13 Statistics positions at NTNU Norwegian University of Science and Technology in Norway

PhD candidate - Statistical models and methods for spatio-temporal data

21 Feb 2024 Job Information Organisation/Company NTNU Norwegian University of Science and Technology Department Department of Mathematical Sciences Research Field Mathematics » Statistics Researcher

Postdoctoral Fellow in Predictive AI for Healthcare

Experience with machine learning and statistical methods, especially in healthcare. Experience with federated learning. Knowledge about the health care system in Norway Good written and oral English and

Postdoctoral Fellows in Bioinformatics in the EU-funded ExMilk project

» Informatics Biological sciences » Nutritional sciences Mathematics » Statistics Medical sciences » Medicine Researcher Profile Recognised Researcher (R2) Country Norway Application Deadline 10 Jun 2024 - 23:59

Researcher in Robust AI

, statistics, mathematics, or a related area or in a related field or corresponding foreign doctoral degree recognized as equivalent to a Norwegian doctoral degree. In exceptional cases we can also consider

PhD Candidate in Edge Intelligence

selection criteria You must have a relevant background in computer science and engineering, communication, mathematics, or statistics. Your education must correspond to a five-year Norwegian degree program

PhD Candidate in Circumventing avian collision risk, an aerodynamic approach

basic research and applied research at a high international level. Our aim is to meet the society’s needs for mathematical and statistical expertise in business and public administration as well as in

Ph.D. Candidate in Artificial Intelligence with Application to Geophysics

-inspired and statistical methods from artificial intelligence (AI) and machine learning (ML). Relevant methods and models include stochastic optimization, stochastic processes, Markov chains, causality

PhD Candidate in probabilistic lifetime assessment of nylon mooring lines

(ii) Identification of relevant failure modes for both single nylon mooring lines and for different mooring configurations. (iii) Statistical models of mooring line load effects both in relation

PhD Candidate in health-aware operation and maintenance planning

selection criteria Knowledge in statistical learning/machine learning, estimation techniques Experience with general process modelling Experience with methods from RAMS (Reliability, Availability, Safety

PhD Candidate in Safety-aware predictive control methods with robust contingency plans

selection criteria Knowledge in statistical learning/machine learning, state estimation techniques Experience with process modelling Experience with methods from Reliability, Availability, Safety, Maintenance