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Third-cycle subject: Computer Science
Generative models will revolutionize many industries and professions, with applications like programming assistants already in use. This raises a need for reliable and automated metrics that measure, for example, method robustness and appropriateness. Understanding quality is particularly crucial in domains less intuitive to the average user than images and text, which might require expert evaluation of each generated sample. Currently, only a few automated metrics exist, and their correlation with human judgment is debatable.
This project aims to design and evaluate reliable and aligned automated metrics for generative models trained on content in domains relevant to the gaming industry. The development of computer and mobile games needs the creation content such as animations, sound effects, and dialogue. The growing demand for a continuous stream of new content, coupled with the availability of user-generated content, has raised the interest in machine learning-driven solutions for automatic content generation. Such domain-specific metrics are highly needed for model development in the gaming industry to enable more rigorous testing and comparison between models.
Supervision: Professor Hedvig Kjellström (co-supervisor from SEED)
To be admitted to postgraduate education (Chapter 7, 39 § Swedish Higher Education Ordinance), the applicant must have basic eligibility in accordance with either of the following:
In addition to the above, there is also a mandatory requirement for English equivalent to English B/6.
In order to succeed as a doctoral student at KTH you need to be goal oriented and persevering in your work. During the selection process, candidates will be assessed upon their ability to:
After the qualification requirements, great emphasis will be placed on personal competency.
Target degree: Doctoral degree
Only those admitted to postgraduate education may be employed as a doctoral student. The total length of employment may not be longer than what corresponds to full-time doctoral education in four years ' time. An employed doctoral student can, to a limited extent (maximum 20%), perform certain tasks within their role, e.g. training and administration. A new position as a doctoral student is for a maximum of one year, and then the employment may be renewed for a maximum of two years at a time. In the case of studies that are to be completed with a licentiate degree, the total period of employment may not be longer than what corresponds to full-time doctoral education for two years.
Contact information for union representatives.
Contact information for doctoral section.
Apply for the position and admission through KTH's recruitment system. It is the applicant’s responsibility to ensure that the application is complete in accordance with the instructions in the advertisement.
Applications must be received at the last closing date at midnight, CET/CEST (Central European Time/Central European Summer Time).
Applications must include the following elements:
Striving towards gender equality, diversity and equal conditions is both a question of quality for KTH and a given part of our values.
For information about processing of personal data in the recruitment process.
The position may include security-sensitive activities. To become authorized, you therefore need to pass a possible security check.
We firmly decline all contact with staffing and recruitment agencies and job ad salespersons.
Disclaimer: In case of discrepancy between the Swedish original and the English translation of the job announcement, the Swedish version takes precedence.
Type of employment | Temporary position |
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Contract type | Full time |
First day of employment | According to agreement |
Salary | Monthly salary according to KTH's doctoral student salary agreement |
Number of positions | 1 |
Full-time equivalent | 100% |
City | Stockholm |
County | Stockholms län |
Country | Sweden |
Reference number | J-2024-1621 |
Contact |
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Published | 10.Jun.2024 |
Last application date | 27.Jun.2024 |