University of Copenhagen 2021 PhD Fellowship in Artificial Intelligence and Functional Data Analysis (Denmark)

PhD Fellowship in Artificial Intelligence and Functional Data Analysis, 2021 is offered for PhD degree in the field of Artificial Intelligence (AI).The deadline for the sending your application is 17 Feb 2021. This scholarship is provided by University of Copenhagen and the value of this scholarship is Full Funding, Salary + Pension . This scholarship is open for: Open to all nationals.
University of Copenhagen is offering a PhD fellowship with a special focus on artificial intelligence and functional data analysis commencing on June 1st 2021. 

The project will focus on a PhD project in biostatistics and data science. The PhD project aims at developing AI software that can provide clinically relevant predictions of different health outcomes based on data from ECG measurements. The data material consists of around 106 ECG signals measured on Danish citizens that must be associated to different clinical outcomes from Danish registry data. The ultimate goal is to develop an AI algorithm that for a given ECG measurement can deliver predicted risk probabilities for different health outcomes. The PhD candidate will be involved in the methodological development aimed at combining functional data analysis with modern methods of artificial intelligence and machine learning as well as the applied data analysis of the millions of ECG signals available.

• Table of Content
• About University of Copenhagen (UCPH)
• University of Copenhagen PhD Scholarship
• Aim and Benefits of University of Copenhagen PhD Scholarship
• University of Copenhagen PhD Scholarship Courses
• Requirements for University of Copenhagen PhD Scholarship Qualification
• Application Deadline
• How to Apply

About University of Copenhagen (UCPH)

Driven by intellectual creativity and critical thinking since 1479, researchers and students at the University of Copenhagen have expanded horizons and contributed to moving the world forward. With its 5,000 researchers and 39,000 students, the University boasts an international research and study environment and is highly ranked on the leading ranking lists of the world's best universities. The University offers researchers and students the opportunity to develop their talent and launches ambitious interdisciplinary initiatives to support its strong academic communities. Through resear... continue reading

University of Copenhagen PhD Scholarship

Application Deadline	17 Feb 2021
Country to study	Denmark
School to study	University of Copenhagen.
Type	PhD
Course to study	View courses
Sponsor	University of Copenhagen (UCPH)
Gender	Men and Women

Aim and Benefits of University of Copenhagen PhD Scholarship

Successful applicants will receive monthly salary begins around 27.593 DKK /approx. 3.679 EUR (April 2020-level) plus an employer paid pension contribution of 17.1%.

University of Copenhagen PhD Scholarship Courses

• Artificial Intelligence (AI)

Requirements for University of Copenhagen PhD Scholarship Qualification

• Applicants from all nationalities are eligible.
• Applicants applying for the PhD scholarship will be a statistician with a strong background in mathematics and statistics.
• Applicants should have the ability to communicate research findings in teaching, conference talks and by writing scientific papers for international journals. 
• Applicants must not already be enrolled as a PhD student at the faculty of Health and Medical Sciences, University of Copenhagen.

Application Deadline

February 17, 2021

How to Apply

Interested and qualified? Go to University of Copenhagen (UCPH) on candidate.hr-manager.net to apply

Your online application must be submitted in English by clicking ‘Apply now’ below. Furthermore your application must include the following documents/attachments – all in PDF format:  

• Motivated letter of application (max 2 pages). Please briefly describe your previous research experiences and interests and what attracts you to the position in terms of both the topic and the academic work.
• Curriculum vitae detailing education, work, research and teaching experiences, conference presentations, publication record, language skills and other skills relevant for the position 
• Documentation of knowledge on advanced computational methods, e.g. a list of methods you have worked with and in which context.
• Official transcripts of examination results.
• A certified/signed copy of degree certificate(s).
• Contact information for two reference persons.
• APPLY NOW