Call for PhD student in Networks Department on mobile data analytics

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About SimulaSimula Research Laboratory AS is a publicly owned research institute located outside Oslo, Norway. We are a multi-cultural organization, employing about 144 individuals from 29 countries. Simula conducts ICT research in the fields of communication technology, scientific computing and software engineering, with the main objective of generating new understanding and creating vital knowledge about fundamental scientific challenges that are of genuine value to society. This is achieved through high quality research, education of graduate students, industry collaboration, technology transfer and commercialization.Project DescriptionCentre for Resilient Networks and Applications (CRNA) at Simula focuses on robustness and security of ICT infrastructures. This implies research on networks and applications with the aim of making them resilient with respect to failures and changing environment. The Networks department works on resilience in communication networks and applications from a measurement perspective, through prototyping and through theoretical studies.We are looking for a full time Ph.D. student in the Networks department of the CRNA. The successful candidate will be involved in `Modeling Mobile Broadband Networks- (MEMBRANE) project funded by Norwegian Research Council. MEMBRANE focuses on machine learning approaches and proposes to develop models that can capture the relationship between the performance and reliability parameters and the underlying network factors that affect them. Hence, revealing the key factors that are required to accurately describe and predict the performance and reliability of mobile networks in general and mobile video in particular.The project will be led by Dr. Özgü Alay in close collaboration with research groups at New York University, USA (Prof. Yao Wang), IMDEA Networks, Spain (Prof. Joerg Widmer) and University of Thessaly, Greece (Prof. Antonios Argyriou). Research visits to these groups are expected during the project. Upon successful completion, The Ph.D. degree will be awarded by University of Oslo. ResponsibilitiesThe Ph.D. position is for three years and the successful candidate is expected to:- Design and execute a set of experiments to measure the performance and reliability parameters of MBB networks- Analyze the data collected from the experiments using statistical and data analytics tools- Derive machine-learning based models using the collected measurement data in order to capture the network characteristics of MBB networks and further extend these models to consider the performance of mobile video Your ProfileInterested applicants should:- Hold a Master degree in Computer Science, Electrical Engineering or related fields- Have a solid background on networking and communications systems- Have experience with machine learning and statistics through course/project work- Have experience with machine learning tools and libraries- Have experience with Linux and scripting languages- Familiarity with mobile networks and mobile video- Demonstrate excellent level of spoken and written English- Possess good interpersonal skills and show willingness to work as part of an international team Simula Offers-Excellent opportunities for doing high quality research, as part of a highly competent and motivated team of international researchers. -Nice office facilities located close to the Oslo fjord and 10 minutes drive from the centre of Oslo.-An informal and including working environment. -A competitive salary.-Simula strives to achieve a good balance between male and female employees, and women are particularly encouraged to apply. Application RequirementsInterested applicants are encouraged to submit the following:-Cover letter explaining the candidate''s background, qualifications and research interests-Curriculum vitae (summarizing education, positions and academic work - scientific publications)-Names and contact details of 2-3 references (name, relation to candidate, e-

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source: https://www.ec.europa.eu/eures

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