About the positionPhD student position in multimodal artificial intelligence for healthcareArtificial intelligence may significantly improve healthcare, offering the promise of precise and early disease detection. However, existing models primarily targets individual conditions using single modalities. To increase real-world impact, models need improved inference capabilities, encompassing phenotyping and identification of comorbidities.This project provides a unique opportunity, where machine learning models will be built on a newly developed platform, integrated into the production systems at Akershus University Hospital. The integration enables data mining on real world data, compiling anonymized datasets from a vast set of sources, as well as seamless real-world testing. The core objective of the project is to go beyond traditional classification models, using unsupervised and/or multi-task learning on multimodal backbones.The position is fully funded and the selected candidate will be supervised by Dr. Arian Ranjbar and Prof. Henrik Schirmer at Akerhus University Hospital and University of Oslo, in the research group Artificial Intelligence and Medical Informatics. The student will be part of a vibrant inter-disciplinary research team composed of data scientists, IT engineers and medical professionals.Akershus University Hospital is a workplace with great diversity. We believe this is absolutely crucial to solving the tasks within patient treatment, research and development. We therefore want this diversity to be reflected among the applicants for our positions and encourage every qualified person to apply regardless of identity and background.Key informationApplication deadline:01.05.2024Employer:Akershus universitetssykehus HFTitle:PhD Research FellowPositions:1Full-time/part-time:Full-timeEmployment type:ContractPercentage of full-time:100Webcruiter ID:4790123873Social sharing :Major responsibilitiesThe student will be responsible for researching and developing state of the art, novel machine learning models, with the end goal of improving AI for medical diagnostics. The project targets high quality, high impact publications in both pure and applied machine learning journals and conferences. The student is also expected to work in close collaboration with the rest of the research group.QualificationsWe are looking for a highly motivated person, well organized and dynamic with creative thinking.To qualify for the position, you need:
Master's degree in either Engineering Physics, Engineering Mathematics, Electrical Engineering, Computer Science, or equivalent.
Strong background in mathematics, and good programming skills (Python).
Knowledge and experience with machine learning is an asset, along with familiarity in utilizing standard software engineering tools and cloud-based platforms.
Excellent verbal and written communication skills in English. While not necessary, it is advantageous to know a Scandinavian language when working with the hospital databases.
Ability to be inventive and to present novel ideas, data analyses and interpretation.
Personal skills
We put strong emphasis on teamwork, as a successful data science project thrive on interdisciplinary interactions, and seek individuals who demonstrate personal suitability for effective collaborations.
High intrinsic motivation and scientific curiosity
Proactive, flexible, and problem-solving attitude
We offer:
A full-time contract for three years with possibility for extension
Start date upon agreement
An exciting and stimulating academic environment
Salary according as a PhD Research fellow according to Ahus regulations
Attractive welfare benefits and a generous pension agreement, in addition to Oslo's family-friendly environment with its rich opportunities for culture and outdoor activities
All applications must include:
A presentation letter describing your motivation for applying for the project and a PhD position
A full CV (summarizing education, positions, academic work, scientific publications and other relevant activity)
Transcripts and diplomas for bachelor's and master's degrees. (If you have not completed the master's degree, you must submit a confirmation that the master's thesis has been submitted).
Copy of/link to master thesis and other scientific work you want us to consider
Contact details of 2-3 references (name, relation to candidate, e-mail and phone number)
Only applications thorugh Webcruiter will be considered
Place of work
The department is currently located at Lørenskog, Akershus University hospital.
Excellent work-life balance and social goods
For more information, please contact Arian Ranjbar (arian.ranjbar@medisin.uio.no)Address: Akershus universitetssykehus, Sykehusveien 25, 1478 Nordbyhagen, NorwayContactsArian RanjbarGroup leader, PhDEmail: arian.ranjbar@medisin.uio.noTrine BrennaAvdelingslederEmail: trine.brenna@ahus.noAbout the employerAkershus universitetssykehus (Ahus) er et lokal- og områdesykehus for ca. 618 000 innbyggere. Hovedoppgavene er pasientbehandling, forskning, undervisning og pasientopplæring. Vi har pasienttilbud innen somatikk, psykisk helsevern og rusbehandling.Tjenestestedet er imidlertid Akershus universitetssykehus HF og innbefatter alle sykehusets lokasjoner. Arbeidsgiver tar forbehold om endring av arbeidssted, arbeidsoppgaver og ansvarsområde ved behov.«Menneskelig nær - faglig sterk» er vår visjonDiagnostikk og teknologidivisjonen har ansvaret for diagnostiske tjenester innenfor alle laboratoriespesifikke områder og bildediagnostikk, samt smittevern, medisinsk teknikk, e-helse og behandlingshjelpemidler.Divisjonen byr på spennende fagoppgaver med forsknings- og utviklingsmuligheter i et moderne og ekspansivt sykehus.
