Developing novel information theoretic discrepancy measures (Project #3)

Description

Machine learning increasingly needs to deal with new types of data, needs new ways to incorporate a priori knowledge for better generalization and explainability, and needs to discover causal relationships. A key research question for this project is: How do we develop novel measures of discrepancy or divergence to best capture information in data for efficient neural networks learning?

Specific project requirements

• Master's degree in machine learning, computer science, statistics, mathematics or related fields with a strong background in statistical learning theory, deep learning, pattern recognition.
• For this PhD position, the Master’s thesis must have the grade B or better in the Norwegian educational system, when the degree is obtained.
• Strong programming experience and experience with training deep neural networks (e.g. PyTorch, Tensorflow). 
• Documentation of English proficiency

Supervisors

• Professor Robert Jenssen, robert.jenssen@uit.no contact person for inquiries about the position 

• Associate Professor Shujian Yu 

• Associate Professor Johan Pensar 

• Associate Professor Ali Ramezani-Kebrya

• Professor Sylvia Richardson

Admission to the PhD programme

For employment in the PhD position, you must be qualified for admission to the PhD programme at the Faculty of Science and Technology, and participate in organized doctoral studies within the employment period.

Admission normally requires:

• A bachelor's degree of 180 ECTS and a master's degree, or an integrated master's degree.

UiT normally accepts higher education from countries that are part of the Lisbon Recognition Convention.

In order to gain admission to the programme, the applicant must have a grade point average of C or better for the master’s degree and for relevant subjects of the bachelor’s degree. A more detailed description of admission requirements can be found here.

If you are employed in the position, you will be provisionally admitted to the PhD programme. Application for final admission must be submitted no later than two months after taking up the position.

General information

The appointment is made in accordance with State regulations and guidelines at UiT. At our website, you will find more information for applicants.

More practical information about working and living in Norway can be found here: https://uit.no/staffmobility