Audio and Acoustic Signal
Processing Job Opportunities

Connect with a business that connects… Logitech is a world leader in products that connect people to their digital experiences. With a broad portfolio of interface devices, Logitech’s leadership in innovation encompasses a wide variety of corded and cordless personal peripherals. With special emphasis on products for PC navigation, gaming, Internet communications, digital music and home-entertainment control, Logitech is at the forefront of design and is creatively driving a richer experience for digital interactions.

We are looking for a Sr. Acoustical Systems Engineer to join our Vancouver, WA team! This individual will work on headphone, headset, and earbud Research and Development. We are targeting an ambitious individual with the ability to be able to work in a cross-functional team environment which will include interfacing with industrial design, marketing, electrical engineering, mechanical engineering, software, firmware, and manufacturers. You’ll have the opportunity to use your excellent technical communication skills to design acoustical systems for the consumer market by developing systems from concept through to production including such activities as modeling, prototyping, design qualification, and factory integration.

We want to speak with experienced acoustical system design professionals who have a bachelor’s degree in acoustics, physics, mechanical engineering, electrical engineering, or a related audio discipline. Additional skills needed include experience with acoustical data measurement and analysis, signal processing, traducer qualification and measurement, and SoundCheck, Audio Precision, Klippel, HATS, LEAP, etc.

… more comfortable, more fun, more productive, more convenient

For more information and to apply: http://hire.jobvite.com/j/?cj=orW8Vfwa&s=PinstripeRecruiter

Research Associate in Nonlinear Time-Series Classification (Unilever sponsored project) Department of Automatic Control & Systems Engineering The University of Sheffield We are seeking to appoint a Research Associate to work on an industry-sponsored project on nonlinear signal processing. This post offers an outstanding opportunity to work with a multidisciplinary team of researchers from academia and industry. The project is to develop a novel feature extraction, modelling and classification system for nonlinear time-series. The position will incur regular travel to the Unilever Research Port Sunlight, Merseyside. Applicants should have a good honours first degree and have, or be working towards a PhD in signal processing or a related area. The successful applicant will have experience in nonlinear system identification, statistical signal processing and pattern classification. Good IT skills including programming ability and experience in MATLAB computing environment is essential. Previous experience of processing real time-series data is highly desirable. Applicants should also have good communication and interpersonal skills, and be able to work with researchers from the industry. Ability to meet deadlines and provide timely deliverables is essential. This post is fixed-term until 30 June 2012. Salary: £28,251 to £30,870 per annum (Grade 7) Closing Date: 15th December 2011 It is anticipated that interviews and other selection action will be held on 20 December 2011. For access to the full job advert, visit http://www.shef.ac.uk/jobs (Job Reference Number: UOS003674).

Main job objectives: Research, Teaching, Visibility

Research • Conduct fundamental research in machine learning, signals representation and analysis for biomedical signals (Brain waves, heart beats,…) with the aim to define novel brain computer interfaces in particular in domains related to audio (music, speech, emotion analysis…). • Participate and develop both academic and industrial collaborations on the topic of biomedical signals processing, cognitive interfaces, brain computer interfaces,… • Participate to proposals to national and international research project calls and is a driving force for addressing fundamental research project calls (white program of the French Research Agency, European FET program).

Teaching

• Participate to teaching activities at Télécom ParisTech (including in project based learning and life-long learning courses) and in teachning activities in joint master with partner universities (Master ATIAM, Master MVA et master IAD). Visibility/Impact • Publication of research work in leading journals and conferences. Activities in scientific bodies, organization of special sessions, workshops. Involvement in scientific conferences committees.

Research Activities :

• The research activity will be mainly conducted on fundamental aspects aiming at the introduction of novel methods for the analysis and representation of biomedical signals (in particular brain waves) and multidimensional and heterogeneous signals (for example audio coupled with biomedical signals, video, gesture,…). This new line of research will benefit from previous studies conducted in the AAO team in particular in EEG and multimodal signals processing and will benefit from the current research work of the team (in particular in the European research IST-3Dlife, IST FP7-REVERIE or IST-FP7 VERVE). This activities will also take advantage of the research conducted in the three other teams of the department, namely the Image processing group, the Statistical group and the multimedia group. This activity shall also permit tight collaboration with the joint lab with Orange (WHIST Lab).

Teaching activities:

• Participate to the teaching activities of the TSI department (in particular in project based learning activities, basic signal processing, acoustics and audio processing, image and biomedical image processing). Conceive new courses and pedagogical tools for teaching at Telecom ParisTech or in joint Masters with Universities. • Propose and coordinate engineer students projects.

More information at:

http://service.tsi.telecom-paristech.fr/cgi-bin/announce/download.cgi?Aid=49&lang=en

The Research School of Engineering at the Australian National University (ANU) is one of the premier engineering research institutions in the world. The ANU is supported by research intensive funding from the Australian Government to provide international research leadership across a wide range of areas and to train future international research leaders. We seek applications from outstanding early career researchers for Future Engineering Research Leadership Fellows. These positions are up-to 5 years research intensive positions targeted towards individuals with 0-5 years experience since the award of their PhD. We wish to recruit individuals with growing international reputations for research excellence and with the ambition to become future world leaders in their discipline. Successful candidates will be expected to define their own research agendas and will be provided with mentoring and support to apply for competitive funding to begin building a research team and develop their own laboratory facilities where appropriate. The successful candidate will be expected to supervise graduate students in their research area and contribute to the teaching effort of the School. Applicants should have a PhD in a relevant field of Engineering, evidence of the ability to pursue an independent research program and a strong commitment to both graduate and undergraduate teaching programs of the school. Applications should include a research vision statement, a brief statement on teaching interests, a detailed curriculum vitae including a publication list, and the names and contact details of five referees. The research vision might include a strong synergy with one or more research groups in the Research School of Engineering as well as the ability to reach across traditional research silos. The position comes with a yearly budget to cover visitors and conference travel as well as the possibility to negotiate significant startup funds for academics in experimental areas. The Australian National University is an equal opportunities employer, encouraging applications from women and applicants from diverse backgrounds. For more information about the positions, please contact Associate Professor Thushara Abhayapala on +61 2 6125 8683 or head.eng@cecs.anu.edu.au Further Detail: http://jobs.anu.edu.au/PositionDetail.aspx?p=2286