Machine Learning for Signal Processing

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 Speech Technology Group of Toshiba Europe LTD in Cambridge has opening for an ASR researcher. We are looking for candidates with background in signal processing, machine learning, acoustic modelling or expertise in building state-of-the-art systems for ASR.  The candidate should have a PhD in areas of speech technology related to automatic speech recognition, machine learning or a related field (Post-doctoral/industrial experience is beneficial). 

Please check for more details at:  https://careers.toshiba.eu/displayjob.aspx?jobid=132

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

• Digitization is an important means to preserve the content of materials which are basically vulnerable to physical damages. In particular, paper based (and especially historical) documents account for an invaluable source of information. The goal of this PhD project is to develop machine learning tools for analyzing scans of documents.
• We are looking for a Master in Mathematics, Computer Science or Engineering with expertise or interest in image processing, machine learning and natural language processing in particular. Coding skills are required.
• Starting date between 01/11/20 and 01/01/2021.
• Interested candidates should submit a cover letter detailing background and interest in this position, a full C.V. and information about grades during each Bachelor and Master year via email to Ann.Dooms@vub.be by October 15th the latest.

Reykjavík University’s Language and Voice Lab (https://lvl.ru.is) is looking for experts in speech recognition and in speech synthesis. At the LVL you will be joining a research team working on exciting developments in language technology as a part of the Icelandic Language Technology Programme (https://arxiv.org/pdf/2003.09244.pdf).

Job Duties:

• Conduct independent research in the fields of speech processing, machine learning, speech recognition/synthesis and human-computer interaction.
• Work with a team of other experts in carrying out the Speech Recognition/Synthesis part of the Icelandic Language Technology Programme.
• Publish and disseminate research findings in journals and present at conferences.
• Actively take part in scientific and industrial cooperation projects.
• Assist in supervising Bachelor’s/Master’s students.

Skills:

• MSc/PhD degree in engineering, computer science, statistics, mathematics or similar. Good programming skills (e.g. C++ and Python) and knowledge of Linux (necessary).
• Good knowledge of a deep learning library such as PyTorch or TensorFlow (necessary).
• Good knowledge of KALDI (preferable). Background in language technology (preferable).
• Good skills in writing and understanding shell scripts (preferable).

All applications must be accompanied by a good CV with information about previous jobs, education, references etc. It is also optional to attach a cover letter where the applicant can justify the reasons for being the right person for the job.

Applications deadline is October 4th 2020. Applications are only accepted through RU's recruitment system - Link here. All inquiries and applications will be treated as confidential.

Further information about the job is provided by Jón Guðnason Associate Professor, jg@ru.is, and Ester Gústavsdóttir, Director of Human Resources, esterg@ru.is.

The role of Reykjavik University is to create and disseminate knowledge to enhance the competitiveness and quality of life for individuals and society, guided by good ethics, sustainability and responsibility. Education and research at RU are based on strong ties with industry and society. We emphasize interdisciplinary collaboration, international relations and entrepreneurship.

Open rank position in machine learning for medical image and signal processing

Information about the position: This position is focused on research in applications of image and signal processing in the biomedical area, e.g. developing automatic methods to interpret images and signals from medical imaging systems and other biomedical sensor modalities. We aim to develop state-of-the-art meth- ods for medical image and signal processing, based on key enabling techniques from machine learning, estimation, optimization and mathematical modeling. The research will be performed in close collabo- ration with medical researchers from Sahlgrenska Academy at Gothenburg University and other medical institutions within Sweden and from the international scene.

Major responsibilities: The holder of the position will perform research and apply for research grants. The department is responsible for both a bachelor program and a master program in biomedical engineering and the holder of the position will contribute both with teaching and continuous development of the two education programs. Supervision of students on bachelor, master and doctoral level is included.

The department has several ongoing medical research collaborations, for instance, with the Swedish CAr- dioPulmonary bioImage Study (SCAPIS), MedTech West, Stroke Centre West and the Department of Ra- diology at Sahlgrenska Academy, University of Gothenburg. One major responsibility for the candidate is to strengthen these collaborations and to establish new medical research collaborations with researchers at Sahlgrenska Academy and other medical partners. The candidate will supervise and co-supervise doc- toral students in a cross disciplinary research school being established jointly by Chalmers and Sahlgrenska Academy at University of Gothenburg.

Position summary: Full-time permanent employment.

Qualifications: We are looking for a researcher with solid mathematical knowledge capable of performing research at the international forefront. As a candidate you should have experience in recent machine learn- ing methods applied to problems in the field of medicine. Mandatory is a PhD degree in signal processing, image analysis or in a similar subject area with a proven track-record of i) an independent and interna- tionally recognized line of research within the field and ii) good ability to supervise doctoral students iii) ability to teach in the undergraduate and graduate curriculum at the Department of Electrical Engineer- ing https://www.chalmers.se/sv/institutioner/e2/Var-Utbildning/Masterprogram iv) have published in major scientific journals within the field v) have presented your research at main international conferences, such as ICCV, ECCV, CVPR, NIPS, MICCAI, ICASSP and EMBC vi) ability to attract research funding from external funding agencies vii) ability to perform research with collaborators from the medical sciences.

For more information and how to apply see: hhttps://bit.ly/3fgKavv 

Application deadline: August 31, 2020.

Post-Doctoral Position in Machine Learning for Human Machine Trust in Teaming

Compensation: 85K per year + Benefits  

Contact for interview (include most recent CV + 3 references contact information) and further information

Shuchin Aeron shuchin@ece.tufts.edu, 

Matthias Scheutz Matthias.Scheutz@tufts.edu 

Description: Sponsored by AFOSR, a postdoctoral research position is sought in the area of developing machine learning algorithms and methods for estimating cognitive states from a multimodal suite of sensors measuring EEG, ECG, BP, fNIRS, eye-gaze, skin conductance, while performing a simulated or real-world task in conjunction with other workload such as conversation and active communication with a team of human or robots. The project offers a one-of-a-kind opportunity in a multi-disciplinary team setting towards building reliable prediction models for human cognitive states from physiological data, a problem that is central to many human-machine interaction settings. 

A major part of the project will center on the use and development of unsupervised and weakly supervised machine learning methods such as contrastive representation learning, and self-attention models, to leverage abundance of unlabeled data while utilizing a few strongly labeled data points to inform various cognitive states that may be present in the data. These challenges are further exacerbated by the presence of anomalies and missing data. Furthermore, to address the unique challenges that center on dealing with human data, it is anticipated that the project will require exploiting novel theory and methods in the areas of Domain Adaptation, Privacy and Fairness, Distributional Robustness, and Feature Selection. 

For a list of recent papers (2019-2020) related to the project please visit the Google Scholar profiles of 

1. PI Matthias Scheutz  https://scholar.google.com/citations?user=5yT3GScAAAAJ&hl=en and 
2. Co-PI Shuchin Aeron https://scholar.google.com/citations?user=T7TUmRMAAAAJ&hl=en 

The postdoctoral fellow will be advised jointly by PI Matthias Scheutz (CS), and Co-PIs Shuchin Aeron (ECE) and Sergio Fantini (BioEngineering) at Tufts. Additionally, the postdoctoral fellow will be exposed to new initiatives at Tufts, namely Tufts TRIPODS https://tripods.tufts.edu, Tufts Data Intensive Science Center (DISC) https://disc.tufts.eduoffering a well-rounded development for the next phase of the career.  

Eligibility requirements: PhD (CS, ECE, or BioMedical Engineering) in Information Theory or Statistical Signal Processing or Machine Learning or Applied Mathematics with applications to data science. Efficiency in coding with Python, Ability to communicate with the members of an interdisciplinary team and self-manage the project expectations + report and paper writing.

Job Vacancies: Three Researchers in AI for Sound [We would particularly like to encourage applications from women, disabled and Black, Asian & Minority Ethnic candidates, since these groups are currently underrepresented in our area.] Location: University of Surrey, Guildford, UK Deadline: Friday 17 July 2020 (23:00 GMT) Applications are invited for three new researchers (two Research Fellows and one Research Engineer) to work full-time on an EPSRC-funded Fellowship project "AI for Sound": https://www.surrey.ac.uk/news/fellowship-advance-sound-new-frontiers-using-ai * Research Fellow in Machine Learning for Sound https://jobs.surrey.ac.uk/025620 * Research Fellow in Design Research for Sound Sensing https://jobs.surrey.ac.uk/025420 * Research Engineer (Research Fellow) in Sound Sensing https://jobs.surrey.ac.uk/025520

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 idea is to bring "AI for Sound" technology out of the lab, helping to realize its potential to benefit society and the economy. The Research Fellow in Machine Learning for Sound will investigate advanced machine learning methods applied to sound signals. The Research Fellow in Design Research for Sound Sensing will conduct user requirements and evaluation studies to drive the technology research and to ensure successful development and application of the project technology. The Research Engineer will be responsible for designing and building the hardware and software to be developed in the fellowship. The post-holders will be based in the Centre for Vision, Speech and Signal Processing (CVSSP) at the University of Surrey, and work under the direction of PI (EPSRC Fellow) Prof Mark Plumbley.

CVSSP is an International Centre of Excellence for research in Audio-Visual Machine Perception, with 125 researchers, a grant portfolio of £24M (£17.5M EPSRC) from EPSRC, EU, InnovateUK, charity and industry, 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.

For more information about the posts and how to apply, please visit: * https://jobs.surrey.ac.uk/025620 (Research Fellow in Machine Learning for Sound) * https://jobs.surrey.ac.uk/025420 (Research Fellow in Design Research for Sound Sensing) * https://jobs.surrey.ac.uk/025520 (Research Engineer (Research Fellow) in Sound Sensing) Deadline: Friday 17 July 2020 (23:00 GMT). For informal inquiries, please contact Prof Mark Plumbley https://www.surrey.ac.uk/people/mark-plumbley, m.plumbley@surrey.ac.uk

A postdoctoral scholar position with a focus on applications of machine learning in cardiac MRI. Details can be found at:

https://recruit.ap.uci.edu/JPF05862

The SAMPL Lab at the Weizmann Institute of Science offers a postdoctoral position within the project C'MON-QSENS! (Continuously Monitored Quantum Sensors: Smart Tools and Applications) funded by QuantERA EU program in Quantum Technologies. The appointment will be for a two years term, (possibly) renewable for a third year.

The successful candidate will work on theoretical and algorithmic aspects of Quantum Statistical Inference and Quantum Information, with particular focus on schemes that could be relevant for quantum sensors. Solid background on either real-time signal processing techniques, machine learning, quantum stochastic equations, sequential analysis and optimal control are very desirable.

The candidate will work in close collaboration with other members of the C’MON-QSENS! consortium:

  John Calsamiglia Costa (Universitat Autònoma de Barcelona, SP)

• Jan Kołodyński (University of Warsaw, PL)
• Klaus Mølmer (Aarhus University, DK)
• Witlef Wieczorek (Chalmers University of Technology, SE)
• Kasper Jensen (University of Nottingham, UK)

Interested applicants should send a CV along with a short statement of purpose or presentation letter and arrange for two or three letters of recommendation to be sent to yonina.eldar@weizmann.ac.il using "C'MON-postdoc" as subject.

Proposed start of appointment: Immediately.