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

PhD Candidate in Privacy Preserving Machine Learning

students work to create knowledge for a better world. You will find more information about working at NTNU and the application process here. About the job About the position For a position as a PhD Candidate

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

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

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 Advanced Forming of Extruded Aluminium Profiles with High-Content Recycled Alloys

application process here. About the job We are looking for a 3-year PhD candidate within the field of “Advanced Forming of Extruded Profiles Based on Recycled Aluminium”. The position is within the research

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 in Edge Intelligence

to an obtained doctoral degree. The PhD candidate will investigate fundamental issues on edge intelligence, with focusing on distributed learning and inference of foundation models in the IoT-Edge-Cloud continuum

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