The University of Agder has more than 1200 employees and 12000 students. This makes us one of the largest workplaces in Southern Norway. Our staff research, teach and disseminate knowledge from a variety of academic fields. Co-creation of knowledge is our common vision. We offer a broad range of study programmes in many fields. We are situated at two modern campuses in Kristiansand and Grimstad respectively.

We are an open and inclusive university marked by a culture of cooperation. The aim of the university is to further develop education and research at a high international level.

PhD Research Fellow in ICT

The University of Agder invites applications for one fixed-term appointment as a PhD Research Fellow in Information and Communication Technology for a period of three years. This position is currently located in Grimstad, Norway. The starting date is as soon as possible or to be negotiated with the Faculty.


The herein announced position will be part of a recently established Lab, namely, the Intelligent Signal Processing & Wireless Networks (WISENET) Lab, led by Prof. Baltasar Beferull-Lozano, and whose activities span across both the Department of Information and Communication Technology and the Department of Engineering. The WISENET Lab has a strong expertise in a range of areas, among them, Data Analytics, In-Network Processing and Distributed Intelligence, Wireless Communications, Networked Cyber-Physical Systems and Embedded Systems, having led a number of large research projects, funded by the Research Council of Norway, the EU research Programmes FP7 and H2020, as well as national and international industries. The WISENET Lab is now in full expansion phase, having at the present seven PhD students, three postdoctoral researchers, working on different cutting edge research projects, such as FRIPRO TOPPFORSK, SFI, PETROMAKS and INFRASTRUCTURE Projects, among others. The WISENET Lab is committed to achieving international research excellence, please see the notes about prospective PhD students at WISENET before applying.


The open PhD position will be offered in the areas Distributed Intelligence and Data Analytics, advancing both theoretical aspects and algorithm designs, and considering also applications in industrial distributed monitoring and control applications, by participating in highly interdisciplinary research projects.

Research topics for PhD project


Large-scale heterogeneous sensor networks and cyber-physical networked systems deployed over different types of industrial processes are becoming a technological cornerstone for many important applications in today’s society. These collections of devices capable of sensing, data processing and communication, are emerging as a new era of intelligent information-driven paradigms. On the other hand, the deployment of these networked systems in several industrial environments is generating tremendous streams of daily data in various formats and qualities, which describe the operation, condition, performance and status of a wide range of equipment and processes. This represents not only an additional large volume of data to explore and the need for more efficient and scalable data analysis methods, but also raises additional challenges on real-time stream data processing, distribution, storage and machine learning methods considering both centralized and decentralized Big Data Analytics.


Your research will investigate analytical methods that aggregate the information from different machinery and industrial components at different levels, exploit their correlated behaviors, utilizing novel methods for data mining and signal processing to predict and detect events in relevant (sequential or in-loop) processes. This research is motivated by the demanding needs in several industrial environments, such as offshore Oil & Gas Platforms or Digital Factories. In such environments, there are often time series of data at different sensor locations that are noisy, corrupted or incomplete (i.e some sensor measurements are not available) for different reasons.  The research will also contribute to the emerging field of Graph Signal Processing, where the time-series of data at different locations are modeled as inter-linked with each other through so-called “graph filters”, which can capture efficiently space-time dependencies as compared to previous work, as well as analyzing how these new data-driven methods can be used to model and optimize different processes.


The main topics for the PhD positions will be:  

  • joint graph signal matrix completion and space-time dependence learning for data recovery of time series at multiple locations
  • distributed in-network intelligence to perform localized event prediction, anomaly detection, pattern feature extraction and decentralized learning across multiple machinery components
  • hyper-graph signal processing, statistical signal processing over hyper-graphs in order to capture more complicated dependencies
  • online methods and fundamental limits for non-stationary time series compression relying on graphical models, hidden Markov models, Gaussian processes, and autoregressive integrated moving average models
  • kernel-based learning for multivariate time-series prediction, interpolation, and classification
  • data cleansing and outlier rejection techniques for sensor failure detection in industrial environments



To be regarded as an eligible applicant, the candidate must have:

  • a solid academic background with an MSc in ICT (or related) is required. Students finishing the Master within the recruitment process may apply for this PhD position
  • substantial knowledge of all or most of the following:
    • optimization techniques
    • digital signal processing
    • stochastic processes, statistical signal processing
    • algebra
    • programming in Matlab, C/C++ and Python
    • data acquisition systems in Industrial environments

Moreover, it would be considered an advantage to have any additional knowledge and experience in:

  • machine Learning techniques, especially in dimensionality reduction, nonparametric regression and classification
  • estimation and detection theory and methods
  • big data analytics
  • graph theory and graph signal processing

Candidates should also have:

  • scientific ambition
  • motivation and strong interest in cutting-edge research
  • good analytical and problem solving skills
  • good team-working skills, inventiveness and a proactive attitude

The participation in national or international projects related to these areas will be also considered as a plus.


In return, we offer the opportunity to contribute to the strategic capabilities of a world-class research organization, along with intensive PhD supervision. You will collaborate with top scientists in your field and have excellent prospects for personal development in an innovative working environment for aspiring researchers.


The PhD Research Fellow must be also admitted to a PhD Programme in Information and Communication Technology, within three months of appointment. More information about the programme and a complete list of admission requirements can be found here


The following admission requirements (established by UiA) apply to the PhD Program:

  • the average grade for courses included in the master's degree (or equivalent) must be B (or equivalent) or higher
  • the Master Thesis (or equivalent) must have a grade B (or equivalent) or higher when the candidate is admitted to the PhD program

Further provisions relating to the position as PhD Research Fellow can be found in the Regulations Concerning Terms and Conditions of Employment for the Post of Post-doctoral Research Fellow, Research Fellow, Research Assistant and Resident.


Applicants from some countries must document their English proficiency through one of the following tests or certificates:

  • TOEFL – Test of English as a Foreign Language with a minimum score of 550 on the Paper-based Test (PBT), or a minimum of 80 on the Internet based Test (iBT)
  • IELTS – International English Language Testing System, with a result of at least 6.0
  • CEFR (Common European Framework of Reference for Languages) certificate of at least Level B2

Please check this website to see if an English test is required. Please note that the English test requirement applies to applicants from most countries according to the list mentioned above. No other English tests or certificates will be approved, and certifications/statements cannot replace an English test.


Short-listed applicants will be invited for interviews. With the applicant’s permission, UiA will also conduct a reference check before appointment.



The positions are remunerated according to the State salary scale, salary plan 17.515, code 1017, salary NOK 435 500 gross per year. A 2 % compulsory pension contribution to the Norwegian Public Service Pension Fund is deducted from the pay according to current statutory provisions.


The Norwegian public service is committed to reflecting the diversity of society, and the personnel policy of the University of Agder aims to achieve a balanced workforce. All qualified persons are therefore encouraged to apply for the position, irrespective of cultural background, gender, age or disability.


Women are especially encouraged to apply.


Appointment is made by the University of Agder’s Appointments Committee for Teaching and Research Positions. The successful applicants will have rights and obligations in accordance with the current regulations for the public service.



Submit your application and CV online. Please click on the link “Apply for this job”.  The following documentation should be submitted as attachments to the online application:

  • Certificates and/or grades for all post-secondary education, up to and including the bachelor's level
  • Master's degree/higher degree certificate, with a summary of the courses/subjects included in the degree
  • Applicants with a foreign higher education must attach an official description of the grading system used at the issuing institution
  • Summary (approximately 1-2 pages) of the Master Thesis (if applicable)
  • Applicants who are required to document their English proficiency must submit their TOEFL or IELTS test results (these may be forwarded after the closing date) or their CEFR certificate
  • Summary or links to the applicant's scientific/technical publications (if any) and in addition, a hard copy of them should be sent by post (if any)
  • A description of the candidate’s research interests, motivation and background for the project applied for

The applicants are fully responsible for submitting complete documentation. Without complete documentation we cannot, unfortunately, include you in the assessment process.

Closing date: 27.04.17


For further information please contact Assoc. Professor Daniel Romero, email , tel. +47 37 23 31 96, Professor Baltasar Beferull-Lozano, email , tel. +47 37 23 31 59 or Head of Department, Folke Haugland, tel. +47 37 23 32 20, email


In accordance with §25(2) of the Freedom of Information Act, applicants may request that they are not identified in the open list of applicants. The University, however, reserves the right to publish the name of applicants. Applicants will be advised of the University’s intention to exercise this right.


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Om stillingen

  • Søknadsfrist
    27. april 2017
  • Arbeidsgiver
    Universitetet i Agder
  • Nettside
  • Kommune
  • Jobbnorge-ID
  • Intern-ID
    Ref. 33/17
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