PhD Research Fellowships in Cloud Computing and Proactive Adaptation in Norway 2020

Deadline : 22 Mar 2020

State University: University of Oslo

Study level: Postgraduate

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PhD Research Fellowships in Cloud Computing and Proactive Adaptation in Norway 2020

University of Oslo, Norway announced a PhD Research Fellowship in Cloud computing and proactive adaptation at the Centre for Scalable Data Access (SIRIUS), Department of Informatics. The purpose of the fellowship is research training leading to the successful completion of a PhD degree. 

The main goal of the announced PhD position is to conduct research on supporting the proactive adaptation of Cloud applications. It will be achieved through the dynamic computation of utility functions based on the current and future state of the applications and their requirements given in the form of high-level policies. The high-level deployment policies must be combined and related to the operational constraints on the application to understand the user’s context-dependent utility and predict how this will evolve over time. To this end, advanced forecasting methods such as stochastic reinforcement learning techniques should be used to achieve the most accurate predictions.

About the Program:

The position is in the context of a new project, funded by the European Commission within the Horizon 2020 program, called MORPHEMIC: Modelling and Orchestrating heterogeneous Resources and Polymorphic applications for Holistic Execution and adaptation of Models In the Cloud.

The fellowship period is 3 years and devoted to carrying out research in the context of the MORPHEMIC project. The research is conducted in collaboration with the other 11 partners of the project throughout Europe, both from academia and industry.

No one can be appointed for more than one PhD Research Fellowship period at the University of Oslo. Starting date as soon as possible.

Qualifications:

The 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 equivalent in Computer Science.
  • Foreign degrees (M.Sc.-level) must correspond to a minimum of four years in the Norwegian educational system.
  • Applicants must also be able to demonstrate an interest in scientific research.
  • The evaluation considers many aspects of excellence, as well as personal drive and organizational skills.
  • The ideal candidate for the position must have a strong background in distributed computing, machine learning, and optimization.
  • It is desirable that the candidate has good knowledge about the MELODIC platform and the CAMEL modeling language.

Grade requirements:

The norm is as follows:

  • 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
  • Fluent oral and written communication skills in English; mastering a Scandinavian language will be considered an advantage.

Benefits:

  • Salary NOK 479,600 – 523,200 per annum depending on qualifications and seniority as PhD Research Fellow.
  • Attractive welfare benefits and a generous pension agreement.
  • Vibrant international academic environment.
  • Career development programs.
  • Oslo’s family-friendly surroundings with their rich opportunities for culture and outdoor activities.

About University of Oslo:

It was founded in 1811, is the oldest university in Norway, located in the Norwegian capital of Oslo. Until 1 January 2016, it was the largest Norwegian institution of higher education in terms of size. The university has approximately 27,700 students and employs around 6,000 people.

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Host Country: Norway

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