With about 17,000 students, Western Norway University of Applied Sciences is one of the largest higher education institutions in Norway. A broad range of academic programmes are offered at Bachelor, Master and PhD levels, spread out on five campuses Førde, Sogndal, Bergen, Stord og Haugesund.
Our ambition is to build stronger and more solid academic and research environments that will interact nationally and internationally. The aim is to become a recognized actor on the international higher education arena. Increased international cooperation and engagement in externally funded projects will work towards this goal.
The Department of Computer science, Electrical engineering and Mathematical sciences at Western Norway University of Applied Sciences (HVL) has a PhD research fellow position in Computer Science
The Department of Computer science, Electrical engineering and Mathematical sciences at Western Norway University of Applied Sciences (HVL) has a PhD research fellow position (3 years) in the Marie Skłodowska-Curie Action «TUAI - Towards an Understanding of Artificial Intelligence via a transparent, open and explainable perspective».
The PhD research fellow will be part of the PhD programme in Computer Science: Software Engineering, Sensor Networks and Engineering Computing and the HVL Software Engineering Group. The research programme in Computer Science currently includes around 20 professors and associate professors, 40 PhD and post-doctoral research fellows, and master’s students. The prospective PhD candidates will be associated with the Marie Skłodowska-Curie Action Doctoral Network (MSCA DN) “TUAI - Towards an Understanding of Artificial Intelligence via a transparent, open and explainable perspective”. TUAI has partners in Norway, Poland, Germany, Spain and Italy.
About the PhD projects:
Artificial intelligence and related technologies, such as smart systems, smart manufacturing, and smart cities, have paved the way for significant opportunities for advancing sustainability and energy efficiency. The project will apply recent technological advancements to optimise smart services and devices, improving their sustainability and energy consumption throughout manufacturing and their use in smart cities or other smart methodologies
HVL contributes their experience in distributed, dynamic, heterogeneous systems that integrate sensor networks, the IoT and mobile devices, using low-power, proximity-based broadcast communication such as BTLE and UWB to collectively solve tasks. These tasks might involve AI-based techniques that are only available on a subset of the participating devices. Aggregate computing provides a unifying foundation for developing these systems, avoiding a centralised server and obtaining deployment on multiple hardware platforms. Within heterogeneous systems, the challenges are that: (i) resource-constrained devices will want to off-load classification to more powerful nodes nearby; (ii) distributed AI-based classifiers will need to be updated and (iii) trust and resiliency will be established through consensus in each neighbourhood of devices.
The PhD candidate will develop a functioning platform that integrates AI-based techniques into an existing heterogeneous computing paradigm, and evaluate their solution e.g. on the automated guided vehicles at a partner institution. Their secondary objective will be to develop techniques that ensure trustworthiness and to develop methods and tools to analyse and quantify the various performance parameters of the software on this platform such as degree of privacy, reliability and energy consumption.
Research environment
The computer science research environment at Western Norway University of Applied Sciences has a strong focus on use-inspired and applied research, and on ICT as an enabling technology. The research environment has cooperation with many national and international research groups, and with national and regional industry partners. The research programme includes the research themes of software engineering, engineering computing, sensor networks and measurement technology, grid computing and physics data analysis, machine learning, and interactive and collaborative systems. The prospective PhD candidate will work in close cooperation with staff, current PhD candidates and master students in the software engineering research group, which has a strong track record in model-based software development and undertakes research on applications in areas such as healthcare, cloud technology and internet-of-things, industrial automation, and robotics.
PhD research fellow receives an annual work expense funding which can be used for conference participation, research visits, and equipment. The place of employment is Campus Bergen, however, the candidate is expected to spend twelve months in smaller secondments to project partners in Poland, Norway, and Italy, and participate in research schools.
Qualifications:
a master's degree in computer science or in a closely related field. Candidates who are in the final stage of completing a master’s degree (but who have not yet been awarded the degree) may also qualify for the position. In this case, a draft of the master thesis and a transcript showing grades of currently completed course work must be submitted with the application. If the candidate is called for an interview, the final version of the thesis and a complete transcript of grades on the master’s degree must be provided at the time of the interview.
a solid grasp on object-oriented programming (eg. C++, Java, Kotlin, Swift, …). Programming experience on mobile platforms or embedded systems is an advantage.
an interest in the IoT, smart- and self-adaptive systems and their applications.
In addition to the required educational background, the following criteria will be evaluated: competence and grades on completed course work, quality of the master's thesis (excellent grade, equivalent of grade B or better on the ECTS grading system), publications (if any), research and teaching experience, practical software engineering skills and experience. Applicants must be proficient in both written and oral English. A possible outline of a research plan for a potential PhD project will also be taken into account. Personal and relational qualities will be emphasized. Ambitions and potential will also count when evaluating the candidates.
The candidate must be diligent and display the ability to work independently, supplemented with regular guidance, and is expected to carry out high-quality research and to publish the results in international conferences and journals. Willingness to participate in international networking and travel is expected.
Candidates already holding a PhD within this field are not eligible for this position. As per MCSA DN rules, the candidate must not have resided or carried out their main activity (work, studies, etc.) in Norway for more than 12 months in the 36 months immediately before their recruitment date.
The PhD research fellow must enroll in the PhD programme in Computer Science: Software Engineering, Sensor Networks and Engineering Computing at Western Norway University of Applied Sciences, and must meet the formal admission requirements for admission into the PhD programme. The employment period may be reduced if the successful applicant has held previous employment as a research fellow.
The PhD candidate will be assigned one academic supervisor at Western Norway University of Applied Sciences and a co-supervisor. An application for enrolment should first be submitted after an appointment is made, and the supervisor(s) will help with this procedure. The candidate must be enrolled as a PhD student within three months from the start of the employment.
Regulations relating to programmes of study and examinations at Western Norway University of Applied Sciences § 2-4.
Application procedure:
Applications will be evaluated by an expert panel of three members.
Applicants are asked to submit their application and CV online. Please use the link “Apply for this job” (“Søk stillingen”).
The following documentation should be uploaded as an attachment to the online application:
Transcripts of bachelor’s and master’s degree
Master Thesis
A CV with a complete list of academic publications if any
Diplomas and certificates
Copies of selected academic publications if any (no more than 5).
If the documents submitted are not in a Scandinavian language or in English, the applicants must submit certified translations of these. The transcripts must specify the topics, the course works, and the grades at the bachelor`s and master`s degree levels.
Applicants with a degree from a country other than Norway, need to attach a certified translation of the diploma and transcripts of grades to English or a Scandinavian language, in addition to the original documents, if the original is not in any of these languages. It is required that the applicant encloses a recognition document showing that their degree is equivalent to a Norwegian bachelor’s degree, master’s degree, or PhD. You can read more about applying for recognition of foreign higher education here.
The Norwegian Directorate for Higher Education and Skills (HK-dir) offers an automatic recognition document for certain degrees from selected countries. If the applicant’s degree is covered by the automatic recognition, it will be sufficient to attach this document. Read more about automatic recognition here.
As the HK-dir application process may take some time it is recommended to apply to HK-dir as soon as possible. If you have not received a recognition document from HK- dir within the application deadline, please enclose documentation from HK-dir showing that they have received your application.
Applicants should note that the evaluation will be based on the documentation submitted electronically via Jobbnorge within the submission deadline. The applicants are responsible for ensuring that all the documentation is submitted before the closing date. It is of utmost importance that all publications to be considered in the evaluation are uploaded as an attachment with the application, since these are sent electronically to the expert panel. Applications cannot be sent by e-mail or to individuals at the college.
Salary:
Good occupational pension, insurance and loan schemes from The Norwegian Public Service Pension Fund
Exciting academic environment with the possibility of competence enhancement and development
Opportunities for training within the working hours
Initial salaries will be offered at grade 54 (code 1017) in the Civil Service pay grade table scale.
There is a compulsory 2 % deduction to the pension fund (see http://www.spk.no for more information). The successful applicant must comply with the guidelines that apply to the position at any time.
General information:
The appointment will be made in accordance with the regulations for State employees Law in Norway ("Lov om statens ansatte)". Organizational changes and changes in the duties and responsibilities associated with the position must be expected.
State employment shall reflect the multiplicity of the population at large to the highest possible degree. Western Norway University of Applied Sciences Bergen has therefore adopted a personnel policy objective to ensure that we achieve a balanced age and gender composition and the recruitment of persons of various ethnic backgrounds.
Information about the applicant may be made public even though the applicant has requested not to be named in the list of applicants. The applicant will be notified if his/her request is not respected.
Short-listed applicants will be called in for an interview.
Employed on condition that you are granted a work and residence permit (must be considered individually).
Western Norway University of Applied Sciences is subjected to the regulation for export control system. The regulation will be applied in the processing of the applications.
