PhD Research Fellow in the Information-Flow Analysis for Digital Twins

Job title:

PhD Research Fellow in the Information-Flow Analysis for Digital Twins

Company

Universitetet i Oslo

Job description

PhD Research Fellow in the Information-Flow Analysis for Digital TwinsAbout the positionPosition as PhD Research Fellow in information-flow analysis for digital twins using programming language theory is available at the Department of Informatics.No one can be appointed for more than one PhD Research Fellowship period at the University of Oslo. Starting date no later than October 1, 2025.The fellowship period is three (3) years.An extension of the appointment by up to twelve months may be considered, which will be devoted to career-enhancing compulsory work duties, e.g. teaching or supervision. This will be dependent on the qualifications of the applicant and the specific teaching needs of the department.Job descriptionThis position is funded by the Department of Informatics and will be part of the collaboration between the Reliable Systems (PSY) research group, which works in formal methods, programming language theory and digital twins, and the Data and Knowledge Management (DKM) research group, which works in sematic technologies. Both groups have a dynamic and interactive working environment with good gender balance, consisting of full-time professors, researchers, and many postdocs and PhD candidates.Information-flow analysis is a technique that can be used to keep track of the flow of information within a system to ensure that the information is properly used ac-cording to some established policy or contract, giving the opportunity to identify e.g., unauthorized access to sensitive data that has potential to harm an individual, organization, or government. Access control to sensitive data, which determine who can access such sensitive data, typically requires measurements related to privacy and security because the disclosure or misuse or sensitive data could potentially lead to risks such as identity theft, financial loss, reputational damage, or legal consequences.A digital twin is a virtual representation of a system that is continuously updated with real-time data to simulate, predict, or analyse the performance or behaviour of the twinned system. Digital twins rely heavily on data to maintain its operations, this includes both real-time data and historical data, some of which can be highly sensitive.The planned PhD research topic will explore techniques to handle sensitive data (such as information-flow analysis) in digital twins. To explore and investigate this topic, the project will combine formal methods, programming language theory and semantic technologies, aiming to develop systematic techniques for sensitive data handling that can be integrated within a digital twin framework, e.g., a digital twin for a hospital, handling personal data according to GDPR. The PhD project aims at demonstrating the results by either a theoretical framework or in an experimental proof of concept that can be integrated to the existing digital twin framework SMOL ( ).Qualification requirementsThe Faculty of Mathematics and Natural Sciences has a strategic ambition to be among Europe’s leading communities for research, education and innovation. Candidates for these fellowships will be selected in accordance with this, and expected to be in the upper segment of their class with respect to academic credentials.

• Master’s degree or equivalence in a relevant field of computer science or informatics for this position, such as programming language theory, formal methods or semantic technology.
• A solid documented background in theoretical computer science is required
• Foreign completed degree (M.Sc.-level) corresponding to a minimum of four years in the Norwegian educational system
• Fluent oral and written English communication skills

Candidates without a master’s degree have until 30 June 2025 to complete the final exam.Desired qualifications:

• Good knowledge in programming language theory, algorithms, distributed systems and logic
• Experience with language-based techniques for information-flow analysis or access control, formal methods or semantic technologies will be considered an ad-vantage when candidates are ranked

Grade requirements:

• The average grade point for courses included in the Bachelor’s degree must be C or better in the Norwegian educational system
• The average grade point for courses included in the Master’s degree must be B or better in the Norwegian educational system
• The Master’s thesis must have the grade B or better in the Norwegian educational system

Language requirements:

• Fluent oral and written communication skills in English

English requirements for applicants from outside of EU/EEA/EFTA countries and exemptions from the requirements:The purpose of the fellowship is research training leading to the successful completion of a PhD degree. For more information see:Personal skills

• Strong analytical skills
• Independent thinking, creativity and good at taking initiative
• Good communication and interpersonal skills

We offer

• Salary NOK 536 200 – 575 400 per year depending on qualifications and seniority as PhD Research Fellow (position code 1017).
• Attractive

and a generous pension agreement * Vibrant international academic environment
. * Oslo’s family-friendly surroundings with their rich opportunities for culture and outdoor activitiesInclusive worklife and diversity at UiOInclusion and diversity are a strength. The University of Oslo has a personnel policy objective of achieving a balanced gender composition. Furthermore, we want employees with diverse professional expertise, life experience and perspectives.If there are qualified applicants with disabilities, employment gaps or immigrant background, we will invite at least one applicant from each of these categories to an interview.We hope that you will apply for the position.More information about gender equality initiatives at UiO can be foundHow to applyThe application must include:

• Cover letter – statement of motivation and research interests
• CV (summarizing education, positions and academic work – scientific publications)
• A statement of research interests indicating why this PhD topic fits their inter-est/background is required. The statement should not exceed one page
• Copies of the original Bachelor and Master’s degree diploma, transcripts of records
• Documentation of English proficiency
• List of publications and academic work that the applicant wishes to be considered by the evaluation committee
• Names and contact details of 2-3 references (name, relation to candidate, e-mail and telephone number)

When applying for the position, we ask you to retrieve your education results from . If your education results are not available through Vitnemålsportalen, we ask you to upload copies of your original transcripts or grades. Please note that all documentation must be in English or a Scandinavian language. Foreign applicants should attach an official explanation of their University’s grading system.The application with attachments must be delivered in our electronic recruiting system (please follow the link “Apply for this job”).General informationThe best qualified candidates will invited for interviews.Applicant lists can be published in accordance with § 25. When you apply for a position with us, your name will appear on the public applicant list. It is possible to request to be excluded from this list. You must justify why you want an exemption from publication and we will then decide whether we can grant your request. If we can’t, you will hear from us.Please refer to (Norwegian), (Norwegian) andThe University of Oslo has a with all employees that is intended to secure the rights to all research results etc.Contact personsFor further information please contact Associate Professor Silvia Lizeth Tapia Tarifa, e-mail: sltarifa@ifi.uio.no, phone: +4722840852.For questions regarding the recruitment system Jobbnorge, please contact HR Adviser Therese Ringvold, e-mail: therese.ringvold@mn.uio.noUniversity of OsloThe University of Oslo is Norway’s oldest and highest rated institution of research and education with 28 000 students and 7000 employees. Its broad range of academic disciplines and internationally esteemed research communities make UiO an important contributor to society.The Department of Informatics (IFI) is one of nine departments belonging to the Faculty of Mathematics and Natural Sciences. IFI is Norway’s largest university department for general education and research in Computer Science and related topics.The Department has more than 1800 students on bachelor level, 600 master students, and over 240 PhDs and postdocs. The overall staff of the Department is close to 370 employees, about 280 of these in full time positions. The full time tenured academic staff is 75, mostly Full/Associate Professors.

Expected salary

536200 – 575400 per year

Location

Oslo

Job date

Fri, 31 Jan 2025 23:00:17 GMT

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