- 3-year postdoc in digital musical instrument design and evaluation. Deadline 20 November; starts in January or as soon as possible thereafter.
Complete details here
The post is particularly focused on studying the interaction between performer and instrument in various musical contexts. The responsibilities of the role are to design and conduct studies with musical performers, and to work on a team creating new musical instruments which build on the existing skills of trained musicians.
The ideal candidate will have musical proficiency (any genre/instrument) at an intermediate level or higher, either through formal training or equivalent performing/composition experience plus experience in conducting studies with human participants (e.g. HCI user studies, evaluations of interactive systems, performance studies, psychology experiments, etc.) and working knowledge of audio signal representation and processing. The candidate should have a PhD, DMA or equivalent degree in one of the following: Computer Science, Electrical/Electronic Engineering, Psychology, or Music (performance/composition/musicology). Experience with motion capture systems, experimental design and/or statistical analysis of data is also welcome.
This post is part of the EPSRC project « Design for Virtuosity: Modelling and Supporting Expertise in Digital Musical Interaction », based in the Centre for Digital Music (C4DM) in the School of Electronic Engineering and Computer Science, Queen Mary University of London.
Please submit applications via the link above, or contact Andrew McPherson (firstname.lastname@example.org) with any informal queries.
- 4.5-year fixed term Lecturer [approximate UK equivalent to Assistant Professor] in digital signal processing and/or embedded hardware. Deadline 16 November; starts in January.
Complete details here
The School of Electronic Engineering and Computer Science is currently looking to recruit a Lecturer to provide teaching and ongoing research in the area of Digital Signal Processing and/or Embedded Hardware.
Applicants should have a PhD or equivalent professional experience and have a strong background through achievement in Electronic Engineering or Computer Science. They must be able to demonstrate the ability to teach up to a postgraduate level within the area of expertise, and across a range of subjects at a more introductory level, as well as demonstrate enthusiasm and commitment in the process of teaching.
The successful applicant should also have substantial experience in digital signal processing and microcontrollers / embedded hardware and must be able to teach in these areas. The ability to teach at least one of the following areas in addition would be an advantage: audio signal processing; image and video processing, human-computer interaction; new interfaces for musical expression, sensors and the Internet of things, circuits and systems.
Please submit applications via the link above, or contact Jane Reid (email@example.com) with any informal queries.