A fixed-term 100% position is available at the University of Agder, Faculty of Engineering and Science as a PhD Research Fellow in ICT, affiliated to the Department of Information and Communication Technology, for a period of three years, or four years with 25% required duties. The position is located, at the present, at Campus Grimstad. The starting date is January 2021.
The successful applicant will become part of a team of 11 researchers working on artificial intelligence, machine learning, wireless communications, and control theory for autonomous unmanned aerial vehicles (UAVs). This team spans three departments and the Center for Integrated Emergency Management of UiA, Delft University of Technology (The Netherlands), the University of Vigo (Spain), and Gradiant (Spain). This creates an interdisciplinary and international collaboration environment designed to leverage the full potential of its members. Upon satisfactory performance, the student can perform research visits for a certain number of months to the aforementioned institutions.
The successful applicant will conduct research in the project Ubiquitous Connectivity via Autonomous Airborne Networks (AirBonnet). This project comprises a set of key developments intended to develop the technology of unmanned aerial vehicles (UAVs) such as zeppelins, balloons, and multicopters that autonomously navigate through the airspace to provide data connectivity in those locations where it is absent or unsatisfactory.
While households in developed countries receive skyrocketing data rates through optical fibers and smartphones step into the 5G era, roughly one half of the world’s population cannot connect to the internet. Even beyond developing economies, bringing data connectivity to areas where it cannot currently reach would drastically benefit applications such as the internet-of-things, smart agriculture/forestry, wildfire suppression, search-and-rescue missions, paramedical interventions, and emergency response handling to name a few.
To this end, the UAVs in the targeted technology are equipped with a communication module that connects to the ground users on one side and to the cellular terrestrial infrastructure on the other side. The user information may even be relayed through multiple UAVs before reaching its destination. For this technology to be viable, the UAVs must be able to navigate without human supervision to locations with favorable propagation conditions, that is, where the signals that they receive from and transmit to the ground users and cellular infrastructure are not significantly blocked by obstacles such as buildings or mountains.
The key approach in this project is to construct "radio maps" that describe the propagation conditions in a certain region. Using these maps, the UAVs rely on artificial intelligence algorithms to determine the appropriate locations and can even adapt to changes in the user positions and connectivity requirements as well as to coordinate with other UAVs. Our preliminary findings already showcase the ability of artificial deep neural networks to construct radio maps from a small number of measurements collected by the UAVs.
This position involves theoretical research, computer simulation, measurement collection, and testbed development.
A prerequisite for employment is that the candidate is to be admitted to UiA’s PhD programme at the Faculty of Engineering and Science, Specialisation in Engineering Sciences. The goal of the PhD program is to train students to become autonomous researchers. This means that students need to complete a coursework component of 30 ECTS intended to provide the necessary background for conducting research. Additional self-study will also be required to fill possible background gaps or specialized knowledge requirements.
A close advising model is generally pursued at the beginning, whereas more independence is gradually granted to the student as she/he becomes more mature. Ideally, the student must be able to conduct research independently after graduation.
Part of the objectives of any PhD program is to develop the student’s communication skills, both oral and written. The PhD program intensively and advising style will promote and assist in the development of these skills.
The research focus of this position is on wireless communications, machine learning, signal processing, and artificial intelligence. Candidates whose profile is more focused on control theory and robotics should apply to this position.
Further provisions relating to the positions as PhD Research Fellows 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 position is remunerated according to the State Salary Scale, salary plan 17.515, code 1017 PhD Research Fellow, NOK 479 600 gross salary per year. A compulsory pension contribution to the Norwegian Public Service Pension Fund is deducted from the pay according to current statutory provisions.
UiA is an open and inclusive university. We believe that diversity enriches the workplace and makes us better. We, therefore, encourage qualified candidates to apply for the position independent of gender, age, cultural background, disability or an incomplete CV.
Women are strongly encouraged to apply for the position.
The successful applicant will have rights and obligations in accordance with the current regulations for the position, and organisational changes and changes in the duties and responsibilities of the position must be expected. The engagement is to be made in accordance with the regulations in force concerning the acts relating to Control of the Export of Strategic Goods, Services and Technology. Appointment is made by the University of Agder’s Appointments Committee for Teaching and Research Positions.
Short-listed applicants will be invited for interview. With the applicant’s permission, UiA will also conduct a reference check before appointment. More about the employment process.
In accordance with the Freedom of Information Act § 25 (2), applicants may request that they are not identified in the open list of applicants. The University, however, reserves the right to publish the names of applicants. Applicants will be advised of the University’s intention to exercise this right.
The application and any necessary information about education and experience (including diplomas and certificates) are to be sent electronically. Use the link "Apply for this job".
The following documentation must be uploaded electronically:
The applicant is fully responsible for submitting complete digital documentation before the closing date. All documentation must be available in English or in a Scandinavian language.
Application deadline: 1.11.20.
For questions about the position:
For questions about the application process:
|Título||PhD Research Fellow in Artificial Intelligence and Machine Learning tools for UAV communication|
|Employer||University of Agder (UiA)|
|Job location||Gimlemoen 25, 4630 Kristiansand S|
|Publicado||septiembre 18, 2020|
|Fecha límite de solicitud||noviembre 1, 2020|
|Tipos de trabajo||Doctorado  |
|Campos||Algoritmos,   Ingeniería Aeroespacial,   Ingeniería de la Comunicación,   Inteligencia Artificial,   Redes Informáticas de Comunicación,   Ingeniería Aeronáutica,   Ingeniería de Sistemas y de Control,   Ingeniería Eléctrica,   Computación Científica,    and 2 more. Aprendizaje de Máquina,   Procesamiento de Señales  |