Postdoctoral Fellow in Machine Learning: Join a dynamic research team at the Department of Mathematics and Statistics, Faculty of Science and Technology, UiT The Arctic University of Norway, to pioneer advancements in machine learning for graphs and time series data. This postdoctoral position offers a unique opportunity to engage in cutting-edge research, collaborating with leading universities and industrial partners in Northern Norway and Europe.
Postdoctoral Research Fellow in Machine Learning for Graphs and Time Series Data
Designation: Postdoctoral Research Fellow
Research Area: Machine Learning for Graphs and Time Series Data
Location: Tromsø, Norway
Eligibility/Qualification:
- A Norwegian doctoral degree (PhD) or equivalent foreign doctoral degree in Computer Science, Mathematics, or Physics with a dissertation focused on machine learning, deep learning, or related areas.
- Proficiency in Python, Linux operating system, and common programming tools.
- Solid understanding of deep learning, experience with Pytorch, and common data analysis libraries.
- Proactive learning approach, staying updated with evolving frameworks and methodologies.
- Excellent communication skills, both written and verbal.
- Strong publication record in reputable journals and conferences.
- Capacity for independent research and collaborative teamwork.
Job Description:
- Engage in basic research in machine learning models for time series and graphs.
- Develop innovative tools and architectures for processing spatio-temporal data.
- Enhance existing deep-learning models with theoretical and practical insights.
- Collaborate with industrial partners and leading universities in Europe.
- Contribute to project activities focusing on randomized architectures, multi-scale representations, uncertainty quantification, and interpretability.
- Apply methodologies developed to analyze energy systems, focusing on load forecasting, power flow optimization, and fault localization.
How to Apply: To apply for this position, please submit the following documents through Jobbnorge before the deadline:
- Motivation letter
- CV
- Diplomas and transcripts (all degrees)
- Documentation of English proficiency
- Three references with contact information, including the PhD supervisor
- List of academic production and description of most important works
- Academic works (up to ten), including parts of dissertation for candidates in the final stages of PhD
Last Date for Apply: May 2nd, 2024
For further information about the position, please contact Associate Professor Filippo Maria Bianchi: email: filippo.m.bianchi@uit.no.
For more information about the project and the partners, please refer to the project website: https://en.uit.no/project/relay.
Employer: UiT The Arctic University of Norway
Municipality: Tromsø – Romsa
UiT The Arctic University of Norway is committed to promoting equality, gender balance, and diversity among employees and students. We encourage applicants with diverse backgrounds and experiences to apply. For applicants with disabilities or immigrant backgrounds, accommodations and support will be provided as needed.
