SAM
Tampere University has several professor positions open related to AI and its applications, covering various areas of signal processing. The positions include a quite substantial starting package, covering funding for multiple research group members. Strong researchers are encouraged to apply! The deadline for applications is 9 March 2025. For more information about the positions, please visit this page.
The Signal Processing Research Centre of Tampere University is looking for a tenure track-professor (assistant/associate/full) to join its team of world-class experts. Please see the full description and apply here.
** PhD Opportunities in Centre for Doctoral Training in AI for Digital Media Inclusion
** Surrey Institute for People-Centred AI at the University of Surrey, UK, and
** StoryFutures at Royal Holloway University of London, UK
** Apply by 30 May 2024, for PhD cohort starting October 2024
URL: https://www.surrey.ac.uk/artificial-intelligence/cdt
The Centre for Doctoral Training (CDT) in AI for Digital Media Inclusion combines the world-leading expertise of the Surrey Institute for People-Centred AI at the University of Surrey, a pioneer in AI technologies for the creative industries (vision, audio, language, machine learning) and StoryFutures at Royal Holloway University of London, leader in creative production and audience experience (arts, psychology, user research, creative production).
Our vision is to deliver unique cross-disciplinary training embedded in real-world challenges and creative practice, and to address the industry need for people with responsible AI, inclusive design and creative skills. The CDT challenge-led training programme will foster a responsible AI-enabled inclusive media ecosystem with industry. By partnering with 50+ organisations, our challenge-led model will be co-designed and co-delivered with the creative industry to remove significant real-world barriers to media inclusion.
The overall learning objective of the CDT training programme is that all PhD researchers gain a cross-disciplinary understanding of fundamental AI science, inclusive design and creative industry practice, together with responsible AI research and innovation leadership, to lead the creation of future AI-enabled inclusive media.
The CDT training program will select PhD students who will work on challenge areas including Intelligent personalisation of media experiences for digital inclusion, and Generative AI for digital inclusion. Example projects related to audio include:
- Audio Generative AI from visuals as an alternative to Audio Description
- Audio orchestration for neurodivergent audiences using object-based media
- AUDItory Blending for Inclusive Listening Experiences (AUDIBLE)
- Foundational models for audio (including speech, music, sound effect) to texts in the wild
- Generative AI for natural language description of audio for the deaf and hearing impaired
- Generative AI with Creative Control, Explainability, and Accessibility
- Personalised audio editing with generative models
- Personalised subtitling for readers of different abilities
- Translation of auditory distance across alternate advanced audio formats
If you have any questions about the CDT, please contact Adrian Hilton or Polly Dalton.
For more information and to apply, visit:
https://www.surrey.ac.uk/artificial-intelligence/cdt
Application deadline: 30 May 2024
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Prof Mark D Plumbley
EPSRC Fellow in AI for Sound
Professor of Signal Processing
Centre for Vision, Speech and Signal Processing
University of Surrey, Guildford, Surrey, GU2 7XH, UK
Email: m.plumbley@surrey.ac.uk
Post-Doc position in multisensory signal processing and machine learning at Aalto University, Finland
We invite applications for a position as postdoctoral researcher to the project "Trustworthy array signal processing", based at Aalto University, Finland. The project will develop signal processing and machine learning theory and algorithms for large aperture sensor arrays that are resilient to unintentional and intentional interferences and can operate reliably in demanding radio environments and densely used radio spectrum. Applications are found, among others, in radar, multiantenna communications, and remote sensing systems.
The project is done in cooperation between Aalto University in Finland, and Linköping University (LiU), Sweden. The research is funded by WASP (Wallenberg AI, Autonomous Systems and Software Program). The program addresses research on artificial intelligence and autonomous systems acting in collaboration with humans, adapting to their environment through sensors, information and knowledge, and forming intelligent systems-of-systems.
Skills needed in the research:
- Strong background in wireless communications, signal processing, or reinforcement learning
- Very good publication record in top academic journals (at least 1 IEEE Transaction publication is required)
- Excellent analytical, technical and problem solving skills
- Very good organization and communication skills
Starting date: early 2023
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).
For details, see the position description on Lab Web Site
The Department of Electrical Engineering at Stanford University (http://ee.stanford.edu/) invites applications for a tenure-track faculty appointment at the junior level (Assistant or untenured Associate Professor) in the broadly defined field of electrical and computer engineering. Priority will be given to the overall originality and promise of the candidate’s work over any specific area of specialization.
Applicants should have an earned Ph.D., evidence of the ability to pursue an independent program of research, a strong commitment to both graduate and undergraduate teaching, and the ability to initiate and conduct research across disciplines. A successful candidate will be expected to teach courses at the graduate and undergraduate levels and to build and lead a team of graduate students in Ph.D. research.
Applications should include a brief research and teaching plan, a detailed resume including a publications list, and the names and email addresses of at least five references.
The Electrical Engineering Department, School of Engineering, and Stanford University value faculty who are committed to advancing diversity, equity, and inclusion. Candidates may optionally include as part of their research or teaching statement a brief discussion of how their work will further these ideals.
Candidates should apply online at http://ee.stanford.edu/job-openings. Applications will be accepted through November 28, 2021.
Stanford is an equal employment opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law. Stanford also welcomes applications from others who would bring additional dimensions to the University's research, teaching and clinical missions.
PostDoc and visiting PhD Positions Available at USC: Wireless Channel Measurement and High-Resolution Evaluation
The WiDeS group of Prof. Andy Molisch at the University of Southern California seeks a PostDoctoral Researcher to work on the measurement of wireless propagation channels, and particularly the high-resolution evaluation of those measurements. Emphasis of the work is in the mmWave and THz frequency range. The position is available starting October 1st 2021. In addition to the PostDoc position, applications for visiting PhD students are also welcome.
The work, which is funded by the National Science Foundation as well as industrial sponsors, aims to develop new measurement technologies, perform measurement campaigns, and extract parameters by means of high resolution parameter estimation of propagation channels in the frequency range between 20 and 500 GHz. The resulting channel models will be of great interest in the development of 6G systems.
The group is one of the world leaders in the area of propagation channel measurement and modeling, with cutting-edge equipment, a strong team of researchers, PostDocs, and PhD students with accumulated knowledge and experience in measurement and modeling techniques, and a long history of innovations; for details see https://wides.usc.edu. The University of Southern California is ranked among the top-10 universities in the US in engineering (US News and World Report). The successful candidate(s) will have the opportunity to interact with both the WiDeS group as well as other groups across campus. Mentoring and career support will be provided to the successful candidate.
The successful candidate(s) will have a solid background in high resolution parameter extraction for channel measurements and/or experience with propagation channel and/or RF measurements, preferably in the mmWave/THz range. A good publication record is expected. A CV with details of the applicable experience, skills, and publications, and contact details (or recommendation letter) of at least one reference should be sent to molisch at usc.edu. For full considerations, applications should be sent by 10/4/2021. After this date, the search will continue until the position is filled.
Applications from female researchers and underrepresented minorities are particularly encouraged.
Who we are looking for:
An experienced signal processing engineer who is creative, innovative, thrives on technical challenges, and is comfortable merging concepts from different technical disciplines.
Experience (required):
• 5 years of signal processing experience (analysis, modification, and synthesis)
• strong background emphasizing and detecting components in signals
• strong data analysis/data science abilities
• strong programming abilities
Experience (desired):
• research and development (R & D)
• ASIC (application specific integrated circuit)design
• sensor design or integration
Education:
BS Electrical Engineering or related field
Location:
This job is a laboratory research position, so it is in-person, on-site in Tucson, AZ at Tech Parks Arizona.
What you will get:
Opportunity to be part of the founding team, launching new instrumentation that will change how the world is seen
Chance to be part of a close-knit, knowledgeable, and collaborative team
Additional experience in Research and Development (R&D)
Competitive compensation package that includes: competitive salary, health benefits, retirement, paid time off (PTO), stock options, and relocation assistance (for out-of-state applicants)
A Marie Skłodowska-Curie PhD Fellowship in audio signal processing for hearing assistive devices
Research position at Oticon
A PhD research position is available in Oticon A/S and Dept. Electronic Systems, Aalborg University in the frame of the H2020 MSCA European Training Network “Service-Oriented Ubiquitous Network-Driven Sound (SOUNDS)” under the supervision of Prof. Jesper Jensen.
The PhD student will be fully embedded in the SOUNDS research and training network and will carry out applied research in the interdisciplinary field of signal processing, room acoustics, auditory perception, communication networks and machine learning.
The research will be executed at Oticon - a world-leading hearing aid manufacturer - and will involve several research visits to internationally renowned research labs in Europe.
A fully-funded 3-year research position in the frame of a 3-year doctoral program (resulting in a PhD degree awarded by Aalborg University) is offered.
The topic of the PhD project is: "Distributed sound processing for hearing aid applications"
The “SOUNDS” project
The SOUNDS European Training Network (ETN) revolves around a new and promising paradigm coined as Service- Oriented, Ubiquitous, Network-Driven Sound. Inspired by the ubiquity of mobile and wearable devices capable of capturing, processing, and reproducing sound, the SOUNDS ETN aims to bring audio technology to a new level by exploiting network-enabled cooperation between devices.
We envision the next generation of audio devices to be capable of providing enhanced hearing assistance, creating immersive audio experience, enabling advanced voice control and much more, by seamlessly exchanging signals and parameter settings, and spatially analyzing and reproducing sound jointly with other nearby audio devices and infrastructure.
Moreover, such functionality should be self-organizing, flexible, and scalable, requiring minimal user interaction for adapting to changes in the environment or network. It is anticipated that this paradigm will eventually result in an entirely new way of designing and using audio technology, by considering audio as a service enabled through shared infrastructure, rather than as a device-specific functionality limited by the capabilities and constraints of a single user device.
The ideal profile
To attain this paradigm shift in audio technology not only requires additional research but also calls for a new generation of qualified researchers with a transdisciplinary and international scientific profile, strong collaborative research and research management skills, and the intersectoral expertise needed to carry research results from academia to industry.
Candidates must
Candidates who are in the final phase of their Master program are equally encouraged to apply, and should mention their expected graduation date.
Candidates must satisfy the eligibility conditions for MSCA Early Stage Researchers, i.e., they must have obtained their Master degree in the past 4 years and must not have resided or carried out their main activity (work, studies, etc.) in Denmark for more than 12 months in the past 3 years.
Why join us?
It is believed that the SOUNDS ETN will offer the best possible framework for achieving these goals, by organizing advanced interdisciplinary research training, developing solid transferable skills, and providing intersectoral and international experience in a network of qualified and complementary industrial and academic institutions.
We offer:
The SOUNDS ETN strongly values research integrity, actively supports open access and reproducible research, and strives for diversity and gender balance in its entire research and training program. The SOUNDS ETN adheres to The European Charter for Researchers and The Code of Conduct for the Recruitment of Researchers.
Interested?
Then please send 1) your motivation letter with a statement of skills and research interests (max 1 page), 2) academic CV, including transcripts and possibly GRE/TOEFL results, 3) relevant diplomas, and 4) names and contact information of 1-2 references to us using the link https://www.oticon.global/about/jobs/careers/open-positions/job-details2?id=14404. We hope we hear from you as soon as possible and no later than Jan. 3, 2021.
For questions please contact Prof. Jesper Jensen at jesj@demant.com.
We look forward to welcoming you.
@ieeeSPS
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