supporting material to [email protected]
Please do include “PostdocSOCORRO” in the title of your email.