AASP
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.
Large language models(LLMs) have demonstrated increasingly powerful capabilities for reasoning tasks, especially in text. The project aims to explore and advance these capabilities in reasoning across multiple data modalities, including but not limited to text, speech and audio. The integration of multiple modalities can lead to more robust and general systems capable of understading and reasoning about the world in a more human-like manner. The project will involve fine-tuning pre-trained models and developing self-supervised learning techniques to adapt LLMs for multimodal tasks.
Application deadline: 16 March 2025
Apply here.
Luleå University of Technology is in strong growth with world-leading competence in several research areas. We shape the future through innovative education and ground-breaking research results, and based on the Arctic region, we create global social benefit. Our scientific and artistic research and education are conducted in close collaboration with international, national and regional companies, public actors and leading universities. Luleå University of Technology has a total turnover of SEK 2 billion per year. We currently have 1,500 employees and 17,900 students.
In the coming years, multi-billion investments will be made in large projects in Northern Sweden to create a fossil-free society both nationally and globally. Luleå University of Technology is involved in several of these cutting-edge research projects and in the societal transformation that they entail. We offer a broad range of courses and study programmes to match the skills in demand. We hope that you will help us to build the sustainable companies and societies of the future.
The department of Computer Science, Electrical and Space Engineering at Luleå University of Technology (LTU) is offering a scholarship for a Postdoctoral Fellow to carry out research with the Signal Processing group. Current research in Signal Processing takes place in the areas of measurement technology and wireless communications, in close cooperation with industry. In our research we seek to understand how to infer information from measurement data and how to reliably convey such information from one place or time to another. We are looking for an ambitious and creative colleague who wants to contribute to cutting edge research.
Project description
Since the introduction of advanced imaging technologies, ultrasound systems have been extensively used in biomedical diagnostics and industrial non-destructive testing (NDT/E). While array-based imaging methods such as Full Matrix Capture have enhanced data acquisition, limitations in resolution and hardware complexity persist. With the development of optimized array designs and AI-driven methodologies, this research aims to explore the principles of array signal processing and machine learning to enable the next generation of ultrasound imaging and sensing solutions. The funding of this scholarship and project is provided by the Kempe foundations.
Subject description
The subject includes signal processing with emphasis on development and optimization of algorithms for processing single and multi-dimensional signals that are closely related to applications and applied research.
Qualifications
To qualify for a position as a postdoctoral research fellow, you must have a PhD, a doctoral degree or a foreign degree equivalent to a PhD or doctoral degree in signal processing or Ultrasound signal processing or in related topics. Experience in machine learning and MATLAB programming is desirable. Candidates should have an excellent mastering of the English language, both orally and in writing.
A doctoral degree awarded no more than five years before the application deadline provides a useful qualification. Candidates who have been awarded a doctoral degree at an earlier date may also be considered if there are special grounds, for example, different types of statutory leave of absence. Applicants who are very close to finishing a PhD are also encouraged to apply.
Further information
The postdoctoral fellowship is awarded for two years with placement in Luleå. The awarded scholarship recipient receives a scholarship of SEK 30 000 per month, which is higher than the average net income in the area. Starting date is according to agreement between the two parties.
For further information about the scholarship, please contact: Johan Carlson, Professor, johan.carlson@ltu.se
Read more about our work here.
Application
We prefer that you apply for this position by clicking on the apply button below. The application must include a CV, personal letter and copies of verified diplomas from high school and universities. Your application, including diplomas, must be written in English or Swedish. Mark your application with the reference number below.
Tenure-Track Faculty Position in Signal Processing
The Electrical and Systems Engineering department at Washington University in St. Louis invites applications for multiple tenure-track faculty positions with an effective start date on or after July 1, 2025. Candidates should have earned a Ph.D. or equivalent degree in electrical engineering, systems engineering, computer engineering or a closely related discipline. Washington University is a highly-selective national research university with a strong tradition of research excellence. It is nationally known for its student body's exceptional quality and attractive campus, which borders residential neighborhoods and one of the nation’s largest urban parks. Many faculty walk or bike to work. St. Louis combines affordability with a vibrant metropolitan area, offering many cultural and entertainment opportunities.
The University’s strategic plan, released in 2022, seeks growth of top-tier research, scholarship, and creative practice with an emphasis on transdisciplinary and cross-school research. Included in this plan are foci related to applications in medicine, public health, infrastructure, and addressing pressing societal challenges. We seek both junior and senior applicants who will contribute to fundamental and applied research in signal processing and closely related areas. Examples include:
(I) Signal processing and deep learning
(II) Graph signal processing
(III) Audio, speech and image processing
(IV) Signal processing in neuroscience
(V) Statistical machine learning
Successful applicants will have a primary appointment in the department of Electrical and Systems Engineering with the possibility of joint appointments in other departments. The faculty member will be expected to teach undergraduate and graduate courses in electrical and systems engineering, participate in university service, and establish a thriving externally-funded research program. Faculty positions are open for all levels; appointment at a senior rank (associate and full professor) will be considered for exceptional candidates with a distinguished record of achievement in research and teaching.
Candidates should have earned a Ph.D. or equivalent degree in electrical engineering, systems engineering, computer engineering or a closely-related discipline.
Applications should include: (1) a cover letter that identifies the candidate’s three most significant publications and describes their interest in the position; (2) a curriculum vitae; (3) a research plan for the next five years that should not exceed three pages, and should highlight the problem(s) or set of questions to be investigated, the envisioned approach, a mentoring strategy, and the proposed funding sources; (4) a statement of teaching interests and philosophy (not exceeding 2 pages); (5) a statement describing contributions to and future plans for enhancing diversity (not exceeding 2 pages); and (6) a list of at least three references via the link provided at
https://apply.interfolio.com/157328
Priority will be given to completed applications (including submitted reference letters) received before December 15, 2024. However, applications will be accepted at any time and will be considered until the positions are filled. Washington University in St. Louis is committed to the principles and practices of equal employment opportunity and especially encourages applications by those underrepresented in their academic fields. It is the University’s policy to recruit, hire, train, and promote persons in all job titles without regard to race, color, age, religion, sex, sexual orientation, gender identity or expression, national origin, protected veteran status, disability, or genetic information. Verification of employment eligibility will be required upon employment.
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
Postdoc Position
The 3D Audio and Applied Acoustics (3D3A) Laboratory at Princeton University announces the availability of a postdoctoral research associate position in the general area of spatial audio. Current sub-areas of research include sound field control, sound field isolation, 3D audio through loudspeakers and headphones, and 3D sound field navigation. Working knowledge and/or good command of the principles of binaural audio, higher-order ambisonics, spatial sound perception, HRTF, fundamental acoustics, digital signal processing, and computer programming are expected. Knowledge of adaptive filtering, and machine learning is a plus. A Ph.D. is required. Appointments are for one year with the possibility of renewal pending satisfactory performance and continued funding.
Technical Staff PositionApplicants are encouraged to send a copy of their CV to 3d3a@princeton.edu along with any questions they may have.
The Signal Processing research group at the Universität Hamburg has a 3-year opening funded by the German Research Foundation (DFG) on machine learning approaches for joint spatial-spectral multi-microphone speech enhancement.
See our webpage for details and on how to apply.
The Signal Processing Division and the Collaborative Research Centre Hearing Acoustics at the University of Oldenburg in Germany are seeking to fill the position of a
Research Scientist (PhD Student) - “Unsupervised/semi-supervised learning algorithms for speech enhancement and source localization”
The position is available from 01.08.2023 for 3 years, with salary according to TV-L E13 (75%), corresponding to about 3.200 € per month before taxes (exact amount depending on experience and qualifications).
The main activities of the Signal Processing Division (https://uol.de/en/mediphysics-acoustics/sigproc) centre around signal processing for acoustical and biomedical applications, with a focus on hearing aids and speech communication devices. More specifically, research topics in the areas of microphone array processing, speech enhancement and acoustic scene analysis are addressed, using a combination of model-based statistical signal processing techniques and data-driven machine learning methods. The Signal Processing Division has access to excellent high-performance computing facilities, measurement equipment and labs, e.g., a unique lab with variable acoustics.
The Collaborative Research Centre Hearing Acoustics (https://uol.de/en/sfb-1330-hearing-acoustics) aims at a fundamentally better quantitative understanding of the principles underlying the processing of complex auditory and audio-visual scenes, the implementation of this knowledge in algorithms for perceptual enhancement of acoustic communication, and the evaluation of these algorithms for different applications. The successful candidate is expected to investigate unsupervised/semi-supervised learning algorithms for speech enhancement and source localization within a hybrid computational acoustic scene analysis (CASA) framework. Using this CASA framework, we aim at leveraging the potential of recent machine learning methods while maintaining the interpretability of conventional signal processing modules through high-level interpretable latent variables.
Responsibilities/Tasks
Profile
For applicants outside of the European Union it is highly recommended to check if your academic university degree is equivalent to a German higher education qualification. Please consult the website of the Central Office for Foreign Education (https://www.kmk.org/zab/central-office-for-foreign-education.html) for more information and to apply for a statement of comparability.
The University of Oldenburg is dedicated to increasing the percentage of women in science. Therefore, equally qualified female candidates will be given preference. Applicants with disabilities will be preferentially considered in case of equal qualification.
To apply for this position, please send your application (ref. SP232) including a letter of motivation with a statement of skills and research interests (max. 1 page), curriculum vitae, and a copy of the university diplomas and transcripts to simon.doclo@uol.de. The application deadline is 21.04.2023.
This PhD stipend is funded by the Pioneer Centre for Artificial Intelligence’s Collaboratory, Signals and Decoding. The Pioneer Centre for AI is located at the University of Copenhagen, with partners at Aarhus University, Aalborg University, The Technical University of Denmark, and the IT University of Copenhagen. There will be a cohort of PhD students starting during the fall of 2023 across the partner universities. PhD students at the Pioneer Centre for AI will have extraordinary access computing resources, to international researchers across many disciplines within computer sciences and other academic areas, as well as courses and events at the centre, and meaningful collaboration with industry, the public sector, and the start-up ecosystem.
Centre website: www.aicentre.dk
To date, most successful applications of deep learning in signals and decoding are based on supervised learning. However, supervised learning is contingent on the availability of labelled data, i.e., each sample has a semantic annotation. The need for labelled data is a serious limitation to applications at scale and complicates the maintenance of real-life supervised learning systems.
The typical situation is that unlabelled data is abundant, and this has given rise to paradigms such as semi-supervised and self-supervised learning (SSL). Both directions in SSL are based on combining large amounts of unlabelled data with limited labelled data. While semi-supervised learning invokes generative models to learn representations that support learning with few labels, self-supervised learning is based on supervised learning with a supervisory signal derived from the data itself.
The goal of this PhD study is to develop novel semi-supervised and self-supervised methods for modeling signals of various modalities (e.g., speech, audio, vision, text) and analyse the complexity of the developed models. The PhD student during the study is further provided with opportunities to do research at other units and the headquarter of the Pioneer Centre as well as abroad.
The PhD candidate is expected to have:
You may obtain further information from Professor Zheng-Hua Tan, Department of Electronic Systems, phone: +45 99 40 86 86, email: zt@es.aau.dk, concerning the scientific aspects of the stipend.
02/04/2023
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