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Postdoctoral fellow within Data Acquisition and Analysis for the Agricultural Domain

Employer
Global Academy Jobs
Location
Norway
Closing date
Mar 20, 2019

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Sector
Veterinary Medicine
Hours
Full Time
Organization Type
University and College
Jobseeker Type
Academic (e.g. 'Lecturer')

Job Details

The Norwegian University of Life Sciences (NMBU)

NMBU has a special responsibility for research and education that ensures the basis of life for future generations.

Sustainability is rooted in everything we do and we provide knowledge for life.

NMBU has 1700 employees and 5200 students and is organized in seven faculties. NMBU has a campus in Ås and in Oslo. In the autumn of 2020 we are co-located on Ås.

Further information on NMBU is available at www.nmbu.no

About the position

The Faculty of Science and Technology at the Norwegian University of Life Sciences (NMBU) has a vacant two-year postdoctoral position within automated data acquisition and analysis for the agricultural domain.

The postdoctoral fellow will be working on the project “Future Farm - Tomorrow's digital solutions for the farmer”, a three-year research and innovation project partly funded by the Research Council of Norway (duration: 2018 - 2021). Project partners are TINE, Felleskjøpet, Yara, NMBU, University of Minnesota and inFuture.

The Future Farm project aims to increase animal welfare and reduce the environmental footprint of dairy farming. This will be achieved by using technology such as IOT, big data, cloud computing, artificial intelligence, machine learning, and mobile devices to examine the cross section between digitalization and farming.

In order to develop better digital solutions for dairy farmers, the project will focus on how to use data from the entire value chain in milk production, from data gathered in the field during planting and harvesting, data collected on the quality of the forage, data from feeding systems, and all the way through to animal health and milk quality.

The postdoctoral fellow will be working on how to collect these data, how to store them in a cloud-based solution, how to analyze them, and how to use the data to give specific suggestions to the farmer on how to optimize operation.

Main tasks

  • Automated data acquisition in the field
  • Data storage
  • Data analysis, machine learning, AI
  • Using data to make specific suggestions to the farmer on how to optimize operation

 

Qualifications and skills

A relevant master degree in data science, engineering cybernetics, robotics, control, or similar, with very good results, is required. In addition, the candidate must have a completed PhD in a relevant topic as listed above, and must have shown outstanding achievements through his/her work as a PhD. The postdoctoral position will be awarded on a competitive basis. Emphasis will be put on personal qualities and potential as a world-class researcher.

Non-Norwegian-speaking candidates must, as a minimum, document proficiency in English and Norwegian. The following tests can be used as such documentation: TOEFL, IELTS or Cambridge Certificate in Advanced English (CAE) or Cambridge Certificate of Proficiency in English (CPE) and Norwegian Bergen test.

Required qualifications and skills

  • Master and Phd in a relevant topic as listed above
  • Proficiency in mathematical modeling and control, statistical methods
  • Proficiency in machine learning, AI
  • Excellent programming skills
  • Proficiency in both spoken and written English
  • Result-oriented and highly motivated
  • High work capacity
  • Excellent collaboration skills

 

For further information, please contact Professor Pål Johan From by e-mail: pafr@nmbu.no or by phone: +47 90690932

Company

Global Academy Jobs works with over 250 universities worldwide to promote academic mobility and international research collaboration. Global problems need international solutions. Our jobs board and emails reach the academics and researchers who can help.

"The globalisation of higher education continues apace, driving in turn the ongoing development of the global knowledge economy, striving for solutions to the world’s problems and educating a next generation of leaders and contributors."

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