PhD candidate position focused on applying data analysis and machine learning to railway fault detection and maintenance. Requires relevant Master's degree and programming skills.
Intitulé du poste : PhD Candidate in Quantifying the Benefits of Wayside Detection for Railway Infrastructure
Métier : Universitets- og høyskolelektorer/-lærere, Stipendiat
Formation attendue : Master
Expérience attendue : Ingen, Noe
Compétences et mots-clés : Dataanalyse, Doktorgradsstipendiat, Infrastruktur, Jernbane, Maskinlæring, PhD, Sensoranalyse, Statistisk modellering, Universitet, Vedlikehold
Langue de travail : Engelsk
Date limite de candidature : 2026-10-31T00:00:00
Texte intégral de l'annonce sur le site de NAV (lien ci-dessus).