The Faculty of Science and Technology at the Norwegian University of Life Sciences (NMBU) has a vacant PhD–position related to aquaculture. The PhD position is for a period of 3 years, or up to 4 years if teaching and other work duties are agreed.
Optimizing the cage environment by using technology to reduce lice turn-on and stabilize oxygen concentration at an acceptable level can result in significant financial gain due to fewer delusions, better growth, and lower mortality.
Optimization of the cage environment requires a substantial amount of data on the relevant parameters and the factors that influence them. Surveys show little available data on water quality parameters in cages and that there is uncertainty about the data's validity and reliability.
The work aims are to provide data for optimizing the environment in a semi-closed cage, as well as developing a model tool for optimal oxygenation.
Main tasks
Planned activities during the project period:
Literature review
Data capture in cages for use in optimizing cage environment (selection of sensor technology, location of sensors, data quality)
Data processing and analysis
Development of a model for optimal oxygenation in semi-closed systems
The successful candidate is expected to enter a plan for the progress of the work towards a PhD degree during the first months of the appointment, with a view to completing a doctorate within the PhD scholarship period.
Competence
The successful applicant must meet the conditions defined for admission to a PhD programme at NMBU. The applicant must have an academically relevant education corresponding to a five-year Norwegian degree programme, where 120 credits are at master's degree level. Candidates submitting MSs thesis by 30. June 2021 may be considered. The applicant must have a documented strong academic background from previous studies and document proficiency in both written and oral English. For more detailed information on the admission criteria please see the NMBU PhD Regulations sections 5, and the supplementary provisions for Science and technology.
Required academic qualifications:
Master degree or equivalent in Industrial economics or aquaculture engineering
Desired academic qualifications
Aquaculture production
Knowledge on computer science, statistics, mathematical modelling and programming
The applicant must document expertise and interest in the research subject.
Required personal skills
Ability for independent work displaying creativity and reflective thinking
Analytical and academic approach to research questions
Good collaborative/social skills
Proficiency in Norwegian and English, both written and spoken (please see Norwegian and English language requirements in PhD regulations at NMBU)
The main criteria for evaluating the applicants includes their academic records, and scientific capacity and achievements along the below outlined preferences; particularly originality, independence as well as ability to work in a team. Selected applicants will be invited for an interview or online interview as a part of the evaluation. The studies will be based at the Faculty of Science and Technology (REALTEK), NMBU, Campus Ås.
Application
To apply online for this vacancy, please click on the 'Apply for this job' button above. This will route you to the University's Web Recruitment System, where you will need to register an account (if you have not already) and log in before completing the online application form.
Application deadline: 25.04.2021
Applications should include (electronically) a letter of intent, curriculum vitae, full publication list, copies of degree certificates and transcripts of academic records (all certified), and a list of two persons who may act as references (with phone numbers and e-mail addresses). Proof of English proficiency must be attached in accordance with NMBU PhD regulation section 5-2 (3).
Publications should be included electronically within the application deadline.
Printed material which cannot be sent electronically should be sent by surface mail to the Norwegian University of Life Sciences, Faculty of Science and Technology, P.O. Box 5003, NO-1432 Ås, within 25.04.2021. Please quote reference number 21/01472.
If it is difficult to judge the applicant’s contribution for publications with multiple authors, a short description of the applicant’s contribution must be included.
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