Computational Imaging

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.

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

--

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

Topic: Geometric Structure Adaptation of Wide-angle Photography

• PhD in computer science, electrical and computer engineering, or other related area, preferably awarded in the past three years.
• Have background on a relevant computer science area, notably in computer vision and computer graphics fields, demonstrated by a publication record in top-ranked conferences and/or journals.
• Have strong motivation to perform research in a rich and stimulating research group, as well as to advance state-of-the-art through the publication of results in international conferences and peer reviewed journals. 
• Be fluent in English, with good oral, technical writing and presenting skills. 
• Have good programming skills (Python, C/C++, etc.). 
• Well-known researchers will coordinate the research work with the selected candidate: Prof. João Ascenso and Prof. Paula Queluz. The candidate will join a dynamic team of Professors and PhD students where strong research and development activities in visual analysis and processing are carried out. 

The school of Electrical, Information and Media Engineering,

Institute for High Frequency & Communication Technology (Head: Prof. Dr. Ullrich Pfeiffer), invites applications for a position as:

Research Assistant in the Field of 1-bit 3D Imaging

This position is to be filled as soon as possible for 3 years.

The position is to be filled with 100% of the tariff working hours (Part-time is possible, please state when applying whether you would also be interested in a part-time job)

Salary: E 13 TV-L

Professional and personal requirements:

• scientific university degree (Master or comparable or superior qualification) in Computer Science, Communications Engineering, Electrical Engineering or comparable
• outstanding grades over the academic vita
• very good knowledge of sensor signal processing (e. g., time-frequency analysis, quantization) and its underlying mathematical foundations, additional knowledge of 3D sensing technologies and their principles of operation is highly desired
• proficiency in MATLAB, Python, or C++, additional knowledge in FPGA programming is an advantage
• genuine interest in interdisciplinary work
• team work capabilities, as well as good communication and organization skills
• very good knowledge of English (C1)

Responsibilities and duties:

• collaboration in the DFG research project "1-Bit 3-Dimensional Imaging" (1B3D)
• further development of existing techniques for 1-bit 3D imaging based on the Time-of-Flight principle and exploiting noise-shaping methods
• development and evaluation of enhanced methods for retrieving depth (distance) from the corresponding streams of 1-bit data
• extension of the aforementioned methods and evaluation procedures to the case of multiple observed depths per pixel (i. e., the multi-path effect)
• development of autocalibration routines and other necessary methods to handle hardware mismatch and hardware limitations, e.g., in terms of dynamic range and resolution
• testing and validation of the developed methods in real 1-bit ToF hardware to be developed within the same project at the Center for Sensor Systems (ZESS) of the University of Siegen
• synergistic interaction and efficient team work with the other researchers of the 1B3D project and with other group members
• the applicant should not only independently carry out the respective research project, but also participate in the organization of project workshops and the production of research reports and scientific publications

This is a qualification position within the meaning of the Science Time Contract Act (Wissenschaftszeitvertragsgesetz – WissZeitVG), which can be filled to promote the following scientific or artistic qualification: Acquisition of professional experience in the implementation of the DFG research project "All-Optical Off-Pixel Resonant Demodulation for Very-High-Resolution Time-of- Flight Imaging".

The duration of the employment contract shall be appropriate to the scientific qualification sought.

Dr.-Ing. habil. Miguel Heredia Conde will answer your questions about the position (herediaconde@uni-wuppertal.de).

Reference code: 23403

Applications including all relevant credentials (motivation letter, CV, proof of successful graduation, job references) should be addressed to Dr.-Ing. habil. Miguel Heredia Conde and solely submitted via the online portal of the University of Wuppertal: https://stellenausschreibungen.uni-wuppertal.de. Kindly note, that incomplete applications will not be considered.

The University of Wuppertal is an equal opportunity employer. Applications from persons of any gender are highly welcome. In accordance with the Gender Equality Act of North Rhine-Westphalia women will be given preferential consideration unless there are compelling reasons in favour of an applicant who is not female. The same applies to applications from disabled persons, who will be given preference in the case of equal suitability.

Application deadline: 2024-02-26

The school of Electrical, Information and Media Engineering,

Institute for High Frequency & Communication Technology (Head: Prof. Dr. Ullrich Pfeiffer), invites applications for

a position as

Research Assistant in the Field of Computational Time-of-Flight 3D Imaging

This position is to be filled as soon as possible for 3 years.

The position is to be filled with 100% of the tariff working hours (Part-time is possible, please state when applying whether you would also be interested in a part-time job)

Salary: E 13 TV-L

Professional and personal requirements:

• scientific university degree (Master or comparable or superior qualification) in Electrical Engineering, Physics, Computer Science, Communications Engineering or comparable
• outstanding grades over the academic vita
• very good knowledge of optics and imaging systems, additional knowledge of MEMS operation principles is highly desired, experience or knowledge of 3D sensing technologies and their principles of operation is an advantage
• proficiency in MATLAB, Python, or C++. Knowledge of FPGA programming
• genuine interest in interdisciplinary work
• team work capabilities, as well as good communication and organization skills
• very good knowledge of English (C1)

Responsibilities and duties:

• collaboration in the DFG research project "All-Optical Off-Pixel Resonant Demodulation for Very- High-Resolution Time-of-Flight Imaging"
• development of methods for all-optical external demodulation for Time-of-Flight imaging exploiting fast micromirrors, this implies the design and simulation of tailored optical setups to implement the proposed methods
• construction of one or several optical setups based on the performance insights gained from the simulations
• development of a camera system including a high-resolution CCD imaging frontend, a modulated NIR illumination system, and an FPGA for centralized control and data acquisition; Interfacing with the micromirror control board, to be co-developed in parallel within the project, is also foreseen; testing and validation of the developed camera system
• development of algorithms for demultiplexing and interpolation/demosaicking of the spatially- multiplexed camera data and for retrieving depth (distance) values from the latter
• extension of the aforementioned methods and evaluation procedures to the case of multiple observed depths per pixel (i. e., the multi-path effect) exploiting multi-frequency measurements

• demonstration of material imaging capabilities using the developed prototype, exploiting 3D features and neural networks as classifiers
• synergistic interaction and efficient team work with the other researchers of the project and with other ZESS group members
• the applicant should not only independently carry out the respective research project, but also participate in the organization of project workshops and the production of research reports and scientific publications

This is a qualification position within the meaning of the Science Time Contract Act (Wissenschaftszeitvertragsgesetz – WissZeitVG), which can be filled to promote the following scientific or artistic qualification: Acquisition of professional experience in the implementation of the DFG research project "All-Optical Off-Pixel Resonant Demodulation for Very-High-Resolution Time-of- Flight Imaging".

The duration of the employment contract shall be appropriate to the scientific qualification sought.

Dr.-Ing. habil. Miguel Heredia Conde will answer your questions about the position (herediaconde@uni-wuppertal.de).

Reference code: 23402

Applications including all relevant credentials (motivation letter, CV, proof of successful graduation, job references) should be addressed to Dr.-Ing. habil. Miguel Heredia Conde and solely submitted via the online portal of the University of Wuppertal: https://stellenausschreibungen.uni-wuppertal.de. Kindly note, that incomplete applications will not be considered.

The University of Wuppertal is an equal opportunity employer. Applications from persons of any gender are highly welcome. In accordance with the Gender Equality Act of North Rhine-Westphalia women will be given preferential consideration unless there are compelling reasons in favour of an applicant who is not female. The same applies to applications from disabled persons, who will be given preference in the case of equal suitability.

Application deadline: 2024-02-26

The school of Electrical, Information and Media Engineering,
Institute for High Frequency & Communication Technology (Head: Prof. Dr. Ullrich Pfeiffer),
invites applications for a position as
Research Assistant in the Field of Computational Time-of-Flight 3D Imaging

This position is to be filled for the period March 1, 2024 until February 28, 2027.

The position is to be filled with 100% of the tariff working hours (Part-time is possible, please state when applying whether you would also be interested in a part-time job)
Salary: E 13 TV-L

Professional and personal requirements:
- scientific university degree (Master or comparable or superior qualification) in Electrical Engineering, Physics, Computer Science, Communications Engineering or comparable
- outstanding grades over the academic vita
- very good knowledge of optics and imaging systems, additional knowledge of MEMS operation principles is highly desired, experience or knowledge of 3D sensing technologies and their principles of operation is an advantage
- proficiency in MATLAB, Python, or C++. Knowledge of FPGA programming
- genuine interest in interdisciplinary work
- team work capabilities, as well as good communication and organization skills
- very good knowledge of English (C1)

Responsibilities and duties:
- collaboration in the DFG research project "All-Optical Off-Pixel Resonant Demodulation for Very-High-Resolution Time-of-Flight Imaging"
- development of methods for all-optical external demodulation for Time-of-Flight imaging exploiting fast micromirrors, this implies the design and simulation of tailored optical setups to implement the proposed methods
- construction of one or several optical setups based on the performance insights gained from the simulations
- development of a camera system including a high-resolution CCD imaging frontend, a modulated NIR illumination system, and an FPGA for centralized control and data acquisition; Interfacing with the micromirror control board, to be co-developed in parallel within the project, is also foreseen; testing and validation of the developed camera system
- development of algorithms for demultiplexing and interpolation/demosaicking of the spatially-multiplexed camera data and for retrieving depth (distance) values from the latter
- extension of the aforementioned methods and evaluation procedures to the case of multiple observed depths per pixel (i. e., the multi-path effect) exploiting multi-frequency measurements
- demonstration of material imaging capabilities using the developed prototype, exploiting 3D features and neural networks as classifiers
- synergistic interaction and efficient team work with the other researchers of the project and with other ZESS group members
- the applicant should not only independently carry out the respective research project, but also participate in the organization of project workshops and the production of research reports and scientific publications

This is a qualification position within the meaning of the Science Time Contract Act (Wissenschaftszeitvertragsgesetz – WissZeitVG), which can be filled to promote the following scientific or artistic qualification: Acquisition of professional experience in the implementation 

of the DFG research project "All-Optical Off-Pixel Resonant Demodulation for Very-High-Resolution Time-of- Flight Imaging".
The duration of the employment contract shall be appropriate to the scientific qualification sought.

Dr.-Ing. habil. Miguel Heredia Conde will answer your questions about the position 
(herediaconde@uni-wuppertal.de).

Reference code: 23402

Applications including all relevant credentials (motivation letter, CV, proof of successful graduation, job references) should be addressed to Dr.-Ing. habil. Miguel Heredia Conde and solely submitted via the online portal of the University of Wuppertal: 
https://stellenausschreibungen.uni-wuppertal.de. Kindly note, that incomplete applications will not be considered.

The University of Wuppertal is an equal opportunity employer. Applications from persons of any gender are highly welcome. In accordance with the Gender Equality Act of North Rhine-Westphalia women will be given preferential consideration unless there are compelling reasons in favour of an applicant who is not female. The same applies to applications from disabled persons, who will be 
given preference in the case of equal suitability.
Application deadline: 2024-01-15

The school of Electrical, Information and Media Engineering,
Institute for High Frequency & Communication Technology (Head: Prof. Dr. Ullrich Pfeiffer),
invites applications for a position as

Research Assistant in the Field of 1-bit 3D Imaging
This position is to be filled for the period March 1, 2024 until February 28, 2027.

The position is to be filled with 100% of the tariff working hours (Part-time is possible, please state when applying whether you would also be interested in a part-time job)
Salary: E 13 TV-L

Professional and personal requirements:
- scientific university degree (Master or comparable or superior qualification) in Computer Science, Communications Engineering, Electrical Engineering or comparable
- outstanding grades over the academic vita
- very good knowledge of sensor signal processing (e. g., time-frequency analysis, quantization) and its underlying mathematical foundations, additional knowledge of 3D sensing technologies and their principles of operation is highly desired
- proficiency in MATLAB, Python, or C++, additional knowledge in FPGA programming is an advantage
- genuine interest in interdisciplinary work
- team work capabilities, as well as good communication and organization skills
- very good knowledge of English (C1)

Responsibilities and duties:
- collaboration in the DFG research project "1-Bit 3-Dimensional Imaging" (1B3D)
- further development of existing techniques for 1-bit 3D imaging based on the Time-of-Flight principle and exploiting noise-shaping methods
- development and evaluation of enhanced methods for retrieving depth (distance) from the corresponding streams of 1-bit data
- extension of the aforementioned methods and evaluation procedures to the case of multiple observed depths per pixel (i. e., the multi-path effect)
- development of autocalibration routines and other necessary methods to handle hardware mismatch and hardware limitations, e.g., in terms of dynamic range and resolution
- testing and validation of the developed methods in real 1-bit ToF hardware to be developed within the same project at the Center for Sensor Systems (ZESS) of the University of Siegen
- synergistic interaction and efficient team work with the other researchers of the 1B3D project and with other group members
- the applicant should not only independently carry out the respective research project, but also participate in the organization of project workshops and the production of research reports and scientific publications

This is a qualification position within the meaning of the Science Time Contract Act (Wissenschaftszeitvertragsgesetz – WissZeitVG), which can be filled to promote the following scientific or artistic qualification: Acquisition of professional experience in the implementation 
of the DFG research project "All-Optical Off-Pixel Resonant Demodulation for Very-High-Resolution Time-of- Flight Imaging".
The duration of the employment contract shall be appropriate to the scientific qualification sought.

Dr.-Ing. habil. Miguel Heredia Conde will answer your questions about the position 
(herediaconde@uni-wuppertal.de).

Reference code: 23403

Applications including all relevant credentials (motivation letter, CV, proof of successful graduation, job references) should be addressed to Dr.-Ing. habil. Miguel Heredia Conde and solely submitted via the online portal of the University of Wuppertal: 
https://stellenausschreibungen.uni-wuppertal.de. Kindly note, that incomplete applications will not be considered.

The University of Wuppertal is an equal opportunity employer. Applications from persons of any gender are highly welcome. In accordance with the Gender Equality Act of North Rhine-Westphalia women will be given preferential consideration unless there are compelling reasons in favour of an applicant who is not female. The same applies to applications from disabled persons, who will be 
given preference in the case of equal suitability.
Application deadline: 2024-01-15

About the Project

Applications are invited for a fully-funded three year PhD to commence in October 2023. 

The PhD will be based in the Schools of Energy and Electronic Engineering and Mechanical and Design Engineering, and will be supervised by Dr John Chiverton, Dr Aikaterina Karali and Dr. Andrea Bucchi.

Successful applicants will receive a bursary to cover tuition fees for three years and a stipend in line with the UKRI rate (£18,622 for 2023/24). Bursary recipients will also receive a £1,500 p.a. for project costs/consumables. 

The work on this project could involve:

• Algorithmic development of techniques used for the simulation of 3D and 4D imaging data;
• Training and development of generative neural networks;
• Simulation and mathematical modelling of biological tissues;
• Software programming using one or more of C++, Python or Matlab.

Project description

This project is a combination of two important and topical fields of research: the exciting world of deep learning based generative neural networks and the simulation of biological materials; specifically the structure and function of cells in their surrounding fibre based cellular matrix structures. New techniques will be created that bridge these interdisciplinary boundaries. 

Mathematical models and code will be developed and used to digitally synthesize, at high resolution, 4D synthetic imaging data. The image degradation process for a number of imaging modalities, such as nano-scale  X-ray Computed Tomography (XCT) will also be taken into account. Generative deep learning based techniques will be developed in tandem with conventional volumetric image processing techniques.

The work will build on existing techniques in the area of volumetric (3D) image simulation but also techniques based on deep learning for image processing [Chiverton et al]. Co-supervisory expertise will include the areas of bioengineering and microscopic imaging [Karali et al]. This could involve the development of a digital test-bed for the investigation of the role of the surrounding cellular matrix and the effect of its properties on the growth and proliferation of cells as well as the associated algorithmic and model developments. 

General admissions criteria

You'll need a good first degree from an internationally recognised university (minimum upper second class or equivalent, depending on your chosen course) or a Master’s degree in an appropriate subject. In exceptional cases, we may consider equivalent professional experience and/or qualifications. English language proficiency at a minimum of IELTS band 6.5 with no component score below 6.0.

Specific candidate requirements

Basic knowledge of at least one programming language and an engineering or science based degree is expected.

How to Apply

We’d encourage you to contact Dr John P Chiverton  (john.chiverton@port.ac.uk) to discuss your interest before you apply, quoting the project code.

When you are ready to apply, you can use our online application form. Make sure you submit a personal statement, proof of your degrees and grades, details of two referees, proof of your English language proficiency and an up-to-date CV. Our ‘How to Apply’ page offers further guidance on the PhD application process.

If you want to be considered for this funded PhD opportunity you must quote project code SENE8340723 when applying.

Funding Notes