Deadline: 31 August 2015
Open to: applicants who are holders a Master’s degree or equivalent in computer science or music technology
Scholarship: salary for PhD – EUR 46,837 to EUR 52,625 per year; salary for Postdoctoral – EUR 55,497 to EUR 61,002 per year
Description
The University of Oslo is Norway’s largest institution of research and education with 28 000 students and 7000 employees. Its broad range of academic disciplines and internationally esteemed research communities make UiO an important contributor to society. The Department of Informatics (IFI) is one of eight departments belonging to the Faculty of Mathematics and Natural Sciences at the University of Oslo. IFI is Norway’s largest university department for general education and research in Computer Science and related topics. The Department has near 950 students on bachelor level, near 450 master students, and over 180 PhD students.
Position as PhD/Postdoc Research fellow is available at the Robotics and Intelligent Systems (ROBIN) group at the Department of Informatics. The project is part of the Research Council of Norway funded project Engineering Predictability with Embodied Cognition (EPEC). The project aims at creating multi modal systems that are able to sense, learn and predict future events. The Robotics and Intelligent Systems research group focus on adaptive systems research often including biologically inspired methods. They target to apply these methods within robotics, programmable logic and applications like active music. They are interested in studying human and robotic motion using motion capture analysis and apply this knowledge in designing adaptive robotic or computing systems.
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).
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;
- A good command of English is required.
Scholarship
- salary for PhD (code 1017), Pay grade: 50 – 57 (EUR 46,837 to EUR 52,625 per year);
- salary for Postdoc (code 1352), Pay grade: 60 – 65 (EUR 55,497 to EUR 61,002 per year);
- a challenging and stimulating working environment;
- attractive welfare benefits.
How to apply?
Deadline for application is 31 August 2015.
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).
Foreign applicants are advised to attach an explanation of their University’s grading system. Please remember that all documents should be in English or a Scandinavian language.
For more information please visit the official website.
