PhD Candidate in Modelling Marine Larval Dispersal and Spatial Population Genetics and Demography

About this job

https://www.youtube.com/watch?v=_KHQjc4ndas&t=41s About the position A fully-funded PhD position in modelling marine larval dispersal and spatial population genetics and demography is available at the Department of Biology, Norwegian University of Science & Technology (NTNU) under the supervision of Associate Professor Scott Burgess. NTNU’s Department of Biology hosts internationally leading research activity in ecology, evolutionary biology, physiology, marine science and technology, and cell & molecular biology. As a PhD Candidate with us, you will work to achieve your doctorate, and at the same time gain valuable experience that qualifies you for a further career in higher education and research, in and outside academia. About the project The PhD position is aligned with a research program that has the overall aim of providing new understanding of the processes that affect marine larval dispersal and gene flow, how we measure it with genetic data, and how we use that information to predict the genetic and demographic responses of spatially structured marine populations to environmental variation and change. Specifically, the primary focus of the PhD will be to understand how complex coastlines, ocean circulation, and biology (e.g., reproductive systems and phenology, larval behavior and survival) interact to affect the spatial structure of the genetic and demographic properties of marine populations. There is flexibility, and an expectation, for candidates to develop their own line of research within this broad scope. For example, projects could focus on combining simulations using spatial-genetic-demographic individual based models (e.g., using the software SLiM), machine learning approaches, and genomic data to estimate larval dispersal distances from the spatial structure of genetic genealogies across the genome, and the genetic relatedness among individuals; or develop and use biophysical models (hydrodynamics + particle tracking) to understand the demographic and genetic dynamics of marine metapopulations and adaptation to environmental change. The PhD position provides an exciting opportunity to gain broad experience and expertise working at the interface of population genetics and demography, oceanography, and computer science. It will provide broad training in research skills, and will suit a candidate who is curious and is motivated to undertake high-level research to gain skills in computational methods and software tools to understand large, complex biological data. The position will be hosted within a dynamic international research group based at NTNU, with strong links to local and international collaborators. There will be opportunities for conference and workshop participation. The project supervisor will be Associate Professor Scott C. Burgess (Department of Biology, NTNU). Your immediate leader will be the head of department. Duties of the position Complete the doctoral education until obtaining a doctorate. Learn and apply advanced statistical and computational methods to analyze genetic data generated from simulations, outputs from biophysical models, or empirical genomic data to answer questions in spatial population genetics and marine metapopulation dynamics. Contribute to generating and managing reproducible computer code and workflows. Produce a high-quality PhD thesis, comprising of manuscripts suitable for publication in international peer-reviewed journals. Participate in international activities such as conferences and/or research stays at foreign educational institutions. Produce presentations for research dissemination. Contribute to building a collaborative and interactive local and international research team. Undertake teaching and other professional activities, as agreed with the Department of Biology. Be prepared for changes to your work duties after employment. Required selection criteria You must meet the requirements for admission to the faculty’s Doctoral Programme. In particular, your previous education must be equivalent to a five-year Norwegian degree programme. Your degree must include a major independent project (minimum 30 ECTS) equivalent to a master’s thesis. This corresponds to an undergraduate Bachelor degree and typically a 2-year Master’s degree. You must have a strong and relevant academic background from your previous studies and have an average grade from your Master's degree study, or equivalent education, which is equal to B or better compared to NTNU's grading scale. If you do not have letter grades from previous studies, you must have an equally good academic foundation. If y

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