SDU Postdoctoral Fellowship Positions
The University of Southern Denmark is inviting applications for postdoctoral fellowship positions in Clinical Machine Learning and Data Science.
The aim of the fellowship is to provide financial aid to international students.
The University of Southern Denmark welcomed the first students onto the campus in Odense in September 1966, and things have been developing by leaps and bounds ever since. We now have five faculties with more than 32,000 students, almost 20% of whom are from abroad, and more than 4,000 employees distributed across our main campus in Odense and regional campuses in Slagelse, Kolding, Esbjerg, and Sønderborg. Several international studies document that we conduct world-class research and are one of the top fifty young universities in the world.
- Application Deadline: May 11, 2018
- Course Level: These are postdoctoral positions.
- Study Subject: These positions are available in Clinical Machine Learning and Data Science.
- Scholarship Award: Employment as a postdoc is temporary. The employment will cease without further notice at the end of the period.
- Employment is governed by the Protocol on PhD Research Fellows signed by the Danish Ministry of Finance and the Danish Confederation of Professional Associations.
- Research will be predominant in the position. Teaching assignments can be agreed individually. Furthermore, other types of assignments may occur to a limited degree.
- The Faculty determines the distribution of the various assignments. The weighting of the different assignments may vary over time.
- Nationality: International students are eligible to apply for this position.
- Number of Scholarships: Numbers not given
- Scholarship can be taken in Denmark
Eligibility for the Scholarship:
Eligible Countries: International students are eligible to apply for this position.
Entrance Requirements: To be eligible for this scholarship you must meet the following requirements:
Employment as a postdoc requires scientific qualifications at PhD level.
Applications will be assessed by an expert. Applicants will be informed of their assessment by the Faculty. An interview might be part of the assessment process.
Applicants are required to have a proven research track record and a PhD degree in one of the following domains:
- Biomedical Engineering
- Applied Mathematics or Physics
- Robotics and Artificial Intelligence
The successful candidates are expected to engage in various projects in the domain of clinical machine learning including Bowel diseases, Neurodegenerative diseases, and Diabetes.
English Language Requirements: Candidates must have excellent knowledge of English (written and spoken).
How to Apply: Your application must be uploaded through the link “Apply Online”. Attached files must be in Adobe PDF or Word format. Please read guidelines for applicants.
All pdf-files must be unlocked and allow binding and may not be password protected.
In case you have more than one file per field you need to combine the pdf-files into a single file, as each field handles only one file.
Each box can only contain a single file of max. 10 Mb.
The applications must include:
• Curriculum Vitae
• Certificates/Diplomas (MSc, PhD) – Danish or English transcripts
• Information on previous teaching experience, please attach as Teaching portfolio
• List of publications indicating the publications attached
• Examples of the most relevant publications. Please attach one pdf-file for each publication, a possible co-author statement must be a part of this pdf-file