Research Assistantship: Auditory Neuroscience Lab, Northwestern University
The Auditory Neuroscience Lab at Northwestern University, Nina Kraus PI, is looking for an R.A. starting this summer. Please see brainvolts.northwestern.edu for a description of the Lab and an overview of its many projects involving neurocognition, music, hearing in noise, development and more. The position will involve hands-on testing of participants, especially children from 3 to 17, as well as data processing and analysis, and general support to lab personnel and students. Some background in neurophysiology, both data collection and analysis, is preferred as well as proficiency in Microsoft Office applications. Background in Matlab, SPSS and E-Prime is a plus. Please send resume, letters of recommendation and a short statement about why the Kraus Lab is a good fit for you to nkraus <at> northwestern.edu.
Lectureship/Senior Lectureship at the Sonic Arts Research Centre, Queen’s University Belfast
The Sonic Arts Research Centre is looking to appoint a full time, permanent member of academic staff. This position is an opportunity to contribute to the interdisciplinary research team at theSonic Arts Research Centre, School of Creative Arts, Queen’s University Belfast. The aim of this post is to produce high-quality research and publications and to undertake undergraduate andpostgraduate teaching in the area of research expertise and other technical areas across the curriculum. Relevant fields of research expertise include digital signal processing for audio, digitalmusic processing, spatial audio, performance technologies, HCI, software design, recording and production.
The successful candidate is expected to contribute to the development of linksbetween the arts and the sciences in the context of the creative industries.The postholder will be based at the Sonic Arts Research Centre and will contribute to the curriculum of the BSc Music Technology and Sonic Arts, the MA Sonic Arts and will be involved in PhDsupervision.Informal enquires can be directed to Mr Chris Corrigan (email@example.com<c.
Closing Date: Monday 20 May 2013
PhD position on Audio Source Separation at MTG-UPF (Barcelona)
There is one open PhD position at the Music Technology Group of the Universitat Pompeu Fabra in Barcelona (http://www.mtg.upf.edu). The topic for this PhD position is “Source Separationand Signal Modelling of Orchestral Music Mixtures”. This position is partially funded by the PHENICX project and starts in October 2013.
Topic: Musical Audio Source Separation relates to advanced signal processing methods that allow extracting a given instrument (sound source) from the original recording. In this case, we will focuson classical music recordings that can come in various formats (e.g, stereo catalogue tracks, multi-track on-stage orchestral recordings). The goals shall cover here both score-informedsituations, e.g. supported by score-alignment, and blind situations where the score is not available. The project involves collaborating with other researchers at the MTG in the areas of MusicInformation Retrieval and Advanced Music Interaction, as well as with other international research partners in the PHENICX project.
Requirements: Applicants should have experience in audio signal processing, and hold a MSc in a related field (e.g. acoustics, telecommunications, electrical engineering, physics, mathematics, or computersciences). Experience in scientific programming (e.g. Matlab/Python/C++) and excellent English are essential. Expertise on source separation, multipitch analysis, timbre analysis or source localization will be also appreciated.Applicants should send their CV and motivation letter to Jordi Janer (firstname.lastname@example.org) and Emilia Gómez (email@example.com) before 7th May 2013.http://mtg.upf.edu/node/2732
POSITION OPENING: Technical Assistant in the McDermott Lab, Department of Brain and Cognitive Sciences, MIT, to assist with all aspects of research on human audition.
RESPONSIBILITIES: Designing, programming, and conducting behavioral experiments; analyzing data; participant outreach and recruitment; implementation and maintenance of analysissoftware and computational models; technical support for lab personnel; participation in reading groups and research seminars; and some basic administrative duties including orderingequipment, tracking supplies, etc. Will be encouraged to take an active role in scientific research. The position is ideal for individuals considering future graduate study in cognitive science orneuroscience.
Ref 275/13 Postdoctoral Research Fellowship in Music Cognition and Computation, MARCS Institute
Looking for an opportunity to advance your research career?The Music Cognition and Action Program in the MARCS Institute is looking for an industrious early career researcher who will collaborate with Professor Roger Dean within the following broadareas; intensity, timbre and rhythm perception; cognition of affect in music; and computational modelling of music perception. This position will enable an early career researcher toconcentrate on the development of their research potential.We seek an enthusiastic, forward thinking, and innovative scholar with the potential to win competitive research income and an excellent publication record. The successful applicant isexpected to be developing a strong international standing and research reputation and an excellent research background in the area of experimental cognitive psychology, or computationalcognitive modelling, with relevance to music.This is a full time, fixed term appointment for a period of 3 years based on our Bankstown campus.
Remuneration Package: Academic Level B $101,761 to $120,078 p.a. (comprising Salary $85,989 to $101,538 p.a., 17% Superannuation, and Leave Loading)
Position Enquiries: Professor Roger Dean, 02 9722 6902, or email firstname.lastname@example.org Position Description: https://uws.nga.net.au/
Closing Date: 19 May 2013
Ref 277/13 Senior Research Lecturership/Research Lecturership in Cognitive Science and Music, MARCS Institute
Are you a proactive researcher looking for an opportunity to join a world renowned research institute?The Music Cognition and Action Program in the MARCS Institute is looking for a motivated researcher with high level skills and expertise in not only behavioural but also computational andcognitive neuroscientific methods. The Senior Research Lecturer/Research Lecturer will work closely with Associate Professor Peter Keller who joined MARCS recently from the Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig.
We seek a forward thinking, self-motivated academic to be appointed to this Research Lectureship. The successful applicant is expected to be developing a strong international standing and research reputation, and an excellent research background in the area of perception and production of rhythm; development and modelling of ensemble skills; perception of intensity and loudness and their relation to affect; improvisation; or learning and performing complex action sequences using behavioural methods, computational modelling, and/or neurophysiologicaltechniques.This position is a full time, fixed term appointment for a period of 3 years based on our Bankstown campus.
The University reserves the right to appoint at either Academic Level B or Academic Level C depending upon the skills, qualifications and experience of the successful applicant.Remuneration Package:Academic Level B $101,761 to $120,078 p.a. (comprising Salary $85,989 to $101,538 p.a., 17% Superannuation, and Leave Loading)orAcademic Level C $123,713 to $141,913 p.a. (comprising Salary $104,645 to $120,200 p.a., 17% Superannuation, and Leave Loading)Position Enquiries: Associate Professor Peter Keller, 02 9722 6722, or email email@example.com
Closing Date: 19 May 2013
Post Doctoral Fellowship Position in Music Neuroscience Research
(2) to compare brain responses to 20-Hz vibrotactile stimulation between young and older adults with a focus of brain responses beyond the primary somatosensory cortex.
(3) to study the effect of RSS at a range of frequencies on mean spectral magnitude power on multiple frequency bands by analyzing EEG data for frequency using discrete Fourier transformation.