In NORCE Environment department, there is a vacant 100% ph.d position in the field of digital aquculture, for the duration of 3 years.
Are you interested in helping the aquaculture industry become more sustainable? Do you have a masters degree in fish biology and/or data analytics?
We are looking for a candidate eager to integrate biological and environmental information through data analytics and AI to contribute to one of the hot topics in aquaculture today, namely, how and when should feed be presented to the fish. The feed is the single most costly component in fish production and a major cause of over-fertilization in the environment. How and when the fish will eat is a core principle to improving feeding strategies. Therefore, a central question to address is: Is it possible to establish a foundation for computationally modelling of fish appetite behavior? The ph.d position is an open position, i.e. not tied to any particular ongoing project, so the candidate will be given flexibility to develop their main research questions around this theme.
As part of the NORCE strategy on Digital Fish & Aquaculture, the ph.d candidate should come with a solid fish biology and/or technology background with the experience and/or interest to develop real-time biological information. The candidate will be expected to take into consideration some of the following biological parameters and technologies to advance the field. The thesis will focus on obtaining real-time information and automated analysis on the fish through 1) cameras, 2) sonar, 3) individual fish-tagging/telemetry. This information will be and integrated with environmental information to be able to identify some of the following: biomass, fish movement and classified behaviours (e.g. feeding, aggression, stress), fish physiological responses (heartbeat, gill movement). The areas of application could include: image analysis, data analysis algorithms, machine learning, artificial intelligence, fish biology & behavior, data fusion, automation.
The candidate will be enrolled as a ph.d student at the University in Bergen (Department of Biology or Applied Mathematics depending on the candidate).
Tentative starting date: December 1st, 2020 or upon agreement.
The work tasks for this position will be:
Investigate, develop and apply relevant research and methods on smart feeding models.
Work closely with other team members, to integrate the developed methods into the practical use in applications in aquaculture.
Communicate and disseminate research results and findings internally and externally, in meetings, workshops, conferences and peer- reviewed publications.
Complete a ph.d program including the required coursework at the University in Bergen.
Carry out research in collaboration with the project team and publish the results in international refereed journals.
M.Sc. degree in one of the following areas: fish biology, mathematics, physics, statistics, computer science, or any other relevant natural science or engineering discipline.
We give preference to applicants with appropriate background and experience in fish behavior, data fusion, data analysis algorithms, AI or automation.
Documented qualifications in written and oral English as requirements for Norwegian Higher Education.
We can offer
A stimulating and professionally challenging working environment
Salary in accordance with the Civil Service pay grade table scale for PhD students
Good pension and insurance terms.
How to apply
For more information about the position, you can contactProf. Lars Ebbesson (email@example.com) or HR adviser Julia Dale(firstname.lastname@example.org).
The application should be submitted electronically on jobnorge.no by using the button “Apply for this job”.
The application must contain the following:
Cover letter detailing experience and motivation for applying
Certified copies of diplomas and transcripts
Name, title and e-mail address of at least two persons willing to provide references.
Application deadline: October 30th, 2020.
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