Signal Processing Theory and Methods

Title: Sparse predictive models for the analysis and classification of pathological speech

Duration: from 01/11/2021 to 31/12/2022 (could be extended to an advanced position)

Required Knowledge and background: A solid knowledge in speech/signal processing; A good mathematical background; Basics of machine learning; Programming in Matlab and Python.

Application and more information : https://jobs.inria.fr/public/classic/en/offres/2021-03570

Context and objectives : During this century, there has been an ever increasing interest in the development of objective vocal biomarkers to assist in diagnosis and monitoring of neurodegenerative diseases and, recently, respiratory diseases because of the Covid-19 pandemic. The literature is now relatively rich in methods for objective analysis of dysarthria, a class of motor speech disorders [1], where most of the effort has been made on speech impaired by Parkinson’s disease. However, relatively few studies have addressed the challenging problem of discrimination between subgroups of Parkinsonian disorders which share similar clinical symptoms, particularly is early disease stages [2]. As for the analysis of speech impaired by respiratory diseases, the field is relatively new (with existing developments in very specialized areas) but is taking a great attention since the beginning of the pandemic.

On the other hand, the large majority of existing processing methods (of pathological speech in general) still heavily rely on a core of feature estimators designed and optimized for healthy speech. There exist thus a strong need for a framework to infer/design speech features and cues which remain robust to the perturbations caused by (classes of) disordered speech. The first and main objective of this proposal is to explore the framework of sparse modeling of speech which allow a certain flexibility in the design and parameter estimation of the source-filter model of speech production. This exploration will be essentially based on theoretical advances developed by the GEOSTAT team and which have led to a significant impact in the field of image processing, not only at the scientific level [3] but also at the technological level (www.inria.fr/fr/i2s-geostat-un-innovation-lab-en-imagerie-numerique).

The second objective of this proposal is to use the resulting representations as inputs to basic machine learning algorithms in order to conceive a vocal biomarker to assist in the discrimination between subgroups of Parkinsonian disorders (Parkinson’s disease, Multiple-System Atrophy, Progressive Supranuclear Palsy) and in the monitoring of respiratory diseases (Covid-19, Asthma, COPD).

Both objectives benefit from a rich dataset of speech and other biosignals recently collected in the framework of two clinical studies in partnership with university hospitals in Bordeaux and Toulouse (for Parkinsonian disorders) and in Paris (for respiratory diseases).

References:

[1] J. Duffy. Motor Speech Disorders Substrates, Differential Diagnosis, and Management. Elsevier, 2013.

[2] J. Rusz et al. Speech disorders reflect differing pathophysiology in Parkinson's disease, progressive supranuclear palsy and multiple system atrophy. Journal of Neurology, 262(4), 2015.

[3] H. Badri. Sparse and Scale-Invariant Methods in Image Processing. PhD thesis, University of Bordeaux, France, 2015.

Digital Voice Systems, Inc. (DVSI) is seeking a qualified Speech Research & Development Engineer at our office in Westford, MA.  This is a great opportunity to join our team of world class engineers in designing high quality voice compression technology that is implemented in hundreds of millions of telecommunication systems world-wide.

The ideal candidate will play a key role in the research and development of DVSI's next generation of digital speech compression technology including speech analysis; speech modeling; model parameter estimation; quantization; speech synthesis; error correction and mitigation methods; as well as, echo cancellation and noise reduction.

Desired Qualifications

•  Research and development experience in speech or audio

•  Knowledge of programming languages, i.e. C/C++, Matlab etc.

•  PhD (or equivalent) in Electrical Engineering or Software Engineering with an emphasis in Signal Processing

•  U.S. Citizenship or Permanent Residency required

Compensation

•  Competitive salary

•  Benefits package

•  Excellent working environment

Company Background

Founded in 1988, Digital Voice Systems, Inc. (DVSI) is the world leader in the development of low data rate, high-quality speech compression products for use in digital mobile radio, satellite and other wireless communication systems. DVSI’s patented line of Multi-Band Excitation vocoders have been successfully implemented in a full range of private and standards-based digital communication systems worldwide.

Télécom SudParis is recruiting an Associate Professor with research interests in statistics and applied probability with application to statistical signal processing or information theory. The strategic objective of recruitment is to meet the growing demand for engineers with expertise in signal processing and information theory with a strong foundation in applied probability and statistics to work in fast-growing areas, such as artificial intelligence, energy, and data science.

The candidate's research will be in the field of probabilistic modeling and statistical processing, with applications in one of the priority fields of Environment and Climate, Energy, Artificial Intelligence, and Data Science, Networks, Internet of Things, and Numerical Simulation.  The recruited candidate will provide teaching in statistics, probability, stochastic processes, machine learning, in common core and in specialization, for the various teaching programs of the engineering school.  The candidate will be responsible for teaching the core curriculum for the engineering diploma, and supervising student projects and doctoral theses. They will offer courses at Masters level in their area of ​​expertise. Courses will be delivered in French and English.

About the school: Télécom SudParis is an elite French engineering school (Grandes École) of higher education and research that award engineering degrees. It produces engineers with skills in information and telecommunication science and technology, and expertise in economic, social, and environmental fields.  Located on two campuses in Evry and Palaiseau, Télécom SudParis offers an excellent environment for research and teaching.

Télécom SudParis is part of Institut Mines-Télécom (www.imt.fr) and is a founding member of the Institut Polytechnique de Paris (ip-paris.fr), a public higher education and research institution comprising five prestigious French engineering Schools: École Polytechnique, ENSTA Paris, ENSAE Paris, Télécom Paris and Télécom SudParis. Under the aegis of the Institute, they bring together two centuries of expertise to pursue two major goals: to develop world-class training programs and cutting edge research. Building on the strength of its five founding institutions, the Institut Polytechnique de Paris has established itself as a leading education and research institution in France and internationally.

The candidate will join the "Communications, Images, and Information Processing" (CITI) department and will be part of the "Information Processing for Images and Communications" (TIPIC) team of the SAMOVAR laboratory.  At the level of the Polytechnic Institute of Paris (IP Paris) the candidate will be part of the Department of Mathematics.

Candidates are strongly encouraged to contact the heads of department and research group beforehand to discuss their application:

• Wojciech PIECZYNSKI (wojciech.pieczynski@telecom-sudparis.eu), Director of CITI
• Daniel Clark (daniel.clark@telecom-sudparis.eu), Director of TIPIC

Applications must be submitted on the Institut Mines-Télécom website before March 31, 2021.

The application must include a detailed CV, describing their teaching and research activities, an integration project in teaching and a research integration project, as well as any document deemed useful by the candidate.

Interviews will be held in May (in person or by videoconference).

Seenel Imaging is hiring its R&D Engineer or equivalent specialized in Signal Processing and C++ Software

Job applies to the following areas: 
Signal Processing Theory and Methods
Computational Imaging
Bio Imaging and Signal Processing
Design and Implementation of Signal Processing Methods
Digital Signal Processing
Image, Video and Multidimensional Signal Processing

www.seenel-imaging.com

Spin off of an INSERM lab located in a University hospital, Seenel Imaging is a start up dedicated to functional Neuro-imaging for Research application. Founded in 2018, Seenel Imaging launched Medelopt®, a wearable research device combining EEG/fNIRS. 

Seenel Imaging is expanding its R&D team to accelerate their product development

Mission

• Implement signal post-processing algorithms in C ++ and OpenCV

• Create proprietary libraries (API, DLLs)

• Create motion artifact correction algorithms for brain imaging

• Develop new software bricks for improving signal quality

• Participate in functional tests of our brain imaging products

• Participate in the correction of software anomalies (bug)

• Participate in the deployment of software projects with our research partners

Background & Expertise

• Ideally 2-3 years of experience in the C++ software applications development 

• Real-time signal processing library (OpenCV)

• Real-time experience

• Curious, creative and rigorous, you do appreciate teamwork and you are above all passionate!

• Engineer or you hold a Master in Signal Processing or equivalent

Having a these additional expertise will be welcome

• Knowledge of the IEC 62304  standard 

• Knowledge of medical devicesEnglish is a Must Have and a 2nd language will be appreciated. Should you have any questions and or interest, would you please contact Seenel Imaging's HR partner.Location: Lille (France)
  
  Permanent Contract 

Many applications generate large data sets from which information needs to be extracted. The emerging field of structured data science extends signal processing to data science.

Requirements

The opening for an Assistant Professor is intended to further develop this area. A background in statistical signal processing/modelling and the ability to apply this to data science/machine learning is required. Generally we search for candidates with a strong signal processing background complementary to the expertise that is already present in the CAS group at TU Delft. Experience with biomedical signal and image processing applications is of interest. The candidate will also be involved in teaching and e.g. develop new courses on structured data science and machine learning for Electrical Engineering students.

While this position is defined as a tenure-track Assistant Professor position, excellently qualified but more senior researchers are also invited to apply. For this position, preference will be given to female applicants.

Candidates should have (1) a PhD degree in Electrical Engineering or a closely related discipline, with outstanding academic credentials, (2) several years of working experience as a Postdoctoral Researcher in an academic institution, and (3) the ambition to be a future scientific leader in the mentioned area.

Applications

To apply, please e-mail a detailed CV including a list of publications, a cover letter describing your motivation and suitability for the position, a research and a teaching statement. Send your application material via the TU Delft recruitment page. When applying for this position, please refer to vacancy number TUD00629.

Further information

For further information, contact prof. Alle-Jan van der Veen, chair of the Circuits and Systems group at TU Delft.

The Signal Acquisition, Modeling, Processing and Learning (SAMPL) lab headed by Prof. Yonina Eldar at the Weizmann Institute of Science is recruiting PhD, MSc and post-doctoral students for cutting-edge research applying signal processing and machine learning for communication and radar systems.

Candidates with strong algorithmic background are invited to send their CV and 3 recommendations.

The Communication Systems Division of the CTTC is searching for interested candidates in a Researcher position for its Advanced Signal and Information Processing (ASIP) Department.

The ASIP Department conducts fundamental and applied research on signal processing and communications, including algorithmic development, theoretical analysis and hardware development. For more information about the department, please refer to http://systems.cttc.es/advanced-signal-and-information-processing/.

TECHNICAL DESCRIPTION OF THE ACTIVITY

The candidate is expected to carry out innovative research on signal processing and machine learning for communications, particularly on the physical and access layers for 6G. The position offers excellent opportunities to develop both fundamental and applied research on wireless communication networks, bringing your personal impact to the Division’s significant contributions. As member of the ASIP department the selected candidate will

• Participate in the preparation of R&D competitive and industrial project proposals
• Lead and participate in the execution of R&D projects
• Contribute to the definition and development of the Division and ASIP department research activities
• Support the department on demonstrations and experimental activities

The position also involves the establishment of cooperation and collaboration with external entities, as well as encourages visibility and impact through the organization and participation at international conferences, congresses, standardization bodies or industrial associations.

QUALIFICATIONS AND EXPERIENCE

Applicants must hold a Ph.D. degree in telecommunications, computer science, electrical engineering, or closely related fields. We are looking for a highly motivated candidate capable of conducting independent research, as well as demonstrating excellent skills to carry out highly innovative R&D work in collaborative projects and industrial projects. Required skills and experience:

• Strong background in the following specialization areas of interest: Signal Processing for Communications, Machine Learning
• Capacity to pursue independent research and very good analytical and problem-solving skills,
• Excellent track publication record and capacity of attracting competitive funds,
• English written proficiency and good communication skills,
• R&D work experience in physical and access layers for wireless communications
• Preparation of research grant proposals such as EC funded programs,
• Very good programming skills in Matlab and Python.
• Management and participation in international and national R&D projects

Other valuable skills:

• Good programming skills in C and C++.
• Experience in experimental developments (Software Defined Radio, GNU Radio, etc)
• Proven experience in coordination/task leadership in European and other international research projects.

CONDITIONS

The position is temporary, investigador/a interino/a, according to the Spanish national law. An interim contract for vacancy is issued to temporarily cover a permanent position during the selection or promotion process for its definitive coverage, expected to take place within 3 years of the approval of the public offer of occupation with regards to the vacant permanent position. The position lies within the R2-R3 professional category at CTTC. The rank and salary will be determined according to qualifications and work experience. The salary will be in the range between 37.600 and 41.500 euro (gross per year).

We offer high standards working conditions, under a flexible and international environment with access to cutting-edge experimental facilities and excellent professional and personal development possibilities.

The application shall include a full curriculum vitae, including list of publications, a cover letter stating the motivation and suitability of the candidate. They should also provide the names and contact details (email address, etc.) of at least two referees.

These documents should be sent in PDF format through this online application. CVs and any other information gathered during this process will be handled confidentially.

The deadline for applications is January 17th, 2021.

CTTC

Centre Tecnològic de Telecomunicacions de Catalunya (CTTC), in Castelldefels – Barcelona, is a growing and well-funded research institution fostering excellence and diversity. CTTC offers a highly international environment at an exceptionally attractive location.

As a research center in telecommunications technologies CTTC provides a fertile environment for research cooperation and innovation between different disciplines. CTTC seeks to increase the number of women in those areas where they are underrepresented and therefore explicitly encourages women to apply. CTTC is committed to increasing the number of individuals with disabilities in its workforce and therefore encourages applications from such qualified individuals.

Apply now: http://www.cttc.es/apply/?id=12862

The Department of Electrical, Computer, and Biomedical Engineering at Union College invites applications for a Postdoctoral Research Associate position in the area of microgrid modeling, monitoring, and control. This is a two-year position that begins no later than September 1, 2021, with flexibility to start earlier. 

The position investigates the use of real-time measurements to provide online model validation and stability assessment in microgrids. Which measurements are most appropriate? How should these measurements be obtained? What are the signal processing and/or data analytics approaches that should be used? What is the library of models that can be used to assess the proposed methodologies? This position will work closely with Dr. Luke Dosiek on an NSF-funded project that seeks to answer these questions.

A Ph.D. in Electrical Engineering or a closely related field is required. Candidates expecting to complete their doctoral thesis before September 2021 are welcome to apply. The successful candidate will have a strong background in microgrid modeling, monitoring, and control, including hardware-in-the-loop simulation. Candidates with experience in data analytics, system identification, or detection and estimation theory are especially encouraged to apply.

Applicants should submit a cover letter that includes a statement regarding the ability to contribute to a diverse community, an up-to-date CV, a statement of research interests, and names and contact information for three references through our online application available at http://jobs.union.edu. An email will be sent automatically to references requesting a letter of recommendation. Incomplete applications will not be considered.

Job offer: Post-doc in biomedical image analysis

Subject Areas:

Signal Processing Theory and Methods
Machine Learning for Signal Processing
Bio Imaging and Signal Processing
Image Video and Multidimensional Signal Processing

We have an opening for a post-doc in biomedical image analysis. We are searching for highly motivated candidates who are interested in working with us. We develop and integrate deep learning techniques into new algorithms to improve state-of-the-art processing and analysis of biomedical imaging data. This includes image segmentation, classification, filtering, but also image registration.

Our website : http://bia.riken.jp/jobs.php%3Flang=en.html

Job description

The selected candidate will join the interdisciplinary Brain/MINDS project which aims at studying the neural networks controlling higher brain functions in the marmoset, to gain new insights into information processing and diseases of the human brain.
As a member of the project, the selected candidate will contribute to the development and implementation of image processing and image analysis techniques with a focus on (marmoset) brain image data. We are seeking candidates who enjoy developing deep learning algorithms for image segmentation, 3D image registration/reconstruction (stack alignment), or related applications.
The work will be done in a highly interdisciplinary research group consisting of scientists from the neural-scientific and medical research fields. The emphasis is on developing cutting-edge technologies that improve current state-of-the-art and publishing high impact work in top-tier journals in order to build a substantial resume and strong international collaborations.

Experiences in biomedical image analysis is an advantage but not a requirement. This job may be a great opportunity to apply knowledge and expertise from the computer vision and/or image processing field to new problems in the biomedical field.

Location

Wako-City (Kanto district, 2-1 Hirosawa, Wako, Saitama 351-0198). RIKEN is located in very close proximity to the northern part of Tokyo. Map: http://www.riken.jp/en/access/wako-map/.

The RIKEN campus is quite large and offers cafeterias, coffee shops, and a convenient store. From the nearest train station, it is only a 12 min train ride to the Ikebukuro-Station (Tokyo). The Ikebukuro-Station is a hub which connects many famous places in Tokyo, including Shinjuku (9 min train ride), Shibuya (18 min train ride) or Akihabara (19 min train ride). Many people prefer to avoid crowded streets and trains in their daily life and are living in close proximity to RIKEN. However, those who prefer living close to the sightseeing, nightlife and entertainment spots in Tokyo benefit from commuting out of the city in the morning, and returning in the evening (significantly less crowded than the other way around).

Qualifications

The candidate should have or be expecting to receive a Ph.D., by the time of employment, in related fields and have

• relevant research skills and experience in developing deep learning techniques for the analysis/processing of images, demonstrated by high-quality publications.
• expertise in biological/medical/neural image processing, image registration, computer vision, machine learning, optimization, or similar fields, is an advantage.
• good English communication skills
• proficiency in a programming language (such as C++/Python/JS)
• proficiency in tensorflow, pytorch or a similar DL library
• good communication skills and ability to cooperate

Application & Employment

RIKEN employees enjoy the benefit of a generous vacation and leave package. An overview of benefits can be found here: working-at-riken. For application details, please refer to the official job posting URL: https://cbs.riken.jp/en/careers/20200520_w20016_bia_r.html.

We are looking to hire a post-doctoral research fellow with strong background in signal processing and machine learning in a project relating graph signal processing, information processing/fusion and machine learning. 

Job Description

• Develop signal processing and machine learning algorithms and methods, including graph signal processing
• Perform software/hardware implementation and empirical studies
• Prepare reports and presentations
• Conduct project presentations and seminars
• Help to supervise graduate students and contribute to proposal writing
• Assist in various research admin tasks ​

Job Requirement

• Ph.D. in Electrical Engineering, Computer Science, Statistics or other related fields
• Solid mathematical skills
• Background in graph signal processing, probability theory and statistical signal processing
• Experience in implementing algorithms for machine learning and data analytics