Ledig stilling på Universitetet i Oslo
Postdoctoral Research Fellow in Intelligent and Autonomous Edge Computing
Universitetet i Oslo
The 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.
About the position
Position as Postdoctoral Research Fellow in Intelligent and Autonomous Edge Computing available at the Networks and Distributed systems (ND) group, Department of Informatics, University of Oslo.
The position is within a project, funded by the Research Council of Norway, called AirQMan: Towards Cognitive and Autonomous Smart City Services: The Case of Low-Latency Air Quality Management. For further information about the project, please follow this link.
The fellowship is for a period of two (2) years and devoted to carrying out research in the context of the AirQMan project. The research is conducted in collaboration with three national partners, one research institute and two state agencies:
- Norwegian Institute for Air Research
- Municipality of Oslo: Agency for Urban Environment
- Municipality of Halden: Innovation and Smart City Section
No one can be appointed for more than one Postdoctoral Research Fellowship at the University of Oslo. Starting date preferably no later than February 1st 2023.
More about the position
Air quality (AQ) monitoring and management (AQMS) methods have been improved significantly both in Norwegian and European cities, but further progress is needed due to some quality-driven requirements, such as low-latency AQ prediction. This can only be achieved by intelligent data processing at multiple levels of granularity. To this end, effective and intelligent tools are needed that utilize the current advances in digitization of all spheres of society, providing radical innovation of air quality management. The AirQMan project promises autonomous computational methods and techniques to develop such solutions. It extends data processing and computational intelligence from the Cloud to multiple levels of Fog nodes towards the Edge of the network.
In particular, the project has the following main objectives:
1) developing a novel data processing design model that will autonomously determine the optimal data fusion processing flow, the right data sources, and the right trained deep learning (DL) model for maximizing the accuracy of AQ prediction; 2) predicting and maintaining the optimal distributed deployment over Edge-Cloud platforms for an efficient computation of the DL model while satisfying accuracy and latency requirements.
We are seeking a postdoctoral researcher who is interested in designing, developing, and evaluating techniques and frameworks related to the above. In particular, the selected candidate is expected to conduct research on designing distributed deep learning models across the Edge-Cloud continuum considering quality of service requirements (e.g., latency), as well as on autonomous deployment and migration of data processing tasks over Edge-Cloud in a highly self-aware manner.Additionally, it is expected that the researcher actively contributes to the coordination of collaboration between all partners contributing to AirQMan, including supervision of PhD candidates.
The main purpose of a postdoctoral fellowship is to provide the candidates with enhanced skills to pursue a scientific top position within or beyond academia. To promote a strategic career path, all postdoctoral research fellows are required to submit a professional development plan no later than one month after commencement of the postdoctoral period.
The Faculty of Mathematics and Natural Sciences has a strategic ambition is 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.
- Applicants must hold a PhD degree equivalent to a Norwegian doctoral degree in in Computer Science or in a related study, with excellent results and a clear profile in one or more of the following areas: Distributed Computing, Fog/Edge Computing, Machine Learning, and Service Computing.
- The candidate should have good analytical skills and programming knowledge in Python, C++ or Java.
- The evaluation considers many aspects of excellence, as well as the personal drive and organizational skills.
- Fluent oral and written communication skills in English.
- Doctoral dissertation must have been submitted for evaluation by the closing date. Only applicants with an approved doctoral thesis and defence are eligible for appointment.
- Salary NOK 544 400– 626 300 per year depending on qualifications in position as Postdoctoral Research Fellowship (position code 1352)
- Attractive welfare benefits and a generous pension agreement
- Professionally stimulating working environment
- Vibrant international academic environment
- Postdoctoral development programmes
- Oslo’s family-friendly surroundings with their rich opportunities for culture and outdoor activities
How to apply
The application must include:
- Application letter (max. 2 pages). Please describe your motivation for applying for this position and explain how your background, research, and experience is relevant to the project.
- CV summarizing education, positions, research experience, and other qualifying activities.
- Copies of educational certificates, academic transcript of records and letters of recommendation
- Up to 5 academic works that the applicant wishes to have considered in the assessment process
- A list of reference persons: 2-3 references (name, relation to candidate, e-mail and phone number).
The application with attachments must be delivered in our electronic recruiting system. Foreign applicants are advised to attach an explanation of their University's grading system. Please note that all documents should be in English (or a Scandinavian language).
In assessing applications, particular emphasis will be placed upon the academic and personal capacity of the candidate to contribute to the project within the given timeframe, to interact within national and international networks, and to be part of a dynamic research group. Interviews with the best qualified candidates will be arranged.
Please see the guidelines and regulations for appointments to Postdoctoral fellowships at the University of Oslo.
No one can be appointed for more than one Postdoctoral Fellow period at the University of Oslo.
According to the Norwegian Freedom of Information Act (Offentleglova) information about the applicant may be included in the public applicant list, also in cases where the applicant has requested non-disclosure.
The University of Oslo has an agreement for all employees, aiming to secure rights to research results etc.
The University of Oslo aims to achieve a balanced gender composition in the workforce and to recruit people with ethnic minority backgrounds.
For further information please contact:
- Professor Frank Eliassen, e-mail: [email protected] or
- Associate Professor Amir Taherkordi, e-mail: [email protected]
For technical questions regarding the recruitment system, please contact HR Adviser Therese Ringvold, e-mail: [email protected]