PhD or Postdoctoral Research Fellowship in Self-aware Interactive Music Systems in Norway, 2015-2016

University of Oslo is inviting applications for PhD or Postdoctoral research fellowship in self aware interactive music system in Norway. Applicants must hold a Master’s degree or equivalent in computer science or music technology with documented knowledge in the relevant areas.
The project is part of the Research Council of Norway funded project Engineering Predictability with Embodied Cognition (EPEC). The project aims at creating multimodal systems that are able to sense, learn and predict future events.

The fellowship will be for a period of 3 years, with an option for extension of the employment period by 2-6 months depending background and qualifications for additional duty work which typically includes work on courses (lecturing, preparation and organizing of exercises etc). The starting date is planned to be 01.1.2016. If no applicants qualify for PhD researcher fellowship (position code 1017), applicants will be considered for employment as postdoctoral researcher (position code 1352).

Scholarship Provider/ Funding Agency

University of Oslo, Norway

Study Area

Self-aware Interactive Music Systems

Scholarship open for

International Applicants

Scholarship Level

PhD and postdoctoral

Eligibility

• The Faculty of Mathematics and Natural Sciences has a strategic ambition of being a leading research faculty. Candidates for this fellowship will be selected in accordance with this, and expected to be in the upper segment of their class with respect to academic credentials.
• Applicants must hold a Master's degree or equivalent in computer science or music technology (other degrees would be considered if qualifications match) with documented knowledge in the relevant areas outlined above. Thus, applicants should have a strong background in computer science, programming and music (the latter does not require a formal education as long as a candidate has musical skills). 
• Experience within the fields of motion tracking and analysis, smartphone programming, biologically inspired computing/machine learning, and/or music synthesis would also be preferable. 
• In the application, please briefly describe the relevance of the Master´s thesis work and other project work relevant for the position. Applicants are not required to have publications although it is beneficial.
• The purpose of the fellowship is research training leading to the successful completion of a PhD degree. Thus, the fellowship requires admission to the PhD program at the Faculty of Mathematics and Natural Sciences. The application to the PhD program must be submitted to the department no later than two months after taking up the position. 

Scholarship Duration

The fellowship will be for a period of 3 years, with an option for extension of the employment period by 2-6 months depending background and qualifications for additional duty work which typically includes work on courses (lecturing, preparation and organizing of exercises etc).

Coverage/Scholarship Benefits

• Salary for PhD (code 1017), Pay grade: 50 - 57 (NOK 430 500 – 483 700 per year), salary for Postdoc (code 1352), Pay grade: 60 – 65 (NOK 510 100 – 560 700 per year)
• A challenging and stimulating working environment
• Attractive welfare benefits

Application Method

The application must include:

• Application letter
• CV (summarizing education, positions and academic work - scientific publications)
• Copies of educational certificates, transcript of records and letters of recommendation
• Documentation of English proficiency
• The most relevant and important publications and academic work that the applicant wishes to be considered by the evaluation committee (maximum 5)
• Names and contact details of 2-3 references (name, relation to candidate, e-mail and telephone number)

Deadline

31 August, 2015

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