31 machine-learning positions at NTNU Norwegian University of Science and Technology

PhD Candidate in Privacy Preserving Machine Learning

to the security of our society. We teach and conduct research in cyber security, information security, communications networks and networked services. Our areas of expertise include biometrics, cyber defence

Researcher in Robust AI

, including comprehensive experience with modern machine learning libraries. Published scientific articles in the field of this position. Good written and oral English language skills Preferred selection

PhD in Dynamic Allocation of Distributed Resources in Short-term Reserve and Flexibility Markets

emerging field that applies computational techniques such as big data, machine learning, artificial intelligence, optimization, etc. for realizing sustainable future energy systems (smart grids, smart homes

PhD Candidate in Trustworthy AI

data, model training, and model usage often attributed to disparate actors without established trust between them. This decentralization introduces vulnerabilities, as adversarial machine learning

PhD Candidate in Pulse Jet Propulsion for Commercial ships

propulsion, optimization, machine learning, simulations, or similar topics practice scientific communication by writing articles and attending conferences with other scientists and PhD candidates Investigate

PhD Candidate within AI and Big Data

partners of NorwAI. Required selection criteria You must have a professionally relevant background in algorithms, machine learning, database systems, or data mining, with a research-oriented master’s thesis

Postdoctoral Fellow in Cyber Threat Intelligence Sharing for Improved Situational Awareness

available data from the internal military network infrastructure, and devices used by military units in operation and on battlefield, which includes structured and unstructured data in the form of logs

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

, demonstrated on problems in geophysics. The Ph.D. candidate will research methods for optimization and explainable machine learning in the context of Earth science and geophysic.  Emphasis will be on bio

PhD Candidate in developing a platform for computational battery design

professionally relevant background with a master’s degree (or similar level) involving computational science (machine learning and modelling), and electrochemical experimentation on batteries and pouch cell

PhD Candidate in AI and data-driven safety management in operation of autonomous ships

areas: Machine learning; Reliability, availability, maintainability, and safety (RAMS); Marine/Control engineering education must correspond to a five-year Norwegian degree program, where 120 credits