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DTU, Denmark – PhD position in Data science, Marine ecology, Oceanography

Technical University of Denmark (DTU)

Denmark

Apply Before the Deadline

Oct 26, 2021 23:59 (GMT +2)

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A PhD position on data science is available at the National Institute of Aquatic Resources at the Technical University of Denmark (DTU Aqua) from January 2022.

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General Info

Position: PhD position
No. of Positions: 1
Research Field: , ,
Deadline to Apply: October 26, 2021(GMT +2)
Joining Date: Jan 2022
Contract Period: 3 Years
Salary: According to Standard Norms

Workplace:
National Institute of Aquatic Resources(DTU Aqua)
Technical University of Denmark
Technical University of Denmark (DTU)
Lyngby,

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Qualification Details

Candidates for the PhD position should have a two-year master's degree (120 ECTS points) or a similar degree with an academic level equivalent to a two-year master's degree.

We are looking for candidates with:

  • An excellent background knowledge and experience in handling and analysing large data (e.g. satellite and in-situ observations)
  • Proven skills on advanced statistical modeling
  • Ability to develop the project across disciplines (e.g. data science, marine ecology, oceanography, mathematics, etc.)
  • Flexibility concerning research stays abroad
  • Good communication skills in English, both written and orally
  • Ability to conduct research independently and problem solving skills
  • Strong interest in participating in an inter-disciplinary and international research environment
  • Willingness to contribute to a positive and inspirational work atmosphere

Responsibilities/Job Description

Marine ecosystems are complex adaptive systems consisting of large networks regulated by the adaptive dynamics of their constituents. Interactions in the networks occur across different levels of ecological organizations (from individual, to population and communities), and are both directly and indirectly modified by environmental pressures. Spatial and temporal dynamics on all levels of ecological organization are emergent properties of these interactions and regulated by local environment conditions. These complex dynamics and structures are central to life on Earth, and are generally investigated using both direct observations and mechanistic modelling of selected biological and physical quantities. However, it remains of critical importance to identify and characterise the relevant scales of ecosystem interactions, the responses of those to pressures and provide indicators of ecosystem state including them in a coherent framework for risk assessment in support of resource management.

In the current PhD project, we plan to develop statistical frameworks based on machine learning approaches (e.g. deep-learning, Bayesian non-parametric models, reinforcement learning) to combine observations and data from general ocean models to:

How to Apply?

Online Application through "Apply Now" Button from this page or from advertisement webpage (URL below)

Reference Number: -
(If any, use it in the necessary place)

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Documents Required

To apply, please open the link "Apply online", fill out the online application form, and attach all your materials in English in one PDF file. The file must include:

  • A letter motivating the application (cover letter)
  • A description of proposed research (max. 2 pages)
  • Curriculum vitae
  • Grade transcripts and BSc/MSc diploma
  • Excel sheet with translation of grades to the Danish grading system (see guidelines and Excel spreadsheet here)
  • Recommendation letters from senior professionals are welcomed

About the Department

The research spectrum of the Section for Oceans and Arctic covers oceanography, population ecology, observation technology and the Arctic. The research into oceanography integrates biological, physical and chemical parameters’ interactions in the ocean, ranging from individual plankton to regional seas. We focus on understanding the key processes that govern the structure and function of pelagic food webs, as well as climate and ecosystem interactions with a strong focus on quantitative methods.

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 dynamics of ecosystems as well as their integration in ecosystem-based management. DTU Aqua has ca. 260 employees, of whom a third are scientific staff. The other employees are assistant biologists, laboratory technicians, IT employees, administrative staff, ship’s crew, student assistants etc. The institute is organized into eight scientific sections that carry out the research, educational and advisory activities. In addition, the institute has a number of scientific and administrative support functions, including the research vessel DANA. DTU Aqua has employees in Kgs. Lyngby, Silkeborg, Nykøbing Mors and Hirtshals as well as on Dana.

About the Employer: Technical University of Denmark (DTU)

Note or Other details

DTU is a leading technical university globally recognized for the excellence of its research, education, innovation and scientific advice. We offer a rewarding and challenging job in an international environment. We strive for academic excellence in an environment characterized by collegial respect and academic freedom tempered by responsibility.

The appointment will be based on the collective agreement with the Danish Confederation of Professional Associations. The allowance will be agreed upon with the relevant union. The period of employment is 3 years.

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Contact details

Further information may be obtained from Senior Researcher Patrizio Mariani, pat@aqua.dtu.dk

For general information on the PhD application please contact Karin Stubgaard, stub@aqua.dtu.dk., tel: +45 35 88 30 33

You can read more about the institute at www.aqua.dtu.dk

If you are applying from abroad, you may find useful information on working in Denmark and at DTU at DTU – Moving to Denmark.

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