Lead AI postdoctoral research fellow position within the field of weather and climate extremes

Universitetet i Bergen

Bergen, Vestland
kr 615.700 pr år
Midlertidlig
Fulltid

1 måned siden

Lead AI postdoctoral research fellow position within the field of weather and climate extremesUiB - Knowledge that shapes societyThrough robust and close interaction with the world around us – globally, nationally and locally – we shall be instrumental in building a society based on knowledge, skills and attitudes.Do you want to take part in shaping the future?Postdoctoral Research Fellow positionAt the , there is a vacancy for a postdoctoral research fellow position within the field of weather and climate extremes.The position is for a fixed term of 3 years and is associated with the (BCCR).The position is open to an incoming candidate, seeAbout the host research group and research themeCurrent data-driven Artificial Intelligence – Machine Learning (AI-ML) approaches to assess extreme weather and climate events struggle to cope with events outside their training regimes (such as unprecedented extremes under climate change). Ensembles of future climate scenarios provide a wealth of data for training, but we lack sufficient understanding of the circulation precursors of extreme events (floods, droughts, blizzards, windstorms) to employ such simulations in a reliable fashion. This understanding is key for advancing our ability to both simulate and assess extreme events using numerical models. Current approaches for precursor identification rely on expert knowledge of meteorology and climate dynamics to distill information from reanalysis products and ensemble forecasts, picking out the circulation conditions and features that tend to precede extreme events. With the continual expansion in the amount and types of data available, we now have new opportunities to explore the added value of data-driven enhancements to these approaches. Such enhancements could involve techniques to refine known drivers and identify new drivers, algorithms to handle processes operating on different spatiotemporal scales, causal inference methods to detect the direction of information flow and uncover extremely rare or unprecedented situations. Ultimately, the goal of the project is to develop novel AI-ML frameworks for identifying circulation precursors in climate model output, allowing us to reliably evaluate the characteristics (e.g., frequency, intensity, magnitude) of extreme events in simulations of present and future climate.About the LEAD AI fellowship programmeLEAD AI is the University of Bergen's career and mobility fellowship program for training 19 postdoctoral fellows in artificial intelligence.The program has received funding from the European Union’s Horizon Europe research and innovation programme under the Marie Skłodowska-Curie Grant Agreement No. 101126560.The LEAD AI programme offers high-quality inter- and transdisciplinary research and training opportunities in the area of artificial intelligence supported by a dedicated supervision and mentoring, encouraging inter-sectoral exposure, in particular

academic freedom benefits from knowledge and skills transfer between disciplines, organisations and sectors
structured, skill-based training
high-quality working conditions
personal career support
equal opportunities

For more information see the webpage or send an email to leadai@uib.noQualifications and personal qualities

Applicants must hold a Norwegian PhD or an equivalent degree in meteorology, atmospheric sciences, climate or oceanography. PhD-students may apply if defence of the PhD-thesis is completed by 31 October 2024. It is a condition of employment that the PhD has been awarded.
Applicant should have a genuine interest in AI, and the research proposal must be related to artificial intelligence.
Applicants cannot previously have been employed as a postdoctoral fellow at UiB and they cannot be employed by any other institution for the duration of the fellowship.
A strong background in statistics is required.
Experience in atmospheric dynamics or climate dynamics, basic shell scripting, and python/Matlab/R or similar languages is required.
Experience with AI-related research and/or innovation (including machine learning) is an advantage.
Experience with data-driven analysis methods and large ensembles of climate/weather model output is an advantage.
The LEAD AI

must be followed. * Applicants must be able to work independently and in a structured manner and have the ability to cooperate with others.

Applicants must have excellent skills in oral and written English (self-assessed in the CV and demonstrated in the application).
The application and relevant documents must be in English.

Personal and relational qualities will be emphasized. Research experience, ambitions and potential will also be considered during candidate evaluation.Special requirements for the positionThe University of Bergen is subjected to the regulation for . The regulation will be applied in the processing of the applications.About the position of postdoctoral research fellowThe postdoctoral position is a fixed term position with the primary objective of qualifying the appointee for work in top academic positions. The position may be extended by up to one year (maximum 4 years in total) if the appointee is granted externally financed research stays abroad. Individuals may not be hired for more than one fixed-term period as a postdoctoral research fellow at the same institution.For all LEAD AI fellows, a Personal Career Development Plan (PCDP) will be developed jointly by the fellow, supervisor, and co-supervisor by the end of Month 3 of the fellowship, including a plan for the individual research budget, and information on additional funding where applicable.It is a requirement that the project is completed in the course of the period of employment.We can offer

An engaged and professionally stimulating working environment.
Position as postdoctoral fellow (code 1352 in the basic collective agreement) and a gross annual salary of NOK 615 700,-(equivalent to pay grade 63) upon appointment. Further increases in salary are made according to length of service in the position. A higher salary may be considered for a particularly well-qualified applicant.
Welfare benefits* and social benefits including pension-saving in the Norwegian Public Service Pension Fund, occupational injury insurance, full salary during sick leave for 52 weeks, and paid parental leave**.
Extension of the position term (work contract) due to sick leave and parental leave.
Norwegian language courses free of charge.
High standards for working hours, holidays, place of work, health, and safety.
Access to specific training activities exclusively provided within the framework of the LEAD AI programme.

*) Subject to membership in the .**) Right to paid parental leave requires 6 months paid work before first day of leave. .How to applyBefore starting the online application process, please familiarise yourself carefully with our application requirements in the and . It is essential that all required attachments (see next section) are uploaded via our electronic recruiting system JobbNorge. Before uploading any documents in the portal (to minimise repetition of information):

In the ‘JobbNorge-application field’: Only write your name.
In the ‘JobbNorge-CV form’: Only fill in your 1) personal details, 2) information about your PhD-degree (in the field ‘Academic qualifications’) and 3) recent relevant work experience.
You do not need to fill in any other sections in the JobbNorge form, as all the information we need will be provided by you when attaching the mandatory elements listed in the next section.

Your application must include

A research proposal outlining your contribution towards the thematic area and host research group described above.
A brief account of your motivation for applying for the position.
CV with list of any works of scientific nature (publication list)
Mobility declaration
Ethics and security issues: self-assessment form
An initial self-assessment of opportunities for mandatory and recommended open science practices.
Names and contact information for two referees. One of these should be the main PhD supervisor.
Letters of recommendation from the graduating university or previous employers are encouraged but not mandatory.
Transcripts and diplomas. If you have not yet completed your PhD degree, please submit a statement from your institution confirming the expected date when your degree will be awarded. Your PhD degree must be documented with transcripts and/or diploma, alternatively a confirmation from your institution on the completed degree by 31 October 2024.
Relevant certificates/references

The application and appendices with certified translations into English must be uploaded at JobbNorge.EvaluationWe anticipate the whole evaluation procedure to take approximately 4 months from application deadline. Eligible applicants will be evaluated by three internationally renowned experts and assessed against criteria addressing excellence, impact, implementation, quality of the researcher and training, and knowledge transfer. Details are stated in the .General informationFor further details about the position, please contact:Professor Camille Li, Geophysical Institute, University of Bergen (camille@uib.no)Associate professor Stefan Sobolowski, Geophysical Institute, University of Bergen (stefans@uib.no)For HR related questions contact:Advisor Maria Svåsand, maria.svasand@uib.noThe state labour force shall reflect the diversity of Norwegian society to the greatest extent possible. Age and gender balance among employees is therefore a goal. People with immigrant backgrounds and people with disabilities are encouraged to apply for the position.We encourage women to apply. If multiple applicants have approximately equivalent qualifications, the rules pertaining to moderate gender quotas shall apply.The University of Bergen applies the principle of public access to information when recruiting staff for academic positions.Information about applicants may be made public even if the applicant has asked not to be named on the list of persons who have applied. The applicant must be notified if the request to be omitted is not met.Further information about our employment process can be found .About The University of Bergen (UiB)The University of Bergen is a renowned educational and research institution, organised into seven faculties and approximately 54 institutes and academic centres. Campus is located in the centre of Bergen with university areas at Nygårdshøyden, Haukeland, Marineholmen, Møllendalsveien and Årstad.There are seven departments and several centres at Faculty of Mathematics and Natural Sciences. and

Universitetet i Bergen

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