计算机科学方向博士职位

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.

Requirements / required education level / degree: Master Degree or equivalent

Requirements / required education level / discipline: Computer science

Requirements / skills: • 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.

Requirements / required languages / language: ENGLISH

Requirements / required languages / language level: Good

Additional information / eligibility criteria: 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.

Additional information / selection process: 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.

Work location / nr job positions: 1

Work location / job organisation institute: Western Norway University of Applied Sciences

Work location / job country: Norway

Work location / job city: Bergen

Work location / job postal code: 5062

Hiring contact / organisation institute: Western Norway University of Applied Sciences

Hiring contact / organisation institute type: Higher Education Institute

Hiring contact / country: Norway

Hiring contact / city: Bergen

Hiring contact / state province: Vestland

Hiring contact / postal code: 5020

Hiring contact / street: Postboks 7030

Hiring contact / e mail: vsto+tuai@hvl.no

Hiring contact / website: https://www.hvl.no/en/

Application / how to apply: website

Application / application website: https://www.jobbnorge.no/en/available-jobs/job/307713/phd-research-fellow-in-computer-science

EU funding / framework programme: Horizon Europe - MSCA

EU funding / cofund nr job position: 1

EU funding / sesam agreement number: 101168344

Research field / main research field: Computer science

Research field / sub research field: Informatics

Research field / main research field: Computer science

Research field / sub research field: Autonomic computing

Researcher profile: First Stage Researcher (R1)

Positions: PhD Positions

Contract: Temporary

Job status: Full-time

Application deadline (as exported; timezone unverified): 2026-10-11T21:59:59