Doctoral student in Machine Learning for Reliable Quantum Computing Full-time

Doctoral Student In Machine Learning For Reliable Quantum Computing

Third-cycle subject: Computer Science

This doctoral project, funded within the Wallenberg AI, Autonomous Systems and Software Program (WASP), focuses on developing machine learning methods for reliable quantum computing. The project treats quantum noise and quantum error mitigation as problems in physics-informed, structured machine learning, with 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 Department of Computational Science and Technology in an international research environment and in close interaction with the WASP Graduate 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 doctoral student. Decisions are made on admission.

Admission Requirements

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:

• passed a second cycle degree (for example a master's degree), or
• completed course requirements of at least 240 higher education credits, of which at least 60 second-cycle higher education credits, or
• acquired, in some other way within or outside the country, substantially equivalent knowledge

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

Selection

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:

• independently pursue his or her work
• collaborate with others,
• have a professional approach and
• analyze and work with complex issues.
• Documented knowledge of quantum computing through relevant university-level courses or equivalent academic training is meritorious.
• Documented knowledge of machine learning methods through relevant university-level courses, research projects, or equivalent academic training is meritorious.

After the qualification requirements, great emphasis will be placed on personal skills.

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.

As a doctoral student, you are entitled to a workplace with many employee benefits and monthly salary according to KTH's Doctoral student salary agreement. Read more about Doctoral studies (PhD) | KTH | Sweden.