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, Faculty of Engineering and Science, Department of Information and Communication Technology, invites applications for a four-year PhD position, with 75% of the time assigned to research and 25 % of the time assigned to complementary research and teaching activities. The position is located at the Campus Grimstad, Norway. The starting date is as soon as possible or to be negotiated with the Faculty.

 

The candidate will be working on an interdisciplinary research topic that covers both technological and social sciences-based aspects. Therefore, the PhD student will be jointly supervised by researchers from the Intelligent Signal Processing and Wireless Networks (WISENET) Lab at the Faculty of Engineering and Science and the Centre for Integrated Emergency Management (CIEM), Faculty of Social Sciences.


Brief Information about the WISENET Lab at University of Agder

 

The herein announced position will be part of the recently established Intelligent Signal Processing & Wireless Networks (WISENET) Lab, led by Prof. Baltasar Beferull-Lozano. The lab’s activities span across the Department of Information and Communication Technology and the Department of Engineering. The researchers in WISENET Lab have 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. We have led a number of large research projects, funded by the Research Council of Norway, the EU research Programs FP7 and H2020, as well as national and international industries. The WISENET Lab is now in rapid expansion, having at present seven PhD students and three postdoctoral researchers working on different cutting edge research projects, such as FRIPRO TOPPFORSK, SFI, PETROMAKS and INFRASTRUCTURE projects. The WISENET Lab is committed to achieving international research excellence; please see the notes about prospective PhD students at WISENET here before applying.

 

Information about why University of Agder provides an excellent environment for PhD studies and more about working at UiA.


Brief Information about the Centre for Integrated Emergency Management (CIEM) at University of Agder

 

The Centre for Integrated Emergency Management (CIEM) is a multi-disciplinary research centre at the University of Agder. The centre conducts research on the potential of information and communication technologies for improving the efficiency of emergency preparedness and management through integration of information from different data sources. To contribute to solving the challenges related to this, CIEM has established a team of 30 researchers from the domains of computer science, information systems and social science. These include leading experts in wireless sensor and communication networks, artificial intelligence, human-centered sensing, social media analytics, decision support, information management, and technology adoption and diffusion. CIEM focuses on global, national and local research problems, and collaborates with public and volunteer emergency responders, industry, and research groups in Norway and internationally. CIEM is involved in several EU research projects, and employs an increasing number of PhD students. The announced position will be related to the information systems research group in CIEM, which is affiliated with the Faculty of Social Sciences.

 

Research Topic – In-network Social Intelligence and Distributed Computation for Emergency Management

 

This research project will contribute to building a new generation of wireless intelligent sensor and communication networks with a direct connection between the social behavior and the technical aspects of the network internal functioning at the different layers. These networks and devices will be user-driven and have the autonomous capability to form highly adaptive and collectively intelligent node formations. They will adjust their operational parameters (from physical to network layer) according to their interaction with the environment, energy availability, security requirements, and communication needs established by users and devices in emergency scenarios.

 

The key idea is that there must be a social link of some type or a real-life circumstance that encourages users to join in mesh-type formations. We envision devices endowed with a native “social intelligence” that will allow them to create highly adaptive Device-to-Device (D2D) based meshes, ad-hoc or cluster topologies, where the needs of cooperation will be projected on the device operation functionalities. This research promotes the use of D2D communication in emergency management (prevention, crisis response, etc.) through exploiting the social behavior of the victims and involved entities in different emergency situations. Therefore, the research work for this position is an interdisciplinary research involving technical and social aspects.

 

The main research activity will focus on developing both fundamental theory and algorithms towards creating a native social in-network intelligence across all the layers, increasing substantially the effectiveness in emergency scenarios.

In addition to the theoretical and algorithm design work, this position will involve also social behaviour characterization of users (e.g. engagements between users, as well as between users and their associated devices) with different roles in emergencies. Such characterization includes aspects such as social connectivity correlation, among others. Furthermore, this position will investigate driving technological and algorithmic aspects by social considerations and vice versa, such as localization algorithms driven by social dynamics and attributes. Moreover, a techno-social iterative feedback loop between the social and technical aspects is required for both functionality proof and quantitative performance measures.

 

Requirements

 

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

  • A solid academic background with a MSc. in Electrical Engineering, Electronics Engineering, Communications Engineering, Industrial Engineering, ICT or equivalent, is required
  • Substantial knowledge of all or most of the following:
    • optimization techniques
    • stochastic processes and statistical signal processing
    • wireless networks
    • programming in Matlab, C/C++, and Java
  • Previous knowledge in data analytics, machine learning and mobile computing will be an important plus because these areas will be covered during this project. Additional experiences in social science and emergency management will be also a plus

Candidates should also have:

  • Scientific ambition
  • Motivation and strong interest in cutting-edge research
  • Good analytical and problem solving skills
  • Capacity for goal-oriented work and ability to concentrate
  • Good communication and team-working skills, inventiveness and a proactive attitude
  • Strong academic credentials, written and spoken English proficiency

The previous participation in national and European projects related to the areas of this position, will be also considered as a plus, as well as the publication of scientific papers on international conferences related to these topics.

 

In return, we offer the opportunity to contribute to the strategic capabilities of a world-class research organization, along with intensive 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.

 

Subject to a positive performance evaluation of the first year, the candidate must be also admitted to the PhD Program in Technology, with ICT as specialization, within the first three months of the second year. More information about the program and a complete list of admission requirements can be found here .

 

The following admission requirements apply to the PhD Program:

  • The average grade for courses included in the bachelor's degree (or equivalent) must be C (or equivalent) or higher
  • 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.

 

The successful applicant must have written and spoken English proficiency. 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. UiA will also conduct a reference check before appointment.

 

Remuneration

 

The positions are remunerated according to the State salary scale, salary plan 17.515, code 1017 Research Fellow, salary NOK 436 900 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.


Application

 

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:

  • Justification (maximum 5 pages) of the background of the candidate for each of the requirements of the position (see description above about the knowledge areas that a candidate should have), especially for optimization techniques, stochastic processes and statistical signal processing, wireless networks and programming in Matlab, C/C++, and Java
  • 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
  • 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 publications (if any)
  • A list with the names and contact information of reference persons who would be willing to be contacted by telephone

Original documents must be presented for verification to the University of Agder. Successful candidates will be asked, normally during the interview, to ensure that the issuing university submits documents in a sealed envelope directly to UiA or provide access to their documents online, which allows UiA to verify the authenticity of these electronic documents via a secure website hosted at the issuing university (contact person at UiA will be provided later for certain candidates).

 

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

 

Closing date: 29.01.18


For further information please contact Professor Baltasar Beferull-Lozano, tel. +47 37 23 31 59, e-mail baltasar.beferull@uia.no, Associate Professor Tim A. Majchrzak, tel. +47 38 14 19 82, e-mail timam@uia.no, Associate Professor Daniel Romero, tel. +47 37 23 31 96, e-mail daniel.romero@uia.no or Head of Department of ICT, Professor Folke Haugland, tel. +47 37 23 31 12, e-mail folke.haugland@uia.no


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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About this job

  • Deadline
    Monday, January 29, 2018
  • Employer
    University of Agder
  • Website
  • Municipality
    Grimstad
  • Jobbnorge ID
    144201
  • Internal ID
    Ref. 140/17
  • Scope
    Fulltime
  • Duration
    Temporary

About applications

  • Applications on this job are registered in an electronic form on jobbnorge.no
  • You must complete: Standard CV
  • Please refer to where you first saw this job advertised!

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