Norwegian version

PhD fellowship in quantum computing, optimization on noisy gate-based NISQ platforms

Oslo Metropolitan University is Norway's third largest university with 23,000 students and over 2,600 employees. We have campuses in central Oslo and at Romerike. OsloMet educates students and conducts research that contributes to the sustainability of the Norwegian welfare state and the metropolitan region.

About the position

Oslo Metropolitan University is Norway's third largest university with 23,000 students and over 2,600 employees. We have campuses in central Oslo and at Romerike. OsloMet educates students and conducts research that contributes to the sustainability of the Norwegian welfare state and the metropolitan region. The Faculty of Technology, Art and Design (TKD) offers higher education and research and development (R&D) activities within technical subjects, arts and design. The Faculty has approximately 4.000 students and 400 staff members and is situated at Pilestredet Campus in downtown Oslo and at Kjeller Campus in Akershus. The Department of Computer Science offers four bachelor’s degree programmes, a master’s degree programme, and is part of a cross-departmental PhD program. Academic staff at the department are pursuing research in a wide range of areas including computer science, the natural sciences, and innovation and management. Both students and researchers are also involved in an increasing number of interdisciplinary initiatives across the university. 

At the Department of Computer Science, we are offering a PhD fellowship position. This position is a part of the recently established Norwegian Quantum Software Centre (NorQSoft) and the OsloMet Quantum Hub. 

The scope of the NorQSoft Centre, which is hosted by Simula Research Laboratory and has OsloMet as one of its core partners, spans foundational research on quantum application software, the full quantum software stack, and quantum artificial intelligence. The aim is to pioneer quantum software technologies with real-world relevance by developing the necessary foundations, implementing them in prototype tools, and validating their feasibility and cost-effectiveness through academic and industrial case studies. The centre will also establish a world-class QC education program to lower entry barriers and train the next generation of professionals. 

Main duties and areas of responsibility 

The successful applicants’ primary duty is to carry out and publish research within their research project. This research will be performed in close collaboration with the main supervisors – in addition to other staff members at the department, Simula Research Laboratory and other NorQSoft members.

It is also expected that the candidates contribute actively to the QC-related activity at SoloMet and NorQSoft centre. This could, e.g., involve giving seminars at summer/winter schools and public dissemination work. The candidates are also expected to present research findings at international conferences and workshops.

Project description

Many proposed quantum algorithms for optimization, including the quantum approximate optimization algorithm (QAOA) and variational quantum-circuit approaches are formulated and analysed in the ideal unitary setting. On present-day noisy intermediate-scale quantum (NISQ) hardware, these methods can fail already for small problem instances because the implemented circuit is a noisy quantum channel rather than the intended unitary transformation. Increasing the number of physical qubits does not by itself solve this problem. 

This project will investigate how optimization and data-analysis tasks can be formulated and run on existing gate-based NISQ platforms under such constraints. The central aim is to identify approaches that remain useful when the hardware dynamics include decoherence, gate imperfections and measurement noise. One direction to be studied is quantum reservoir computing and related schemes, where the noisy many-qubit dynamics can be treated as part of the computational resource rather than as an error that must be fully removed.

The project will combine cloud-based quantum computation and cluster-based classical simulations. Candidate approaches will be compared using practical criteria such as circuit depth, number of entangling gates, sensitivity to gate errors, sampling cost and performance on small optimization and data-analysis benchmarks. The expected outcome is a set of methods and design principles for using current NISQ devices for optimization and data analysis, with emphasis on regimes where conventional variational circuits are not robust.

The position is advertised as a 3-year position with 100% research, or a 4-year position with 75% research and 25% other career-advancing work. The goal must be to complete the PhD program/degree within the decided time frame. The decision on a 3- or 4-year position will be discussed as part of the interviews in the hiring process.

Qualification requirements

It will be an advantage if you have: 

Personal qualities

We are looking for applicants who: 

Emphasis will be placed on personal suitability.

It is important to OsloMet to reflect the population of our region, and all qualified candidates are welcome to apply. We make active endeavours to further develop OsloMet as an inclusive workplace and to adapt the workplace if required. You are also welcome to apply for a position with us if you have experienced periods where you have not been in work, education or training.

We offer

Application process 

If you wish to apply for the position, you must do so through our recruitment system. 

As an applicant, you will be assessed by an expert committee. Before the application documents are sent to the expert committee, all applications will be reviewed by the faculty. Applications from unqualified candidates will not be forwarded to the expert committee for assessment. If the number of applications requires it, an internal screening committee at OsloMet will carry out an initial selection of candidates. The selected applicants will then be assessed by the expert committee.

Please upload the following documents together by the application deadline: 

We only consider applications submitted through our electronic recruitment system, and all required documents must be uploaded for your application to be considered. The documents must be written in a Scandinavian language or English. Translations must be authorized, and you will be asked to present originals if you are invited for an interview. OsloMet verifies documents to give candidates a proper evaluation and to ensure fair competition. Incomplete applications will not be considered.  

For relevant positions, OsloMet conducts background checks of applicants in cooperation with an external provider, in order to verify information contained in available documents. Background checks are always carried out with the candidate’s consent, and employment in these positions is conditional upon an approved background check. Relevant applicants will receive further information about this. 

Other information

OsloMet holds the EU certification HR Center of Excellence for Charter & Code supporting researchers in career development, mobility and employee rights.  

OsloMet has signed The Declaration on Research Assessment. DORA recognizes the need to improve the ways in which the outputs of scholarly research are evaluated.  

The engagement is to be made in accordance with the regulations in force concerning State Employees and Civil Servants, and the acts relating to Control of the Export of Strategic Goods, Services and Technology. Candidates who are seen to be in conflict with the criteria in the latter law will not be considered for the position.  

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About us

Oslo Metropolitan University is Norway's third largest university with 23,000 students and over 2,600 employees. We have campuses in central Oslo and at Romerike. OsloMet educates students and conducts research that contributes to the sustainability of the Norwegian welfare state and the metropolitan region.

For over 200 years, OsloMet – Oslo Metropolitan University has contributed to building knowledge and competence for the Norwegian welfare society. Today, OsloMet is a modern and urban university known for its large and robust academic environments in teacher education, health and social sciences, social research, design, and technology.