The group of Machine Learning and Data Science – Embodied Systems for Robotics and Learning at the Mærsk Mc-Kinney Møller Institute in Denmark invites applications for open postdoctoral fellowship positions in Clinical Machine Learning and Data Science for 2018/2019 academic year.

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
  • Biostatistics
  • 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.

Worth of 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.

Eligibility

  • Employment as a postdoc requires scientific qualifications at PhD level.
  • The application must be in English.
  • Applicants are required to have a proven research track record and a PhD degree in one of the following domains:
  1. Biomedical Engineering
  2. Applied Mathematics or Physics
  3. Biostatistics
  4. Robotics and Artificial Intelligence

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:
• Application
• 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
The University wishes their staff to reflect the diversity of society and thus welcomes applications from all qualified candidates regardless of personal background.
Further information is available from Prof. Esmaeil Nadimi, phone +45 27 78 19 29, email: [email protected]

Deadline: applications close May 11, 2018

Click here for more details and to apply

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