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Arbeidssted: Grefsheim Gård , 2350 Nes
PRAKTISK GÅRDSARBEIDER - TRAKTOR, VEDLIKEHOLD OG BOLIG PÅ GÅRDEN
Variert fulltidsjobb ved Mjøsa - Møblert bolig til lav husleie - Norsk eller engelsk
Arbeidssted: Grefsheim gård, 2350 Nes i Ringsaker
Oppstart: Så snart som mulig
Varighet: Frem til 1. mars 2027
Arbeidstid: Normalt 37,5 timer per uke
Lønn: Cirka 220 kroner per time, avhengig av erfaring og kompetanse
Bolig: Møblert bolig med eget kjøkken, bad og to eller tre soverom
På Grefsheim får du en variert fulltidsjobb med traktor, maskiner, vedlikehold og praktiske oppgaver. Du får selvstendig ansvar, arbeider tett sammen med en erfaren gårdsbestyrer og kan bo på gården til lav husleie.
Vi søker en pålitelig og praktisk medarbeider som har øynene med seg. Du ser hva som bør gjøres, tar initiativ, arbeider ryddig og tar godt vare på bygninger, maskiner og utstyr.
Om gården og arbeidet
Grefsheim ligger ved Mjøsa, cirka 20 minutter med bil fra Hamar. Gården har 1 230 dekar dyrket mark med korn, potet og løk, i tillegg til skog, veier, uteområder og mange bygninger.
I vekst- og innhøstingssesongen vil arbeidet hovedsakelig være knyttet til jordbruk, traktor og maskiner. I andre perioder blir vedlikehold, reparasjoner, snekring og arbeid på gårdens bygninger en større del av jobben.
Arbeidsoppgavene omfatter blant annet:
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kjøring av traktor og bruk av landbruksredskap
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jordarbeiding og innhøsting
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sortering og håndtering av potet og løk
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enkelt vedlikehold og reparasjon av maskiner og redskap
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vedlikehold av bygninger, veier og uteområder
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snekring, maling og mindre reparasjons- og byggearbeider
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andre praktiske oppgaver på gården
Vi trenger en person som oppdager små problemer før de blir store, løser det som kan løses selv og sier fra når en oppgave krever annet utstyr eller annen kompetanse.
Hvem ser vi etter?
Du må:
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ha erfaring med traktorkjøring
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ha førerkort klasse B
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kunne kommunisere på norsk eller engelsk
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arbeide ryddig, nøyaktig og systematisk
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kunne arbeide selvstendig og samarbeide godt med andre
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møte presis, holde avtaler og ta ansvar
Vi ser gjerne at du også:
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er praktisk og teknisk anlagt
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kan bruke håndverktøy og elektrisk verktøy
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kan utføre vanlige reparasjoner og mindre snekkerarbeider
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har erfaring fra jordbruk eller annet praktisk arbeid
Du trenger ikke være utdannet snekker. Erfaring med snekring, tømrerarbeid eller bygningsvedlikehold er likevel en klar fordel. Praktisk erfaring og godt håndlag kan være like relevant som formell utdanning.
Erfaring med sveising, mekaniske reparasjoner eller vedlikehold av landbruksmaskiner er også positivt, men vi forventer ikke at du kan alt.
Søkere som bor utenfor Norge, er velkomne til å søke.
Dette tilbyr vi
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fulltidsarbeid med oppstart så snart som mulig
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normal arbeidstid på 37,5 timer per uke
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lønn på cirka 220 kroner per time, avhengig av erfaring og kompetanse
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møblert bolig på gården til lav husleie
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skriftlig arbeidsavtale og månedlig lønnsutbetaling
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varierte oppgaver og stor grad av selvstendighet
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tett samarbeid med en erfaren gårdsbestyrer
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mulighet for en lengre sammenhengende friperiode rundt jul etter avtale
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hjelp med skattekort, registrering og praktiske spørsmål ved flytting til Norge
Arbeidsavtalen varer frem til 1. mars 2027. Det kan bli aktuelt med videre arbeid, men dette kan ikke garanteres.
I innhøstingsperiodene må du regne med lengre arbeidsdager og noe arbeid på kvelder og i helger.
Bolig på gården
Vi kan tilby møblert bolig med eget kjøkken, eget bad og tre soverom. Boligen ligger nær arbeidsplassen og tilbys til lav husleie.
Etter nærmere avtale kan boligen også passe for deg som ønsker å bo sammen med partner eller familie. Bilder og video kan sendes til aktuelle kandidater.
Egen bil er nødvendig for handling og aktiviteter utenfor gården.
Livet på Grefsheim
Grefsheim er en norsk storgård som ligger i rolige og naturskjønne omgivelser, med Mjøsa, skog og utmark rett utenfor døren.
Her finnes gode muligheter for:
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fiske og båtliv på Mjøsa
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bruk av båtplass etter avtale
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turer i skog og utmark
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plukking av sopp og bær
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å sette opp egne bikuber etter avtale
Stillingen kan passe særlig godt for en person eller familie som liker praktisk arbeid, natur og et roligere liv på landet. Hamar, Brumunddal og Moelv ligger innenfor cirka 20--30 minutter med bil.
Slik søker du
Du trenger ikke skrive en lang søknad. Send CV og en kort melding hvor du forteller:
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hvilken erfaring du har med traktorkjøring og gårdsarbeid
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hvilke maskiner og redskaper du har brukt
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hvilken erfaring du har med snekring, vedlikehold og reparasjoner
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når du kan begynne
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om du trenger bolig
Legg gjerne ved referanser og bilder av tidligere snekkerarbeid eller andre praktiske prosjekter.
Første intervju kan gjennomføres på Teams eller WhatsApp. Vi vurderer søknader fortløpende og ansetter når vi finner riktig person.
Kontakt
Dagfinn Møller
Telefon/WhatsApp: +47 934 80 464
E-post: dagfinn@grefsheim.no
Anette Mellbye
Telefon: +47 982 03 310
Arbeidssted: Grefsheim gård, 2350 Nes, Ringsaker, Norge
PRACTICAL FARM WORKER -- TRACTOR DRIVING, MAINTENANCE AND ACCOMMODATION ON THE FARM
Varied full-time work by Lake Mjøsa -- furnished accommodation at a low rent -- Norwegian or English
Workplace: Grefsheim Farm, 2350 Nes, Ringsaker, Norway
Start date: As soon as possible
Contract period: Until 1 March 2027
Working hours: Normally 37.5 hours per week
Pay: Approximately NOK 220 per hour, depending on experience and skills
Accommodation: Furnished accommodation with a private kitchen, bathroom and two or three bedrooms
At Grefsheim, you will have a varied full-time job involving tractors, machinery, maintenance and practical work. You will be given independent responsibility, work closely with an experienced farm manager and have the opportunity to live on the farm at a low rent.
We are looking for a reliable and practical person who notices what needs to be done. You take initiative, work in a tidy and organised way and take good care of buildings, machinery and equipment.
About the farm and the work
Grefsheim is located by Lake Mjøsa, approximately 20 minutes by car from Hamar. The farm has 123 hectares of cultivated land where we grow grain, potatoes and onions. The property also includes forest, roads, outdoor areas and numerous buildings.
During the growing and harvesting seasons, the work will mainly involve farming, tractors and machinery. At other times of the year, maintenance, repairs, carpentry and work on the farm's buildings will form a larger part of the job.
The work will include:
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driving tractors and using agricultural machinery and implements
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soil cultivation and harvesting
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sorting and handling potatoes and onions
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basic maintenance and repair of machinery and equipment
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maintenance of buildings, roads and outdoor areas
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carpentry, painting and minor repair and construction work
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other practical tasks on the farm
We need someone who notices small problems before they become larger, handles tasks that can be completed independently and speaks up when a job requires different equipment or specialist expertise.
Who are we looking for?
You must:
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have experience driving tractors
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hold a valid Category B driving licence
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be able to communicate in Norwegian or English
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work in a tidy, accurate and systematic manner
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be able to work independently and cooperate well with others
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be punctual, keep agreements and take responsibility
We would also like you to:
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be practical and technically minded
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be comfortable using hand tools and power tools
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be able to carry out ordinary repairs and minor carpentry work
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have experience from farming or other practical work
You do not need to be a qualified carpenter. Experience with carpentry, construction work or building maintenance is, however, a clear advantage. Practical experience and good craftsmanship may be just as relevant as formal qualifications.
Experience with welding, mechanical repairs or the maintenance of agricultural machinery is also an advantage, but we do not expect you to know everything.
Applicants who currently live outside Norway are welcome to apply.
What we offer
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full-time work starting as soon as possible
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normal working hours of 37.5 hours per week
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pay of approximately NOK 220 per hour, depending on experience and skills
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furnished accommodation on the farm at a low rent
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a written employment contract and monthly salary payments
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varied tasks and a high degree of independence
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close cooperation with an experienced farm manager
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the possibility of a longer continuous period of leave around Christmas, by agreement
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assistance with obtaining a tax card, registration and practical matters related to moving to Norway
The employment contract runs until 1 March 2027. Further employment may be possible, but cannot be guaranteed.
During the harvest period, you should expect longer working days and some evening and weekend work.
Accommodation on the farm
We can offer furnished accommodation with a private kitchen, private bathroom and two or three bedrooms. The accommodation is located close to the workplace and is available at a low rent.
By agreement, it may also be suitable for someone who wishes to live with a partner or family. Photos and video can be sent to suitable applicants.
A private car is necessary for shopping and activities away from the farm.
Life at Grefsheim
Grefsheim is located in peaceful and scenic surroundings, with Lake Mjøsa, forest and open countryside just outside the door.
There are excellent opportunities for:
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fishing and boating on Lake Mjøsa
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use of a boat berth by agreement
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walking and hiking in the forest and surrounding countryside
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picking mushrooms and berries
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setting up your own beehives by agreement
The position may be particularly suitable for a person or family who enjoys practical work, nature and a quieter rural lifestyle. Hamar, Brumunddal and Moelv are all within approximately 20--30 minutes by car.
How to apply
You do not need to write a long application. Please send your CV and a short message explaining:
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your experience with tractor driving and farm work
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which machines and agricultural implements you have used
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your experience with carpentry, maintenance and repairs
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when you are available to start
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whether you need accommodation
You are welcome to include references and photographs of previous carpentry work or other practical projects.
The first interview can be held via Teams or WhatsApp. Applications will be reviewed continuously, and we will hire as soon as we find the right person.
Contact
Dagfinn Møller
Phone/WhatsApp: +47 934 80 464
Email: dagfinn@grefsheim.no
Anette Mellbye
Phone: +47 982 03 310
Workplace: Grefsheim Farm, 2350 Nes, Ringsaker, Norway
Om arbeidsgiveren:
Grefsheim Gård ligger ved Mjøsa (ligger på halvøya Nes i Ringsaker).
Gården har 1230 mål dyrket mark (korn, potet, løk), 112 mål bortleid mark og 360 mål utleid beite. 2.300 mål skog/utmark, stor bygningsmasse, ca 4 km strandlinje samt seter på Grimstilen.
About the position
We invite applications for position as PhD Research Fellow in Multisensory Networked Interactions with Robotics Avatars available at Department of Informatics.
The fellowship period is three years. Depending on the candidate and the teaching needs of the department, the fellowship period can be extended either for compulsory work consisting of e.g. teaching and supervision duties and research assistance up top four years.
Starting date as soon as possible.
No one can be appointed for more than one PhD Research Fellowship period at the University of Oslo.
Place of work is the Department of Informatics at Blindern, Oslo.
Job description
The PhD fellowship position is located at the Department of Informatics and is hosted jointly by the Network and Distributed Systems Research Group and the Robotics and Intelligent Systems Research Group. The research groups consist of around 30 full- and part-time faculty members and several postdoctoral researchers and PhD students. The research groups conduct research in various areas of mobile network systems, multimedia and AR/VR/XR systems, robotics and machine learning, focusing on fundamental aspects as well as on applications in multidisciplinary contexts.
This position is part of the DRIVE project, funded by the Research Council of Norway (RCN) (2026-2030), focusing on brain-driven multi-sensory robotic avatars for remote collaborative physical work. The DRIVE project involves Simula Research Laboratory and University of Texas at Austin, USA, as partners. In addition, this PhD candidate will be able to participate and exploit synergies with the National AI Centre for AI and Creativity (MishMash), led by University of Oslo, funded by the RCN (2025-2030).
The successful candidate will join the Sustainable Immersive Networking Lab (SINLAB), a multidisciplinary team working on systems that enable users to act in remote physical spaces and experience the effects of their actions through multimodal feedback (audio, video, haptics). While SINLAB addresses applications in health, industry, education, sports, entertainment and creative domains, the focus of the PhD candidate will be on remote collaborative physical work especially the real-time interaction among humans and between humans and a remote environment.
The main challenge with such networked interactions is that haptic feedback has very stringent delay requirements as low as 20 milliseconds. Therefore, performing such actions remotely with both action and reaction traversing long distances is far beyond our technical capabilities today. Even the developments in 5G and beyond networks that specifically target significant latency reductions are not sufficient due to physical as well as resource limitations.
The core research objective of this PhD is to design and evaluate “latency hiding” methods for immersive networked interactions. This involves (i) developing predictive machine learning models that forecast user actions and remote system responses across audio, video and haptic modalities, and (ii) jointly orchestrating network and computing resources to compensate for the gap between physical latency limits and human perceptual tolerances. The work will comprise designing networking and computing architectures that integrate prediction and control algorithms, optimizing data transformations, offloading and distributed computing, and exploiting mechanisms such as network slicing and multi-access edge computing. The overarching goal is to guarantee perceptual latency budgets and to devise embodiment recovery strategies when these budgets are exceeded, enabling consistent, realistic and cognitively coherent remote physical interaction with robotic avatars.
What skills are important in this role?
The Faculty of Mathematics and Natural Sciences has a strategic ambition to be among Europe’s leading communities for research, education and innovation. Candidates for these fellowships will be selected in accordance with this, and expected to be in the upper segment of their class with respect to academic credentials.
Required qualifications:
- Master’s degree or equivalent in informatics, computer science/engineering, electrical/electronic engineering, cybernetics, robotics or a closely related field
- Foreign completed degree (M.Sc.-level) corresponding to a minimum of four years in the Norwegian educational system
- Documented experience in computer networks especially in mobile networks and/or edge-cloud continuum
- Document knowledge about the system performance evaluation of computer systems and networks for interactive applications, preferably with AR/VR/XR, robotics, haptics, multimodal or multimedia systems. Directly relevant areas are preferable
- Documented knowledge in machine learning methods, especially hands-on experience with time series data
- Documented hands-on programming experience
- Fluent oral and written communication skills in English
Candidates without a master’s degree have until June 30, 2026 to complete the final exam.
Desired qualifications:
- It is an advantage if the applicant has developed working systems, prototypes, or emulators
- It is an advantage if the applicant has developed software in fields such as AR/VR/XR, robotics, haptics, multimedia systems or computer games requiring hand-eye-coordination
- It is an advantage if the applicant has experience in resource allocation aspects of 5G/6G networks, or relevant technologies such as edge computing
- It is an advantage to have experience with scientific writing and publication
Language requirement:
- Good oral and written communication skills in English
- English requirements for applicants from outside of EU/ EEA countries and exemptions from the requirements:
https://www.mn.uio.no/english/research/phd/regulations/regulations.html#toc8
Grade requirements:
The norm is as follows:
- The average grade point for courses included in the Bachelor’s degree must be C or better in the Norwegian educational system
- The average grade point for courses included in the Master’s degree must be B or better in the Norwegian educational system
- The Master’s thesis must have the grade B or better in the Norwegian educational system
The purpose of the fellowship is research training leading to the successful completion of a PhD degree. For more information see:
http://www.mn.uio.no/english/research/phd/
All candidates and projects will have to undergo a check versus national export, sanctions and security regulations. Candidates may be excluded based on these checks. Primary checkpoints are the Export Control regulation, the Sanctions regulation, and the national security regulation.
What are we looking for in you?
Personal skills:
- The applicant must be comfortable and capable working in an open, interactive, collaborative work environment
- The applicant must demonstrate the social responsibility and ethical awareness required to design, organize, and conduct user studies
- The applicant must demonstrate good communication and collaboration skills
- The applicant must demonstrate positive attitude and the ability to handle hectic periods
- You are a person who prefers being present at work and actively contributes to the professional and social environment you are a part of
Employment in the position is based on a comprehensive assessment of all qualification requirements applicable to the position, including personal qualifications.
We can offer you
- A pleasant and stimulating work environment
- Good welfare schemes
- Opportunity of up to 1.5 hours a week of exercise during working hours
- A workplace with good development and career opportunities
- Career development programmes
- Membership in the Statens Pensjonskasse, which is one of Norway's best pension schemes with beneficial mortgages and good insurance schemes
- Oslo’s family-friendly surroundings with their rich opportunities for culture and outdoor activities
- Salary in position as PhD Research Fellow, position code 1017 in salary range NOK from 550 800 - 595 000, depending on competence and experience. From the salary, 2 percent is deducted in statutory contributions to the State Pension Fund
We need different perspectives in our work
UiO is an open and internationally oriented comprehensive university that strives to be an inclusive and diverse workplace and academic environment. You can read more about UiO’s work on equality, inclusion, and diversity at uio.no.
We fulfill our mission most effectively when we draw upon our variety of experiences, backgrounds, and perspectives. We are looking for great colleagues, could you be the next one?
We will do our best to accommodate your needs. Relevant adjustments may include modifications to working hours, task adaptations, digital, technical, or physical adjustments, or other practical measures.
If you have an immigrant background, a disability, or CV gaps (Norwegian), we encourage you to indicate this in the job application portal. We always invite at least one qualified candidate from each group for an interview. In this context, disability is defined as an applicant who identifies as having a disability that requires workplace or employment-related accommodations. For more details about the requirements, please refer to the Employer portal (Norwegian).
The selections made in the job application portal are used for anonymized statistics that all state employers include in their annual reports. More information about gender equality initiatives at UiO can be found here.
We hope you will apply for the position with us.
How to apply
The application must include:
- Cover letter - statement of motivation and research interests
- CV (summarizing education, positions and academic work - scientific publications)
- Transcripts of records, copies of the original Bachelor and Master’s degree diploma (see below)
- Letters of recommendation
- Documentation of English proficiency if applicable
- List of publications and academic work (if any) that the applicant wishes to be considered by the evaluation committee
- Names and contact details of 2-3 references (name, relation to candidate, e-mail and telephone number)
Application with attachments must be submitted via our recruitment system Jobbnorge, click "Apply for this job". Foreign applicants should attach an official explanation of their University's grading system.
When applying for the position, we ask you to retrieve your education results from Vitnemålsportalen.no. If your education results are not available through Vitnemålsportalen, we ask you to upload copies of your transcripts or grades. Please note that all documentation must be in English or a Scandinavian language.
General information
The best qualified candidates will invited for interviews.
Applicant lists can be published in accordance with Norwegian Freedom of Information Act § 25. When you apply for a position with us, your name will appear on the public applicant list. It is possible to request to be excluded from this list. You must justify why you want an exemption from publication and we will then decide whether we can grant your request. If we can't, you will hear from us.
Please refer to Regulations for the Act on universities and colleges chapter 3 (Norwegian), Guidelines concerning appointment to post doctoral and research posts at UiO (Norwegian) and Regulations for the degree of Philosophiae Doctor (PhD) at the University of Oslo.
The University of Oslo has a transfer agreement with all employees that is intended to secure the rights to all research results etc.
Om arbeidsgiveren:
The University of Oslo is Norway’s oldest and highest rated institution of research and education with 26 500 students and 7 200 employees. Its broad range of academic disciplines and internationally esteemed research communities make UiO an important contributor to society.
The Department of Informatics (IFI) is one of nine departments belonging to the Faculty of Mathematics and Natural Sciences. IFI is Norway’s largest university department for general education and research in Computer Science and related topics.
The Department has more than 1800 students on bachelor level, 600 master students, and over 240 PhDs and postdocs. The overall staff of the Department is close to 370 employees, about 280 of these in full time positions. The full time tenured academic staff is 75, mostly Full/Associate Professors.
About the position
A three-year position as Postdoctoral Research Fellow in machine learning and artificial intelligence in epidemiology is available at the Department of Public Health and Interdisciplinary Health Science, Institute of Health and Society, Faculty of Medicine, University of Oslo.
The position is linked to the project LINDA-FAMILIA – Implementation of an Integrated Digital Health System for Infectious Diseases in Maternal and Child Health in East Africa, a Horizon Europe/Global Health EDCTP3 project.
The postdoctoral fellow will contribute to a work package on clinical research co-led by the University of Oslo and the Uganda National Institute of Public Health.
Up to 10% of the position will be devoted to career-promoting work, primarily teaching and supervision in machine learning and artificial intelligence for master students in epidemiology.
About the project:
LINDA-FAMILIA will do research within digital eRegistries for reproductive, maternal, newborn and child health services in four regions in East Africa: Addis Ababa Region, Ethiopia; Eastern Province, Rwanda; Kilimanjaro Region, Tanzania; and Lango sub-Region, Uganda.
The eRegistries are deployed to replace paper-based health information systems and support clinical care, disease surveillance and research through harmonized longitudinal individual-level data across the four countries. The systems include clinical decision support, referral coordination, targeted client communication, data management and interoperability.
The project will demonstrate the scientific value of these routinely collected real-world eRegistry data for multi-country clinical and epidemiological research on poverty-related infectious diseases in maternal, perinatal, neonatal and child health.
More about the position
The postdoctoral fellow will work at the interface of epidemiology, causal inference, prediction modelling, responsible AI, digital health and global maternal and child health.
The work will include development and application of machine learning and AI methods to large-scale, longitudinal, routinely collected eRegistry data. The successful candidate will collaborate with researchers, PhD candidates, postdoctoral fellows, public health institutions and Ministries of Health in Ethiopia, Rwanda, Tanzania and Uganda, as well as partners in Europe.
Some international travel for project meetings, workshops and collaboration with country teams should be expected.
A career plan shall be developed for the Postdoctoral Fellow, specifying the competencies the Postdoctoral Fellow should acquire. UiO is responsible for following up on the career plan and ensuring that the Postdoctoral Fellow has access to career guidance throughout the postdoctoral term.
Up to 10% of the position will be devoted to career-promoting work, primarily teaching and supervision in machine learning and artificial intelligence for master students in epidemiology.
The duration of appointment is 3 years.
Your areas of responsibility will be
The successful candidate will:
- Develop and apply machine learning and AI methods for epidemiological research using longitudinal eRegistry data.
- Contribute to comparative epidemiological studies across countries and data systems.
- Apply causal inference and targeted learning methods, including TMLE and Super Learner approaches where relevant.
- Contribute to the development and validation of risk prediction models for severe maternal, perinatal, neonatal and child outcomes related to poverty-related infectious diseases.
- Contribute to geospatial epidemiology analyses using GIS-linked eRegistry data.
- Develop reproducible R-based analysis pipelines, including support for DataSHIELD or other privacy-preserving/distributed analyses.
- Contribute to data harmonization, data quality assessment, missing data strategies, data anonymization and data sharing procedures.
- Contribute to protocols, statistical analysis plans and reporting for the registry-based cluster randomized trial of SMS and automated voice messaging reminders.
- Collaborate with and support researchers in the partner countries, including training and capacity-building activities.
- Publish results in peer-reviewed journals and present findings at international conferences and project meetings.
- Contribute to teaching and supervision in machine learning and AI for master students.
Qualifications
You must have:
- A degree equivalent to a Norwegian doctoral degree in epidemiology, biostatistics, statistics, machine learning, artificial intelligence, computer science, health data science, public health, medicine with strong quantitative methods, or a closely related field.
- The doctoral dissertation must be submitted for evaluation by the application deadline. Appointment is dependent on the public defense of the doctoral thesis being approved before the start of employment.
- Documented competence in statistical modelling, machine learning, artificial intelligence, causal inference, prediction modelling or related quantitative methods.
- Experience with analysis of large, complex health data, such as longitudinal data, registry data, electronic health records, cohort data or trial data.
- Strong programming skills in R, Python or equivalent scientific computing languages. Strong R skills are particularly relevant for this project.
- Excellent written and oral communication skills in English.
Desired qualifications:
Experience with one or more of the following will be considered an advantage:
- Maternal, perinatal, neonatal or child health epidemiology.
- Infectious disease epidemiology, poverty-related diseases or global health research in low- and middle-income countries.
- Digital health, DHIS2, eRegistries, electronic health records or routine health information systems.
- Targeted learning, TMLE, Super Learner, ensemble methods, causal machine learning or related methods.
- Geospatial epidemiology and GIS methods.
- DataSHIELD, federated learning or distributed multi-country data analysis.
- Registry-based trials, cluster randomized trials or pragmatic trials.
- Responsible AI, model validation, calibration, interpretability, bias assessment or fairness in health research.
- Teaching or supervision in epidemiology, machine learning, AI, biostatistics or health data science.
- Norwegian or another Scandinavian language is an advantage, but not a requirement.
Personal qualities
We are looking for a candidate who:
- Is motivated to develop an independent research profile in machine learning and AI for epidemiology.
- Can work independently and systematically.
- Has strong analytical and problem-solving skills.
- Enjoys interdisciplinary and international collaboration.
- Communicates well with researchers, clinicians, statisticians, software developers and public health partners.
- Contributes to a collegial and inclusive working environment.
Personal suitability will be emphasized.
We need different perspectives in our work
UiO is an open and internationally oriented comprehensive university that strives to be an inclusive and diverse workplace and academic environment. You can read more about UiO’s work on equality, inclusion, and diversity at uio.no.
We fulfill our mission most effectively when we draw upon our variety of experiences, backgrounds, and perspectives. We are looking for great colleagues—could you be the next one?
We will do our best to accommodate your needs. Relevant adjustments may include modifications to working hours, task adaptations, digital, technical, or physical adjustments, or other practical measures.
If you have an immigrant background, a disability, or CV gaps, we encourage you to indicate this in the job application portal. We always invite at least one qualified candidate from each group for an interview. In this context, disability is defined as an applicant who identifies as having a disability that requires workplace or employment-related accommodations. For more details about the requirements, please refer to the Employer portal (Norwegian).
The selections made in the job application portal are used for anonymized statistics that all state employers include in their annual reports.
More information about gender equality initiatives at UiO can be found here.
We hope you will apply for the position with us.
We offer
- A three-year postdoctoral position in an international and interdisciplinary research project.
- Opportunity to develop an independent research profile in machine learning, AI and epidemiology.
- Collaboration with research and public health partners in Norway, Ethiopia, Rwanda, Tanzania, Uganda and Europe.
- Access to a large international project working with real-world maternal and child health data.
- Career development support through the Faculty of Medicine’s postdoctoral program and an individual Career Development Plan.
- Committed colleagues in a good working environment.
- Good welfare schemes.
- Opportunity of up to 1.5 hours a week of exercise during working hours.
- A workplace with good development and career opportunities.
- Membership in the Statens Pensjonskasse, which is one of Norway's best pension schemes with beneficial mortgages and good insurance schemes.
- Salary in position as Postdoctoral Fellow, position code 1352 in salary range NOK from 610 000 to 720 000, depending on competence and experience. From the salary, 2 percent is deducted in statutory contributions to the State Pension Fund.
- Oslo’s family-friendly environment with rich opportunities for culture and outdoor activities.Exciting and meaningful tasks in an organization with an important societal mission, contributing to knowledge development, education, and enlightenment that promote sustainable, fair, and knowledge-based societal development.
Read more about the benefits of working in the public sector at Employer Portal.
Application
Your application should include:
- Application letter.
- CV.
- A complete list of publications.
- Project description.
- Transcripts and certificates.
- Contact information for 2-3 references.
Application with attachments must be submitted via our recruitment system Jobbnorge, click "Apply for the position".
When applying for the position, we ask you to retrieve your education results from Vitnemålsportalen.no. If your education results are not available through Vitnemålsportalen, we ask you to upload copies of your transcripts or grades. Please note that all documentation must be in English or a Scandinavian language.
General information
The best qualified candidates will invited for interviews.
Applicant lists can be published in accordance with Norwegian Freedom of Information Act § 25. When you apply for a position with us, your name will appear on the public applicant list. It is possible to request to be excluded from this list. You must justify why you want an exemption from publication and we will then decide whether we can grant your request. If we cannot, you will hear from us.
Please refer to Regulations for the Act on universities and colleges chapter 3 (Norwegian) and Guidelines concerning appointment to recruitment positions at UiO.
The University of Oslo has a transfer agreement with all employees that is intended to secure the rights to all research results etc.
Om arbeidsgiveren:
The University of Oslo is Norway’s oldest and highest ranked educational and research institution, with 26 500 students and 7 200 employees. With its broad range of academic disciplines and internationally recognised research communities, UiO is an important contributor to society.
The Institute of Health and Society is one of three institutes at the Faculty of Medicine at the University of Oslo. The Institute covers various disciplines and consists of six departments: General Practice, Health Sciences, Health Management and Health Economics, Medical Ethics, Community Medicine and Global Health and Public Health Science.
The Institute of Health and Society bases its work on a complex understanding of disease, health and health systems. Culture, environment, economics, society and biology play direct and indirect roles. Our teaching responsibilities include seven Master’s programs, one Bachelor program and part of the Faculty’s medical school and PhD-program. We employ about 220 FTE and have almost 700 Bachelor and Master students. Annual income is about 200 mill NOK, half of which is external funding. Our researchers play an active part of public policy and disseminate new knowledge through many channels.
Dansk (English below)
Vi søger en engageret og ansvarsbevidst fuldtidsmedarbejder til vores pizzeria. Du bliver
en vigtig del af et travlt, men velfungerende køkken, hvor kvalitet, samarbejde og god
stemning er i fokus.
Dine opgaver:
Tilberedning af pizza og øvrige retter•
Forberedelse af råvarer (snitning, klargøring m.m.)•
Rengøring og oprydning i køkkenet•
Bidrage til et effektivt og positivt arbejdsmiljø•
Vi forventer, at du:
Har erfaring fra køkken eller pizzabageri (oplæring kan tilbydes)•
Er mødestabil, ansvarsbevidst og kan arbejde selvstændigt•
Trives i et travlt miljø og kan bevare overblikket•
Kan kommunikere på dansk eller engelsk (andre sprog er en fordel)•
Vi tilbyder:
Fuldtidsstilling i et professionelt og venligt team•
Et uformelt, men seriøst arbejdsmiljø•
Mulighed for udvikling og mere ansvar over tid•
Hurtig opstart – samtaler afholdes løbende•
Lyder det som noget for dig?
Send din ansøgning og evt. CV.
Vi glæder os til at høre fra dig!
Kitchen staff wanted for pizzeria
We are looking for a dedicated and responsible full-time employee for our pizzeria. You
will become an important part of a busy but well-functioning kitchen, where quality,
teamwork, and a positive atmosphere are key.
Your tasks:
Preparing pizzas and other dishes•
Preparing ingredients (cutting, organizing, etc.)•
Cleaning and tidying up in the kitchen•
Contributing to an efficient and positive work environment•
We expect that you:
Have experience from a kitchen or pizzeria (training can be provided)•
Are reliable, responsible, and able to work independently•
Thrive in a busy environment and can stay focused under pressure•
Can communicate in Danish or English (other languages are a plus)•
We offer:
Full-time position in a professional and friendly team•
An informal yet serious work environment•
Opportunities for development and more responsibility over time•
Immediate start – interviews are held on an ongoing basis•
Does this sound like the right job for you?
Send your application and CV.
We look forward to hearing from you!