Description
There is a growing and urgent need for efficient control of generative neural networks. The goal of this project is to find new ways of controlling ML models directly using their inner or "latent" representation of the data input. The project will involve both experimental, methodological and theoretical work in order to discover general concepts for control and to better understand the inner mechanisms of these models.
Specific project requirements
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Master's degree in machine learning, computer science, mathematics, statistics or related field.
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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.
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Experience with deep neural networks is an advantage but is not necessary, as these can be learned.
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Strong programming skills is necessary (open-source activities, for example a Github account with open-source projects, will be an asset)
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Documentation of English proficiency
Supervisors
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Associate Professor Benjamin Ricaud, benjamin.ricaud@uit.no contact person for inquiries about the position
Admission to the PhD programme at UiT
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