The Niels Bohr Institute (NBI) at the University of Copenhagen invites applications for a PhD fellowship in theoretical physical oceanography. This opportunity is part of the DFF-funded MadGod project, focusing on the strength of ocean circulation using neural networks and symbolic regression.

Applicants must hold a master’s degree (or equivalent) in physical oceanography, climate science, machine learning, or related fields. A completed Master’s thesis in a relevant area, strong numerical skills, curiosity, teamwork, and proficiency in English are essential. Candidates must also meet the enrolment requirements of the PhD School at the Faculty of SCIENCE, University of Copenhagen. The fellowship is open to applicants of all nationalities.

Founded in 1479, the University of Copenhagen is Denmark’s oldest and largest institution of higher education and research. Renowned for its academic excellence, the university consistently ranks among Europe’s top universities. It offers a wide range of programs across disciplines, fostering innovation and interdisciplinary collaboration. With its vibrant international community and state-of-the-art facilities, the university provides a stimulating environment for students and researchers.

Application Deadline: 28 November 2024

Brief Description

• University or Organization: University of Copenhagen
• Department: Niels Bohr Institute (TeamOcean)
• Course Level: PhD
• Award: Salary
• Access Mode: Online application
• Number of Awards: NA
• Nationality: Open to all nationalities
• The award can be taken in: Denmark

Eligibility

• Eligible Countries: Applications are open to candidates from all countries.
• Acceptable Course or Subjects: The scholarship will be awarded in theoretical physical oceanography or closely related fields, including machine learning applications.
• Admissible Criteria: To be eligible, applicants must meet the following criteria:
• Hold a degree equivalent to a Danish Master’s degree (180 ECTS BSc + 120 ECTS MSc) in physical oceanography, climate science, machine learning, or related fields.
• Have completed a Master’s thesis in theoretical oceanography, climate, or machine learning.
• Demonstrate curiosity, team spirit, and a strong interest in numerical methods.
• Possess good language skills, especially in English.
• Meet the enrolment requirements of the PhD School at the Faculty of SCIENCE, University of Copenhagen.

How to Apply

Applications must be submitted electronically through the APPLY NOW link provided on the official University of Copenhagen employment website.

Required Documents:

1. A motivated letter of application (max. one page).
2. Curriculum vitae detailing education, experience, and relevant skills.
3. Original diplomas for Bachelor’s and Master’s degrees, with authorized English translations if applicable.
4. Transcript of records or a written statement from your institution (if studies are not yet completed).
5. A list of publications (if any).
6. Reference letters (if available).

Further Process:

• Shortlisted candidates will be assessed by an expert panel.
• Interviews with selected candidates will be conducted in week 2 of 2025.

Benefits

The PhD fellowship offers:

• Full-time employment for up to 3 years.
• Access to modern research facilities, laboratories, and computing tools.
• Opportunities to collaborate internationally and undertake research stays abroad.
• Competitive salary and benefits as per Danish Ministry of Taxation agreements.
• Professional development through PhD courses and publishing opportunities in high-impact journals.

Apply Now