Job description

Position as Researcher in Intelligent Fog/Edge Computing available at the Networks and Distributed systems (ND) group, Department of Informatics.

The position is within project DILUTE (Fluid Service Abstraction for Large-Scale Cloud IoT Systems), funded by the Research Council of Norway. Further information about the project is available at: www.dilute.no

The employment is for a period of 16 months (with the possibility to be extended to 18 months) and devoted to carrying out research in the context of the DILUTE project. The research is conducted in collaboration with other three European partners of the project both from academia and industry, including:

• Distributed Systems Group (DSG) at Technical University of Vienna, Austria
• ADLINK, France
• RISE Research Institutes of Sweden

Starting date preferably no later than 01.01.2022.

More about the position

By 2025 there will be nearly 75 billion Internet addressable devices, Internet of Things (IoT), which translates into an annual economic impact of $3.9 trillion to $11.1 trillion by 2025 across many different settings, including factories, cities, retail environments, and the human body, according to McKinsey Global Institute. IoT and Cloud integration will enable development of large-scale IoT applications, such as smart cities, energy, health, etc. Moreover, due to requirements such as mobility support, location-awareness and low latency, the cloud has been recently extended to the edge of the network—Fog Computing. Developing large-scale IoT applications using cloud and edge/fog computing resources is challenging because it requires intelligent and distributed software design and development solutions that match highly dynamic and heterogeneous resources at different levels of the network hierarchy from IoT devices to edge devices and the Cloud. DILUTE is aimed to address this challenge.

We are seeking a 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 fog/edge-level dynamic software service distribution, composition, and predictive migration based on resource availability, network dynamicity, and future application needs. Additionally, it is expected that the researcher actively contribute to the coordination of collaboration between all partners contributing to DILUTE, including supervision of PhD-candidates.

Qualification requirements

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 several of the following: Distributed Computing, Internet of Things (IoT), Fog/Edge Computing, Data Intensive Computing, and Machine Learning. The thesis must have been submitted before application deadline and approved and defended before the candidate can start in the position.
• Fluent oral and written communication skills in English.

We offer

• salary NOK 526 000 – 615 800per annum depending on qualifications in position as Researcher (position code 1109)
• a professionally stimulating working environment
• vibrant international academic environment
• attractive welfare benefits and a generous pension agreement, in addition to Oslo’s family-friendly environment with its 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, academic work – list of scientific publications, pedagogical experience, administrative experience and other qualifying activity)
• 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
• Names and contact details of 2-3 references (name, relation to candidate, e-mail and telephone 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.

It is expected that the successful candidate will be able to complete the project in the course of the period of employment.

Formal regulations

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.

Contact information

For further information please contact:

• Professor Frank Eliassen, frank@ifi.uio.no or
• Associate Professor Amir Taherkordi, amirhost@ifi.uio.no

For technical questions regarding the recruitment system, please contact HR Adviser Torunn Standal Guttormsen, phone: +4722824272,e-mail: t.s.guttormsen@mn.uio.no.

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