PhD Scholarship in Fishery and Fisheries Ecosystem Impact Modelling; Danish Technical University (DTU-Aqua)

Job Title: 
PhD Scholarship in Fishery and Fisheries Ecosystem Impact Modelling
Job Location: 
Lyngby (campus site), Denmark
Duration: 
3 years
Salary: 
<35000/year
Application Deadline: 
Saturday, April 1, 2017
Description: 

The purpose of DTU Aqua is to provide research, advice and education at the highest international level within the sustainable exploitation of living marine and freshwater resources, the biology of aquatic organisms and the development of ecosystems as well as their integration in ecosystem-based management. The institute has an international research staff comprising approx. 120 academic employees.

Candidates must apply online at: http://www.aqua.dtu.dk/english/About/Vacancies/job?id=c67493da-801b-453d...

Project description
The overall aim is to model the interlinked marine fisheries, fish stock, and benthic habitat/community dynamics and their interactions with focus on ecosystem impacts of fisheries and fisheries management. This involves application and further development of bio-economic spatial and agent-based modelling techniques for simulating individual fishing vessels moving in some (e.g. virtual) marine environment. The project offers opportunity for making significant advance in an important field of fisheries research concerning estimating the various ecological and socio-economics trade-offs among fisheries incomes, the sustainability of the fish stocks harvested, and the impacts and sensitivity of the benthic habitats/communities given different fisheries management options. This further integrates aspects of fishing fleet economics and drivers linked to the varying agent´s decision making. Mitigating fisheries in time and space is considered an attractive management solution provided that recent data can support highly resolved risk assessment model¬ling tools and simulations to document and anticipate potential long term effects and expected related benefits of management scenarios and actions within the ecological-economic system under concern.

The specific purposes are to:

  • Application and further development of bio-economic spatial and agent based modelling and simulation methodology;
  • Estimating ecological and socio-economics trade-offs of management scenarios with respect to fisheries economic effects, harvested stock sustainability, and benthic impacts;
  • Evaluate fisheries interactions with occupation of space by other marine sectors (renewable energy, large marine constructions, aquaculture, transport/shipping, conservation such as Natura2000 areas / benthic sensitive habitats,  etc.) with respect to their ecological-economic effects;
  • Modelling fisheries with fine spatial resolution to enable local and regional maritime spatial planning (MSP);
  • Literature review of empirical studies to incorporate the effect of fishing pressure on benthic habitats per type of fishing gear;
  • Participate in coupling the bio-economic spatial and agent based modelling tool to a state-of-the-art spatial fish population modelling framework concerning resource ocurrence.

The focus case study will be the Baltic and North Sea areas and the main modelling platform tool to be used and expanded will be DISPLACE (www.displace-project.org)

Qualifications
We are looking for a candidate who has:

  • Master of Science (M.Sc.) degree in Aquatic Science & Technology or similar;
  • Previous experience in marine and fisheries research, and population, fisheries and ecosystem dynamics;
  • Proven experience and strong skills in modelling and  quantitative and statistical analyses;
  • Proficiency in at least two programming languages among R and Matlab, C++, Python and GIS;
  • Interests and preferences for agent based modelling;
  • Knowledge on (fisheries) economics;
  • Proficiency in written and spoken English;
  • Keen interest in desk-only research and for working within the field of marine and aquatic sciences.
Please note that all jobs are automatically removed once the application deadline passes. Jobs without a deadline are automatically removed after 30 days.