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Project description
Third-cycle subject: Applied and Computational Mathematics, specialization: Mathematical Statistics.
The Department of Mathematics invites applications for a PhD position in mathematics for artificial intelligence (AI), specifically the theory for learning algorithms and deep learning. The topic lies at the intersection of probability, analysis and AI, with an emphasis on probability theory. The project is funded by WASP, the candidate will be part of the WASP cluster AI/Math. Methods for machine learning, particularly deep learning, are now ubiquitous in many application areas. However, a satisfying understanding of underlying mathematical principles is lacking. The project will contribute to such an understanding and build towards a theory for learning algorithms and deep learning using tools from probability, statistical physics, PDEs and gradient flows. More broadly the aim is to investigate the role of stochastic control and stochastic analysis in AI.
For more information about the project read more here.
Supervision: The doctoral student will be supervised by: Assoc. Prof. Pierre Nyuqist.
What we offer
Eligibility
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:
The special requirements for the doctoral program are studies on the advanced level with specialization in mathematics, applied mathematics or computational mathematics.
Selection
In order to succeed as an doctoral student at KTH you need to be goal oriented and persevering in your work.During the selection process, candidates will be assed upon their ability to:
In addition to the traditional academic merits, a relevant degree project and international experience are regarded as advantageous qualifications.
After the qualification requirements, great emphasis will be placed on personal qualities and personal suitability.
Target degree: Doctoral degree.
Information regarding admission and employment
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.
Union representatives
You will find contact information for union representatives on KTH's website.
Doctoral section (Students’ union on KTH Royal Institute of Technology)
You will find contact information for doctoral section on the section's website.
Application
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/entral European Summer Time).
Applications must include the following elements:
Other information
Gender equality, diversity and zero tolerance against discrimination and harassment are important aspects of KTH's work with quality as well as core values in our organization.
For information about processing of personal data in the recruitment process please read here.
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 | August 1st or according to the 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 | S-2020-0127 |
Contact |
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Published | 13.Feb.2020 |
Last application date | 08.Mar.2020 11:59 PM CET |