Postdoctoral Fellow in Artificial Intelligence
5 months ago
About the job
The postdoctoral fellowship position is a temporary position where the main goal is to qualify for work in senior academic positions.
At the Department of Computer Science, we have a vacancy for a Postdoctoral Fellow in Artificial Intelligence for developing and building trust in deep learning models applied to the operation of the power grid. This project is a part of the research center. The work will be performed in close cooperation with Statnett, the Norwegian transmission system operator.
The power sector is in rapid development. The green energy transition introduces large amount of power from renewable and intermittent energy sources such as wind and solar. This leads to large, rapid fluctuations in the system, and a need for predictive machine learning models for safe and efficient operation. In particular, Statnett increasingly relies on accurate forecasts on many different timescales.
Deep learning, and in particular transformer models, have been successfully applied to a broad range of problems. These models are particularly successful in large language models but are also increasingly applied to time series forecasting. However, their application remains limited to industrial problems, partly due to limited availability of training data, and partly due to lack of transparency and explainability.
The objective of this position is to further the uptake of deep learning in industrial processes, particularly in the operation of critical infrastructure such as the power grid. The focus will be on methods for building model trust by adding explainability and quantifying uncertainty, as well as studying ways to exploit domain knowledge in combination with observational data, for instance by data augmentation through simulation or by incorporating expert knowledge into the models (e.g. through the use of hybrid models or deep probabilistic models).
The use of transformers for time series forecasting is a natural first application, but other deep learning architectures and other applications such as anomaly detection are also within the scope of this position. In particular, we are interested in explaining anomalies to reduce the number of false positives.
Together with partners in the SFI NorwAI, the fellow will work on methods and develop prototype models. We anticipate the starting date for the fellow to be during autumn 2024 or early 2025.
Your immediate leader is the Director of NorwAI.
Duties of the position
The main duties and responsibilities for the position are:
Conducting research within deep learning applied to industrial processes and critical infrastructure in collaboration with members of the research group. Test and evaluate the solution in simulated and real environments. Disseminate results through publications and presentations.
Required selection criteria
You must have completed a Norwegian doctoral degree or corresponding foreign doctoral degree recognized as equivalent to a Norwegian PhD in Computer Science, Mathematics, or a related field.If you can document that the PhD thesis has been submitted, your application can be assessed even if you have not yet defended your dissertation. Documentation of the obtained doctoral degree must be presented before you can take up the position. You must have a professionally relevant background in Artificial Intelligence and published scientific articles at relevant conferences and journals.
The appointment is to be made in accordance with
Preferred selection criteria
Excellent programming skills. Experience with AI projects. Good written and oral English skills.
Personal characteristics
Ability to take initiative and work independently. A positive and professional attitude as well as being a good team-worker. Social adaptability and communication skills. Willingness to learn new skillsets. Interest in working on cross-disciplinary problems and the operation of the power system.
We offer
exciting and stimulating tasks in a strong international academic environment an open and with dedicated colleagues favourable terms in the
Salary and conditions
As a Postdoctoral Fellow (code 1352) you are normally paid from gross NOK 594 500 per annum before tax, depending on qualifications and seniority. From the salary, 2% is deducted as a contribution to the Norwegian Public Service Pension Fund.
The period of employment is 3 years.
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Trondheim, Trøndelag, Norway Norwegian University of Science and Technology Full timeAbout the JobThe Norwegian University of Science and Technology invites applications for a Postdoctoral Fellow in Artificial Intelligence. This is a temporary position with the main goal of qualifying for work in senior academic positions.Job DescriptionThe Postdoctoral Fellow will work on developing and building trust in deep learning models applied to the...
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