PhD Research Fellowships: Artificial Intelligence 1503 views

University of Oslo invites applications for 1or 2 PhD Research Fellowships (SKO 1017) in Artificial Intelligence on Musical/Human/Robotic Rhythm available at RITMO Centre for Interdisciplinary Studies in Rhythm, Time and Motion.

Research areas: Musicology, Psychology and Informatics, Computer Science, Mathematics, Robotics

About the position:

• The PhD fellow(s) will carry out research on artificial intelligence methods to be used in: the analysis of human/musical rhythm and/or synthesis of rhythms in robotic systems.
• The project(s) may therefore range from focusing more on theoretical development and computer-based testing, to focusing more on developing machine systems (simulation and robots) that can interact rhythmically with each other and with humans.
• In both cases, the models will need to sense, predict and adapt to complex, composite and changing oscillating systems (rhythms).
• The research will be inspired by mechanisms found in nature, such as neural oscillations and synchronisation mechanisms in fireflies, and will be considered from a (computational) self-awareness context.
• The fellow(s) will work on sub-projects within the “Motion and Machines” cluster of RITMO.

Duration: 3 years

Starting date: 15 August 2018; possibility of extension to four years

Qualifications:

• Applicant must hold Master’s degree or equivalent in informatics, computer science, mathematics, robotics or other relevant fields.
• Applicant must have obtained Master’s Degree by the time of application.
• Applicant must have strong programming and modelling skills; experience with data pre-processing, feature extraction, and different machine learning techniques (unsupervised, supervised, reinforcement learning), and/or experience with robotics techniques (simulation, prototyping, control)
• Applicants with knowledge of music theory, music information retrieval, and one or more of the human data capturing methods available in RITMO would hold advantage.
• Applicant must possess fluency in English (oral and written communication)
• Applicant must demonstrate very good collaborative skills.

How to apply:

• Applicants must submit the following attachments with the electronic application, preferably in pdf format:
• Application letter describing the applicant’s qualifications and motivation for the position
• CV with complete list of education, positions, teaching experience, administrative experience and other qualifying activities, including a complete list of publications with links to full version of published papers
• Research outline, including relevant research questions and theoretical and methodological approaches (approximately 2-3 pages, see template for research outline)
• Transcript of records of your Master’s degree.
• Documentation of English proficiency
• Names and contact details of 2-3 references (name, relation to candidate, e-mail and telephone number)