Scientist Position within Data-driven Ocean Modeling

Scientist Position within Data-driven Ocean Modeling

Modern meteorology and oceanography requires management and analysis of enormous amounts of data, and offers great and exciting professional challenges. Since the institute was established in 1866, Norwegian meteorologists and scientists have played a key role in this development.

The Norwegian Meteorological Institute (MET Norway) is today an internationally leading operational forecast and research institution with expertise in operational meteorology, oceanography and climate science. The primary area of interest coincides with the national focus area, northern Europe, North Atlantic and the Arctic. The division for Ocean and Ice conducts world class research and operates 24 / 7 forecasting of storm surge, ocean currents, hydrography, waves, and sea-ice on regional to coastal scales. These models provide input to downstream services such as oil spill drift models and search-and-rescue support. The work is carried out in collaboration with national and international partners.

Data-driven methods have a great potential for making our ocean and sea-ice forecasting systems more computationally efficient, and also make them more accessible for cross-disciplinary work relevant to marine ecosystems and the blue economy. We also acknowledge that other institutions, both in Norway and abroad, are investing substantial resources in the development of data-driven methods relevant to our core mandate, and it is therefore essential to establish and maintain strong links with other groups in the field. We are therefore announcing a permanent position for a scientist focusing on both data-driven ocean modeling, science dissemination, and external collaboration on methods developments. The position is based at the Division of Ocean and Ice in Oslo and collaborate with experienced scientists at MET Norway as well as partner institutions in Norway and abroad.

In this role, you will serve as AI coordinator in the Division for Ocean and Ice to coordinate and participate in the development of data-driven models for prediction of ocean weather. The work is organised through externally funded projects, and you should engage in national and EU funding opportunities to support the division's ambition to be at the forefront of operational oceanography. In addition, you will take an active role in scientific dissemination towards both experts and the public.

Qualifications and expected experience

• PhD in oceanography, meteorology, physics, cybernetics or applied mathematics is required
• Sound understanding of physical oceanography and experience in numerical modeling
• Knowledge of general ML methods, and in particular application of data-driven prediction for geophysical applications
• Knowledge of contemporary ocean modeling and data assimilation techniques is required
• Experience with international collaboration through e.g. science expert task teams, project consortia, etc is desired
• The candidate should bring an established network in relevant science fields
• Proven experience with science communication and outreach is required
• Success with peer-review publishing of results is expected
• Particular emphasis will be given on the candidates ability to work as part of a team

Expected technical skills include

Independence and self-motivation as well as excellent work ethic and commitment to the job are expected.

Diversity and positive discrimination

We believe that diversity is a strength, and want employees with different skills, subject combinations, work experience, gender, life experience and perspectives.We encourage all qualified candidates to apply for a job with us regardless of ethnic background, age or ability.

We practice positive discrimination, and will call at least one qualified applicant in each of these groups for an interview : applicants with a disability, immigrant background or gaps in the CV.To be considered in one or more of these categories, you mustmark the appropriate category in your application.

Functional impairment : applicants who need accommodation in the workplace or in the working relationship.

Immigrant background : applicants who have themselves immigrated to Norway. Or who was born in Norway with two parents who both immigrated to Norway.

Gaps in CV : applicants who have had a break from work, education or training for a total of at least two years in the last five years due to e.g. physical or mental illness or injury, intoxication or punishment.

The ticks can be used for anonymised statistics or reporting purposes.

Publication of applicant listsfor public sector positions is an important principle to ensure transparency. If you want your name to be excluded from the applicant list, you must ask for it yourself, and give us a reason. In order to be exempted from the public applicant list, your justification for exemption must outweigh the consideration of transparency in the applicant list. If your request is not accepted, you will have the opportunity to withdraw your application.

The application

The application with CV and other attachments is sent electronically via Jobbnorge.no. Attach certificates and all pages of diplomas. The documents must be in Norwegian, a Scandinavian language or English. Translations must be authorized. Before any employment, we will check the documents. In the case of foreign education, we ask that you attach an explanation of the grading system.

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