The University of Copenhagen presently has Social Data Science PhD Positions to offer international scholars who have been enthusiastic to advance their academic careers in Denmark. This program will be during PhD level program(s) – Data Science, University of Copenhagen. The application deadline is unstated, but interested persons are advised to begin their application process early. Stay updated by checking the official scholarship webpage often.
University of Copenhagen – About
The University of Copenhagen – UCPH is a government-owned academic institution o higher learning in Copenhagen, Denmark. This is the 2nd-oldest university in Scandinavia and was established in 1479. It is well respected as one of the finest institutions in the Nordic nations and the whole of Europe.
Copenhagen is a research-based institution of higher learning – mostly offers top-level research and training exercises. The institution takes part in worthwhile international research partnerships, like the League of European Research Universities and the International Alliance of Research Universities.
The school maintains solid co-operative arrangements with private sector enterprises like GlaxoSmithKline, Novo Nordisk, Microsoft, Novozymes, and VELUX. Experts and scientists team up to elevate science novelties from the lab and to society. Every year, UCPH also accomplishes up to 800 agreements for teamwork with public and private institutions.
Why University of Copenhagen? All through the process of study at the University of Copenhagen, students will get great professional opportunities, useful academic ability, and creative skills for a successful future.
Resulting from lots of reforms in the 18th and 19th centuries, the school was transitioned into a novel, secular university, with science and the humanities replacing theology as the prime subjects studied and taught. There are 6 different faculties in the school, with lectures on four distinct campuses, all across Copenhagen.
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Social Data Science PhD Positions – Summary
- Funding Type: Fully Funded (Good Salary package)
- Awarding Institution: University of Copenhagen
- Study Level: PhD
- Department: Data Science
- Eligible Students: International Students
Benefits of Social Data Science PhD Positions
Recipients of Social Data Science PhD Positions will be offered the benefits below:
- The program will offer a good salary package to successful applicants.
Eligibility for Social Data Science PhD Positions
To be eligible for Social Data Science PhD Positions, the entrant must satisfy the following conditions:
- Eligible Nationalities: All international students have the liberty to apply.
- Those who have experience working with (huge) data sets from previous work as a research assistant or from personal research are also eligible candidate.
- All applicants must have record of impressive academic performance.
- Experience from prior program in machine learning and econometric methods is a good adavantage.
How to Apply for Social Data Science PhD Positions
To win Social Data Science PhD Positions, please follow the steps below:
- To be chosen for the funding program, you should fill out and submit this online application form.
- You are expected to become a part of the University of Copenhagen as a Ph.D. scholar at the Department of Biology.
- You have to provide documents as detailed below:
- Cover Letter – It has to have the full detail of applicant’s motivation and background for applying for the project.
- Details of the deas for projects under the frame of the whole project (potentially related to questions of resources alloted to daycare centers or starting age). The outline should contain potential ideas for identification approaches that are appropriate and critically deliberate challenges.
- CV
- Diploma and/or transcripts of records (BSc and MSc).
- You must meet all entry requirements of the university.
- Language: For applicants whose first language is not English, please provide evidence of English language ability: IELTS, TOEFL, or other acceptable proof.
To make further inquiries about Social Data Science PhD Positions, please visit the official webpage.
