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Researcher/Project Leader in Federated Learning

3 hours ago

Oslo, Oslo County, Norway Oslo universitetssykehus Full time

Researcher/Project Leader in Federated Learning

Teknologi og innovasjonsklinikken (TIK) Intervensjonssenteret (IVS) Seksjon for medisinsk kybernetikk og bildebehandling, Oslo universitetssykehus HF

(i ny fane)

Om stillingen

The Section for Medical ICT Research at the Oslo University Hospital has a fulltime Researcher Fellowship ). This fellowship belongs to "research on Internet of medical things for human health – aiming to develop therapeutics". The projects involve a cross-disciplinary supervisory team from Oslo University Hospital in addition to an international research group in Germany. The position will be with Prof. Balasingham's lab at the Oslo University Hospital -

Oslo University Hospital is a workplace with great diversity. We believe this is crucial for solving our tasks in the best possible way. We want this diversity to be reflected among the applicants for our positions, and we encourage all qualified candidates, regardless of background, to apply

Nøkkelinformasjon

Søknadsfrist:

Arbeidsgiver:

Oslo universitetssykehus HF

Stillingstittel:

Researcher/Project Leader in Federated Learning

Stillinger:

1

Heltid / Deltid:

Heltid

Ansettelsesform:

Engasjement

Stillingsprosent:

100

Webcruiter-ID:

Startdato:

Sluttdato:

Del på X

Del på LinkedIn

Del på Facebook

Del på e-post

Worktasks

The project will be within the machine learning area of the Interne of Medical Things, where the fellow will lead the research and develop the methods. The project will focus on creating an AI-native ecosystem where distributed intelligence and network infrastructure co-evolve in real time. Applied to remote patient monitoring, the project will enable networks that automatically recognize and prioritize life-critical data—ensuring urgent health alerts receive immediate attention over routine measurements.

Contact details for the position:

Prof. Ilangko Balasingham (email: ilangko.-)

Qualifications

The qualification requirement is that you have completed a PhD in electrical engineering or computer scient with a strong academic background and publication track record. A minimum of 3 years of postdoctoral experience in IoT, machine learning, deep learning and federated learning with publications is needed. The candidate should have demonstrated obtaining external funds from the Research Council of Norway or other relevant funding agencies.

Personal skills

Preferred selection criteria

Applicants who do not master a Scandinavian language must provide evidence of good written and spoken English language skills. The following tests can be used as documentation: TOEFL, IELTS, Cambridge Certificate in Advanced English (CAE), or Cambridge Certificate of Proficiency in English (CPE).

Minimum scores are:

TOEFL: 600 (paper-based test), 92 (Internet-based test)

IELTS: 6.5, with no section lower than 5.5 (only Academic IELTS test accepted)

CAE/CPE: grade B or A.

We offer

  • Exciting and stimulating tasks in a strong international academic environment
  • An open and inclusive work environment with dedicated colleagues
  • Favourable terms in the Norwegian Public Service Pension Fund
  • Employee benefits
  • Salary according to agreement

Adresse:

Oslo universitetssykehus HF, Rikshospitalet, Sognsvannsveien 20, 0372 Oslo, Norge

(i ny fane)

Kontaktinformasjon

Ilangko Balasingham

Seksjonsleder

Telefon:

E-post:

ilangko.-

Om arbeidsgiveren

Oslo University Hospital is a highly specialized hospital in charge of extensive regional and local hospital assignments. As Scandinavia's largest hospital, we carry out more than 1.2 million patient treatments each year. The hospital has a nationwide responsibility for a number of national and multi-regional assignments, and has several national centers of competence. Oslo University Hospital is responsible for approximately 50 percent of all medical and health care research conducted at Norwegian hospitals, and is a significant role player within the education of a large variety of health care personnel.