Machine Learning for Signal Processing

We are seeking independent, visionary researchers ready to push the boundaries of AI and machine learning. If you are an ambitious scientist looking to make a lasting impact, apply now to join this exciting new institute and help shape the future of intelligent systems!

We aim to recruit outstanding researchers to Principal Investigator positions at ELLIS Institute Finland, and encourage applications in all areas of machine learning, artificial intelligence, and related disciplines. Our particular focus is on complementing and further strengthening the Finnish ELLIS community’s existing strengths in machine learning, including data-efficient probabilistic machine learning, interactive and cooperative machine learning, and transformative multidisciplinary collaboration.

 Our PI/assistant professor positions include:

• Appointment as a Fellow or Scholar of the ELLIS Society,
• Professor position at a Finnish university; determined based on mutual interests and your research focus,
• A competitive salary and substantial starting package to build your research group,
• Research and travel funding,
• Occupational health benefits,
• Easy access to top-tier computing facilities, including EuroHPC LUMI, one of the world’s fastest and greenest supercomputers, and
• A collaborative and diverse research environment, with strong ties to industry, startups, and academic institutions.

ELLIS (European Laboratory for Learning and Intelligent Systems) is a major European initiative in AI with a mission to strengthen Europe’s AI landscape by connecting top researchers, attracting talent, and fostering strategic collaborations. ELLIS unites leading machine learning researchers in Europe and operates as a multi-centric, pan-European AI Lab, currently spanning 43 research sites.

ELLIS Institute Finland is the second institute in the ELLIS network, partnering with Finnish universities to offer applicants co-affiliated tenure track professor positions. This enables researchers to engage with students and collaborate across disciplines, leveraging the strengths of their affiliated universities.

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. 

Do you want to dive into the exciting field of distributed machine learning with a special focus on privacy/security? This research topic is going to shake up how we understand and apply machine learning, with the aim of creating safer and more private solutions in an increasingly digitized world. Successful applicants will have the opportunity to explore and contribute to groundbreaking research questions. While specific research questions will be discussed with the successful applicant, they may include themes such as federated learning, fully decentralized learning, straggler mitigation, graph neural networks, and differential privacy. This is not just an opportunity to develop and shape your own research project, but also to help shape the future of machine learning and privacy. 

Simula UiB currently has 12 early career researchers working on a range of research problems in cryptography and information theory. We can offer a vibrant, stimulating, and inclusive working environment to successful candidates. The position is for two years, with a possible extension of one year. 

Simula UiB offers:

• Excellent opportunities for conducting high-quality research, as part of a highly competent and motivated team of researchers.
• An informal, inclusive and international working environment.
• Support for travel and opportunities to build international networks.
• Modern office facilities located at Marineholmen in the city centre of Bergen.
• A competitive salary; starting salary from NOK 575 400.
• Numerous employee benefits, including access to a company cabin, sponsored social events, an equipment budget, and a comprehensive travel/health insurance policy.
• Relocation assistance, including complimentary Norwegian language courses.
• Healthy wellness and work-life balance arrangements.

For full consideration, please submit applications no later than December 31, 2024, using the following site: https://www.simula.no/careers/job-openings/postdoctoral-fellow-in-information-theorymachine-learning

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 School of Engineering & Applied Science (SEAS) at the University of Virginia (UVa) seeks candidates for a tenure-eligible or tenured position in the Department of Electrical and Computer Engineering. The primary responsibilities for this position include research, teaching, and service to the department, university, and professional community. The appointment rank and compensation will be commensurate with experience and qualifications. 

The search is in the general area of neuroimaging, brain function and connectivity, and artificial intelligence, with applications to neuroscience and/or neuro-degenerative disorders. The school is especially interested in candidates who are interested in developing technologies that will enable a comprehensive understanding of the brain. Strategic integration of computational methods such as machine learning, signal processing, network theory, and a focus on application to neurological disorders including autism and Alzheimer’s disease, is desirable.

Example research areas include, but are not limited to

• Neuroimaging
• Investigation of brain function and connectivity at multiple scales
• Brain machine interfaces and neural signal processing
• Neuromodulation and stimulation
• Neuroinformatics

The Electrical and Computer Engineering (ECE) Department at the University of Virginia (UVA offers a vibrant environment for interdisciplinary research and collaboration, with strengths in areas such as machine learning, imaging, cyber-physical systems, embedded systems, communication networks, and energy systems. ECE at UVA emphasizes both foundational and applied research, preparing students for leadership in industry, academia, and government. Faculty members benefit from access to cutting-edge facilities and are encouraged to engage in research that addresses societal challenges. The close proximity with the School of Medicine offers rich opportunities for collaborations in the areas of Radiology, Neurology and Neuroscience, and Neurosurgery. Other collaborative opportunities include Biomedical Engineering, Psychology, and School of Data Science.

The University of Virginia's 2030 plan recognizes the Brain and Neuroscience as a major societal challenge and an opportunity for multidisciplinary work that draws on our existing strengths. In partnership the Provost and the deans of various schools are making multiple coordinated faculty recruitments to strengthen the research community focusing on Brain and Neuroscience across the University. Recruits will receive support from the Provost and from their school and will participate in the Brain and Neuroscience Initiative.  This is part of a major Grand Challenges research investment of over $50M in Brain and Neuroscience.

This position is based in Charlottesville at our principal location.  UVA is a highly selective undergraduate and graduate institution that annually ranks as one of the premiere public universities in the United States, with one of the highest graduation rates in the nation. UVA is situated in Charlottesville, Virginia, a picturesque and vibrant small city consistently recognized as one of the nation's top places to reside. UVA's location offers proximity to Washington D.C., enriching opportunities for collaboration and engagement with numerous federal organizations. More information about the city, the school, faculty benefits and other topics can be found at https://hr.virginia.edu/careers-uva/why-uva.

Qualifications

Candidates must have received a doctorate or equivalent in electrical engineering, computer science, biomedical engineering or related areas by the start of their appointment. Evidence of a commitment to high-impact scholarship, funded research, undergraduate- and graduate-level teaching and advising excellence, professional and university service, and mentoring are expected.

In conjunction with these positions, senior graduate students are eligible and encouraged to consider the UVA Engineering Rising Scholars program. This program is designed to encourage early-career scholars to pursue a career in academia by supporting their postdoctoral work before beginning in a tenure-track position at the University of Virginia. Detailed information and application instructions are available at https://engineering.virginia.edu/rising-scholars-postdoctoral-program.

Application Instructions

Apply for this position in Interfolio. Provide the following in PDF format: 

• Cover letter that summarizes your areas of research/scholarship, and areas of potential collaboration at the University of Virginia. To help us organize our review of applications, please also specifically list your primary areas of research in boldface at the top of your letter   
• Curriculum vitae  
• A statement describing your current research, future directions, and broader impacts;  
• A statement describing your teaching and mentoring practices, especially in regard to a residential learning environment marked by the free and collegial exchange of ideas; 
• A statement describing demonstrated contributions to fostering inclusive practices that create climates in which all stakeholders can achieve their maximum potential (please focus on skills and experience, not beliefs and opinions) 
• A single file that includes two research papers that best represent your work

You will also request 3-5 references directly in Interfolio by providing names and contact information in the application. These reference requests will be generated immediately once you submit your application.

Review of applications will begin on November 1, 2024 and will continue until the position is filled. The University will perform background checks on all new faculty hires prior to making a final offer of employment.  

For questions about these positions, please contact Mathews Jacob, Professor, Electrical and Computer Engineering at mjacob@virginia.edu. 

Applications are invited for postdoctoral researcher positions in the general area of optimization and learning of network systems. Competitive financial supports will be provided.

Candidates with a clear interest in the general area of network systems are encouraged to apply.

Specific areas of research include:

• multi-agent optimization and learning
• game theory
• cooperative control

Clemson University is ranked 23rd among national public universities by U.S. News & World Report. It is described by students and faculty as an inclusive, student-centered community characterized by high academic standards, a culture of collaboration, school spirit, and a competitive drive to excel. Clemson is located on Lake Hartwell in the foothills of the Blue Ridge Mountains, an area of outstanding natural beauty and temperate climate. It is 30 miles from Greenville, SC, a vibrant and growing city which provides many opportunities for entertainment, culture, and fine dining.

Strong mathematical and analytic skills are desired. Candidates with a demonstrated track record in one or more of the previous area(s) will be preferred. Interested students should send a short resume, along with representative relevant publications, to yongqiw@clemson.edu

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

We are excited to announce a two-year postdoc position in self-supervised and weakly-supervised learning for signals, e.g. speech, audio, text, and images. While the success of deep learning largely relies on the presence of substantial amounts of labeled data, the prevailing reality often entails the abundance of unlabeled or inadequately labeled data. This project focuses on the development of weakly-supervised and self-supervised learning methods to harness these data resources and gain deeper insights into the underlying mechanisms of these methods. The position is funded by Pioneer Centre for AI, Denmark. The deadline is 8 Nov 2023. Please apply or share with someone who might be interested. 

URL: Vacant scientific position at Aalborg University - Aalborg University (aau.dk)