Applied Signal Processing Systems

Research Engineer (Research Fellow) in Sound Sensing

       Location: University of Surrey, Guildford, UK

       Closing Date: Monday 08 August 2022 (23:59 BST)

       Further details: https://jobs.surrey.ac.uk/025022-R

Applications are invited for a Research Engineer (Research Fellow) in Sound Sensing, to work full-time for six months on an EPSRC-funded Fellowship project "AI for Sound" (https://ai4s.surrey.ac.uk/), to start September 2022 or as soon as possible thereafter.

The aim of the project is to undertake research in computational analysis of everyday sounds, in the context of a set of real-world use cases in assisted living in the home, smart buildings, smart cities, and the creative sector. 

The postholder will be responsible for designing and building the hardware and software to be developed in the fellowship, including sound sensor systems, open-source software libraries and datasets to be released from the project.

The postholder will be based in the Centre for Vision, Speech and Signal Processing (CVSSP) and work under the direction of PI (EPSRC Fellow) Prof Mark Plumbley.

The successful applicant is expected to have a postgraduate qualification in electronic engineering, computer science or a related subject, or equivalent professional experience; experience in software and hardware development relevant to signal processing or sensor devices, and experience in software development in topics such as audio signal processing, machine learning, deep learning, and/or sensor systems.  Experience in development and deployment of hardware sensors, Internet-of-Things (IoT) devices, or audio systems; and programming experience using Python, C++, MATLAB, or other tools for signal processing, machine learning or deep learning is desirable. Direct research experience, or experience of hardware or software development while working closely with researchers, is also desirable.

CVSSP is an International Centre of Excellence for research in Audio-Visual Machine Perception, with 180 researchers, a grant portfolio of £26M (£17.5M EPSRC), and a turnover of £7M/annum. The Centre has state-of-the-art acoustic capture and analysis facilities and a Visual Media Lab with video and audio capture facilities supporting research in real-time video and audio processing and visualisation. CVSSP has a compute facility with 120 GPUs for deep learning and >1PB of high-speed secure storage.

The University is located in Guildford, a picturesque market town with excellent schools and amenities, and set in the beautiful Surrey Hills, an area of Outstanding Natural Beauty.  London is just 35 minutes away by train, while both Heathrow and Gatwick airports are readily accessible.

For more information about the post and how to apply, please visit:

       https://jobs.surrey.ac.uk/025022-R

Deadline: Monday 08 August 2022 (23:59 BST)

For informal inquiries about the position, please contact Prof Mark Plumbley (m.plumbley@surrey.ac.uk).

The Computational Medicine Laboratory (CML) at NYU Tandon School of Engineering (lab space located within the NYU Langone Medical Center’s Tech4Health Institute in Manhattan) is seeking to hire a highly motivated and creative Post Doctoral Associate to join an exciting project to conduct research on developing signal processing, machine learning and control algorithms and validation in real-time experiments with human recordings for the MINDWATCH project, and on-going research that was featured by MIT Technology Review’s global list of 35 Innovators under 35. The Computational Medicine Lab mainly focuses on designing control, optimization, estimation, signal processing, and machine learning algorithms for biomedical and neural engineering applications.

Candidates will be responsible for designing signal processing and/or control algorithms, statistical data analysis, validation in real-time experiments with human recordings, developing IRB protocols and performing human subject research, writing scientific papers, grant writing, and mentoring graduate and undergraduate students and course projects. 

Qualifications - The successful candidate will be driven, creative and team-oriented with excellent writing and programming skills and a passion for developing statistical signal processing, machine learning, and various mathematical algorithms for biomedical engineering applications. We are seeking individuals with a strong background in electrical/biomedical/mechanical/computer/aerospace engineering, and/or computer science/statistics/computational neuroscience/data science, and/or applied mathematics/control theory/signal processing, or related fields to develop mathematical algorithms for biomedical engineering and neuroscience applications. The main application focus area will include mental health regulation and optimizing human performance. Prior experience with human subject research is recommended but not required.

Application Instructions - Please see detailed information below and directly apply on Interfolio: https://apply.interfolio.com/99946

Applicants should submit a cover letter, a current CV including publication list, a list of three references with complete contact information, a research statement (discussing previous research experiences and future research plans), and a personal statement (discussing prior experiences working individually, in teams, mentoring and grant writing experience, career goals, and future plans).

Any questions regarding the postdoctoral opening can be sent to rfaghih@nyu.edu

Review of applications will begin as soon as possible and will continue until the position is filled.