The University of Agder offers more than 150 study programmes and an active and leading research environment. We emphasize respect, openness and the ability to show commitment and pride concerning both your own and others’ results. Our 1200 staff and 12000 students enjoy daily life and scholarly activities at our modern and functional campuses in Kristiansand and Grimstad.
PhD Research Fellow in ICT with specialization in Mobile Radio Communications
The University of Agder (UiA) invites applications for a full-time fixed-term appointment as PhD candidate at the Faculty of Engineering and Science with specialization in Information and Communication Technology (ICT) for a period of three years. The position is currently located in Grimstad in the South of Norway. The starting date is as soon as possible or to be negotiated with the Faculty.
The Department of ICT has several active research groups, including 12 professors, 25 associate professors, 10 assistant professors, and about 20 research fellows on the PhD programme in ICT. The Department of ICT pursues a variety of research interests, focusing on mobile radio communications, e-health, embedded systems, data analytics, crisis management, and e-learning. The department has successfully 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.
Brief Description of the Research Project
The PhD fellowship position will be offered in the areas of mobile radio communications and e-health, advancing both theoretical aspects and algorithm designs for the development of a wireless in-home healthcare monitoring system for supporting the independent living of elderly citizens. This position is related to the WiCare project, which was recently funded by the Research Council of Norway.
Aging and its resultant physical and mental disorders are very serious concerns around the world. In recent years, various in-home healthcare monitoring systems have been proposed for obviating dangerous consequences of incidents threatening elderlies living at home. The drawback of existing solutions is that they are generally based on wearable monitoring devices, which may easily be forgotten to wear or ignored by the user for privacy and comfort reasons. The WiCare project proposes a groundbreaking in-home healthcare monitoring solution that not only requires no user involvement, but also fully respect the user’s privacy. The aim of this research project is to design, prototype, and test a so-called WiCare system, which transmits radio waves from which information about the user activities will be extracted. The received signals will be processed to detect predefined threats, such as falls, irregular home-side activities, and home-leaving preparations, especially for people suffering from dementia. The WiCare system does not require the involvement of the home occupants, which can live their private daily life without the need to wear any kind of sensors. The project utilizes the Agder Living Lab concept to assure a seamless transition from a novel research-level idea to a testable system prototype.
Research Topics for the PhD Research Fellow
The WiCare system is based on wireless techniques and requires highly reliable algorithms for the detection of unexpected falls and home-leaving actions. The challenge is to distinguish these incidents from other activities, such as sitting on a chair, laying down on a sofa or bed, as well as irregular activities caused by pets. This calls for extensive research in the area of mobile radio communications, signal processing, signal analysis, and estimation theory. Potential research topics for the PhD research fellow include, but are not limited to the following:
- Modelling, analysis, and simulation of 3D non-stationary indoor MIMO channels with moving people
- Development of estimation and detection algorithms
- Developing of time-frequency pattern recognition techniques
- Design of time-frequency noise and interference cancellation schemes
- Evaluation of the performance and reliability of wireless fall-detection algorithms
To be regarded as an eligible applicant, the candidate must hold a master’s degree in ICT, electrical engineering or a similar/related field. A master’s degree in mathematics is also welcome as long as the candidate’s area of expertise intersects sufficiently with the research areas that are relevant for this position. To be considered for this position, applicants must have either already finished their master’s degree during the last five years or have a date for the defense of the master’s thesis that will take place not later than summer 2017. In any case, the master’s thesis should be related to one or several topics listed for this position.
Furthermore, the applicant should have:
- Strong academic credentials, written and spoken English proficiency
- Excellent knowledge in mathematics, especially in stochastic processes and estimation theory
- Strong knowledge in mobile radio communications, especially in the physical layer
- Excellent knowledge in signal processing and time-frequency signal analysis
- Excellent knowledge of pattern recognition and machine learning
- Strong programming skills and years of experience in using numerical tools such as MATLAB
The candidate must be admitted to the PhD programme at the Faculty of Engineering and Science with specialization in ICT within three months of appointment. Detailed information about the PhD programme and a complete list of admission requirements to the PhD programme can be found here.
The following admission requirements apply to the PhD programme:
- 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's thesis (or equivalent) must have a grade B (or equivalent) or higher when the candidate is admitted to the PhD programme
- The successful applicant must have written and spoken English proficiency
- The position places great demands on the applicant’s capacity for independent goal-oriented work, ability to concentrate as well as good communication and team-work skills in cooperation with research colleagues both inside and outside the university
Applicants from some countries must document their English proficiency through one of the following tests with the stated results or better:
- TOEFL – Test of English as a Foreign Language with a minimum score of 550 on the paper-based test (PBT), or 80 on the Internet-based test (iBT)
- IELTS – International English Language Testing System with a result of at least 6.0.
Please check this list to see if an English test is required. Possible categories of applicants from particular countries may be exempted. Please note that the English test requirement applies to applicants from most countries according to the list mentioned above. No other tests will be approved, and certifications/statements cannot replace a test.
Applicants who already possess a PhD degree will not be considered.
Further provisions relating to the position as PhD Research Fellow can be found in the Regulations Concerning Terms and Conditions of Employment for the Posts of Post-Doctoral Research Fellow, Research Fellow, Research Assistant and Resident.
The Norwegian public service is committed to reflecting the diversity of society, and the personnel policy of UiA 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.
Short-listed applicants will be invited for interviews. With the applicant’s permission, UiA will also conduct a reference check before appointment.
The successful applicant will have rights and obligations in accordance with the current regulations for the public service. Appointment is made by the UiA’s Appointment Committee for Teaching and Research Positions.
The position is 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.
Submit your application and CV online. Please click on the link “Apply for this job”.
The following documentation must 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
- Master's thesis (with a summary of approximately 1-2 pages in English if the thesis is not in English
- 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)
- Publication list or links to the applicant's scientific publications (if any)
Closing date 30.04.17
Original documents must be presented for verification to UiA together with the copies by the appointed research fellow upon arrival at UiA. 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 (a contact person at UiA will be provided later for certain candidates).
The applicant is fully responsible for submitting complete documentation within the closing date. Applicants without complete documentation cannot be included in the assessment process.
All documentation of education must be in the original language and in English, and the translation should preferably be from the issuing university. Additional documentation must be in English.
For further information please contact Professor Dr.-Ing. habil. Matthias Pätzold, phone +47-37 23 32 83, e-mail: firstname.lastname@example.org, or Head of Department, Folke Haugland, phone: + 47 37 23 31 12, e-mail: email@example.com.
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 UiA’s intention to exercise this right.
- Søknadsfrist30. april 2017
- ArbeidsgiverUniversitetet i Agder
- Intern-IDRef. 29/17
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