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Project Description

Research Subject: Computer Science

This PhD project, funded within the Wallenberg AI, Autonomous Systems and Software Program (WASP), focuses on developing machine learning methods for reliable quantum computing. The project addresses quantum noise and quantum error reduction as problems within physics-informed, structured machine learning, with a particular emphasis on learning error processes from limited, noisy measurement data. The overall goal is to develop scalable and robust models that improve the reliability of quantum algorithms in cryptography, optimization, and quantum chemistry. The work will be carried out at KTH's School of Computer Science and Communication in an international research environment and in close collaboration with the WASP PhD school. We are looking for candidates with a strong background in computer science, quantum computing, machine learning, engineering physics, or a related field.

Supervision: Stefano Markidis is proposed to supervise the PhD student. The final decision will be made upon admission.

Eligibility for Admission

To be admitted to the doctoral programme (Chapter 7, Section 39 of the Higher Education Ordinance), the applicant must have basic eligibility:

• completed a master's degree, or
• completed course requirements of at least 240 higher education credits, of which at least 60 credits are at the advanced level, or
• acquired substantially equivalent knowledge in some other way, either in Sweden or abroad.

In addition to the above, there is also a mandatory requirement for English equivalent to English B/6.

Selection

To succeed in your doctoral studies at KTH, you need to be goal-oriented and persistent in your work. When selecting applicants, the ability to:

• drive your work forward independently,
• collaborate with others,
• maintain a professional attitude, and
• analyze and work with complex issues.
• documented knowledge in quantum computing through relevant university courses or equivalent academic training is meritorious.
• documented knowledge of machine learning methods through relevant university courses, research projects, or equivalent academic training is meritorious.

After the eligibility requirements, great weight will be placed on personal qualities.

Target Degree: PhD Degree

Information on Admission and Employment

Only those admitted to the doctoral programme may be employed as PhD students. The total employment period must not exceed the equivalent of full-time doctoral education for four years. An employed PhD student may, to a limited extent (maximum 20%), perform certain tasks within education and administration. A new employment as a PhD student is valid for a maximum of one year; thereafter, the employment may be renewed for a maximum of two years at a time.

As a PhD student, you will receive KTH's employment benefits and have a monthly salary according to KTH's agreement for PhD salaries. Read more about Doctoral Studies at KTH | KTH | Sweden.

Union Representatives

Contact details for union representatives.

PhD Section (KTH Student Union)

Contact details for the PhD section.

Application

You apply via KTH's recruitment system. As an applicant, you are primarily responsible for ensuring that your application is complete when submitted.

The application must include the following:

• Copies of degree certificates and transcripts from previous university studies and certificates of fulfilled language requirements (see above). Translations into English or Swedish if the original document was not issued in one of these languages. Copies of originals must be certified.
• CV with relevant professional experience and skills.
• Cover letter with a brief description of why you wish to pursue doctoral studies, your academic interests, and how they relate to your previous studies and future goals. (Max 2 pages)
• Representative publications or technical reports. For longer documents, please attach a summary (abstract) and a web link to the full text.

The application must be received by KTH no later than midnight on the last application day, CET/CEST (Central European Time/Central European Summer Time).

Other

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It may occur that an employment at KTH is classified under security clearance. If this is the case for this specific employment, a security check of the applicant will be carried out in accordance with the Security Protection Act (2018:585) upon consent. In these cases, a prerequisite for employment is that the applicant is approved after the security check.

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