Multimedia Signal Processing

The Signal Processing research group at the Universität Hamburg (http://uhh.de/inf-sp) is hiring a PhD student or a postdoctoral researcher for 33 months for the project "Crossmodal Processing of Audio-Visual Signals".

Please find further information here:

https://www.inf.uni-hamburg.de/en/inst/ab/sp/job-offer.html

The candidate will work in the Signal Processing group and will do research on modern methods for speech and audio-visual processing. The focus of the group is on developing novel methods for processing speech signals with applications in speech communication devices such as assistive listening, mobile telephony, and voice-controlled assistants. Typically, the performance of these devices drops drastically when interfering noise sources are present. To mend this undesired behavior, noise reduction is applied.
The goal of the successful candidate is to improve noise reduction and source separation systems by incorporating visual information captured by a camera. For this, modern methods from signal processing and machine learning are to be applied. Besides developing new concepts and implementing new algorithms, the typical tasks include experiments to test the methods, writing scientific publications, and traveling to conferences and workshops to present the work. We are interested in a highly motivated person who is interested in working with us on cutting edge research in a pleasant working atmosphere.

 

Postdoctoral Research Grant (BPD) for the R&D Integrated Program “C4 – Centro de Competências em Cloud Computing”

Reference: “C4_MP_D1-b (En)”

We are accepting applications for 1 (one) Postdoctoral Research Grant (BPD) for the R&D Integrated Program “C4 – Centro de Competências em Cloud Computing / C4 – Cloud Computing Competences Centre”, co-financed through the Sistema de Apoio à Investigação Científica e Tecnológica – Programas Integrados de IC&DT, by the Portugal 2020 Program (PT 2020), in the framework of the Regional Operational Program of the Center (CENTRO 2020) and the European Union through the Fundo Europeu de Desenvolvimento Regional (FEDER), taking place at the University of Beira Interior, Covilhã (Portugal), under the following conditions:

Scientific Area: Computer Science

Admission requirements: The candidates should have a PhD degree in Computer Science, or Computer Engineering, or Electrical and Computer Engineering or equivalent. Special relevance will be given to the candidates with experience in Image and video coding and Quality of Experience on Multimedia.

Objectives and Work plan: The work plan includes scientific and technological research tasks carried out in order to design and implement a cloud-based holographic and plenotic coding method, which allows a good performance of the encoder in relation to encoding time, throughput and QoE. Particularly, the selected candidate will participate in the development of the following tasks: (1) Design and implementation of an image/video representation model that allows a good performance of the encoder in relation to encoding time, throughput and QoE; (2) Introduce the concept of QoE for understanding and managing the quality of services in the cloud. Identify emerging technical challenges of moving multimedia services to the cloud, impacting QoE and QoE management. Provide concrete use cases in the field of multimedia services; and (3) Elaboration of scientific reports and articles and dissemination of the results in national and international scientific events.

Legislation and applicable regulations: Statute of the Scientific Research Grant approved by the Law 40/2004, August 18th, in its current wording, as well as the Regulation of Research Grants of the Foundation for Science and Technology IP (FCT) (www.fct.pt/apoios/bolsas/docs/RegulamentoBolsasFCT2018.pdf ).

Workplace and Scientific supervision: The workplace will be the Informatics Department, University of Beira Interior (Covilhã, Portugal), under the scientific guidance of Prof. Manuela Pereira and Prof. António Pinheiro.

Duration: The scholarship will last for 24 months, starting in January 2019. The grant may not exceed the end date of the project approved by the decision (30/11/2020). If this date is extended, the scholarship may be renewed, with the favorable advice of the scientific supervisor, at most until 24 months.

The activity will be under exclusive dedication, according to the Research Grants Regulation of the Foundation for Science and Technology.

Amount of the monthly maintenance allowance: The monthly amount of the grant is €1495 in accordance with the values stipulated by the “Regulations for Advanced Training and Qualification of Human Resources” of FCT (http://www.fct.pt/apoios/bolsas/valores.phtml.en).

The monthly amount shall be rendered payable via bank transfer to an account held by the grantee.
The voluntary social insurance is added to the value of the grant, if the candidate chooses to join it, as well as the personal accident insurance.

Selection criteria: The selection methods to be used will be composed by 2 evaluation phases, according to the following: 1st phase - Curricular evaluation; 2nd phase – Interview, which can be performed via videoconference.
The evaluation in the 1st phase includes the following criteria: Curriculum vitae/Academic evaluation (40%); Suitability of the candidates’ profile to the project based on the relevant work experience in the tasks described in the work plan (50%); Fluency in oral and written English (10%).

The 3 candidates that present the highest scores after the 1st phase will pass to the 2nd phase.
For the final evaluation, each of the evaluation phases have an assessment of 50%.

Composition of the selection jury: Prof. Manuela Pereira (President of the Jury); Prof. António Pinheiro and Prof. Elsa Fonseca (Effective members); Prof. Paulo Fiadeiro (Substitute member).

Form of publication / notification of results: The final results of the evaluation will be publicized through an ordered list, by final grade obtained, posted in a visible and public place of the Informatic Department of the University of Beira Interior (Covilhã, Portugal), and the candidate being approved by electronic mail.

Application deadline and application form: The application to this grant will be opened from 27th February 2019 to 12th March 2019 (24:00 hours). Applications must be formalized by sending an email of application, with the subject “C4_MP_D1-b Application”, accompanied by the following documents in .pdf format (mandatory): Letter of motivation, Curriculum vitae, copy of Certificate(s) of qualification, Citizen Card details (validity, civil identification number, tax identification number) or Passport and other supporting documents considered relevant.

Applications must be sent to mpereira@di.ubi.pt or alternatively to the address: Universidade da Beira Interior
Departamento de Informática
Rua Marquês d'Ávila e Bolama

6201-001 Covilhã, Portugal

We design, create and build outstanding experiences by developing and implementing new algorithms at the intersection of audio, voice, DSP, multimodal interfaces and new technologies.    What You’ll Do •  You will research, design, and prototype future Sonos systems and algorithms. •  You will collaborate with Audio Systems Engineering, EE HW, User Experience and various SW teams. •  You will drive innovation and push the boundaries of what we can achieve with human machine interaction and focus on speech and audio. •  You are confident in the state of the art and expertise in your field and you are ready to bring it to the next level. •  You will enable great user experiences by developing new algorithms.    Skills You’ll Need •  MS or Ph.D. in Electrical Engineering, Computer Science, Physics, Acoustics.  •  3+ years of direct audio systems experience in product development or post graduate experience. •  Strong background in DSP, statistical signal processing and machine learning. •  Good mathematical understanding of audio, physics and signal processing. •  Experience in an applied research or advanced development. •  Developed non-trivial audio systems and/or algorithms. •  Proven track record of delivering innovative solutions (products, patents, publications). •  Proven ability of working effectively in complex interdisciplinary environments. •  Proficient in C, C++, MATLAB, and/or Python.  

At Crestron Electronics, Inc we build the technology that integrates technology.

We are proud to be the largest and most recognized brand in automation and control solutions, and the premier technology partner for fortune 500 businesses globally. Our products’ are integrated into new high-tech commercial buildings’ to include some of the most exciting real estate throughout the world.  Our clients include Google, Microsoft, Amazon, Linked In and many others.  

Our automation and control solutions for homes and buildings allow our clients to control entire environments with the push of a button, integrating systems such as Audio Visual, Lighting, Shading, Security, Building Management Systems and HVAC to provide greater comfort, convenience and security.

Overview:

We continue to experience rapid growth as we invest in resources and create new opportunities, as a result, we have exciting opportunities for a Senior Design Engineer to join our Analog Hardware team in Rockleigh, NJ 07647. As a design engineer for this team , you will work on cutting edge power supply designs using the latest technologies.  You will be part of the team that develops high power audio amplifiers and also create the next generation wireless devices for the Internet of Things.

Responsibilities:

• Develop a product definition, feature set, board level design and verification strategy from a high-level set of requirements.
• Perform detailed analog circuit design and analysis.
• Perform simulations of analog circuits.
• Specify and guide printed circuit board designs.
• Perform the verification and testing of various analog circuits.
• Perform debugging of analog circuits.
• Special projects as assigned.

Qualifications:

• MS in Electrical Engineering or related field + minimum 6 years of relevant experience is required.
• BS in Electrical Engineering or related field + minimum 8 years of relevant experience is required.
• Expert level knowledge of the below skills is required:

• DC/AC signal parameters, compositions, and transforms
• Analog circuit topologies (operational amplifier ( op-amp) , gain block, inverter, differentiator, integrator, filters), feedback loop stability and circuit simulation methods
• ADC and DAC based circuits
• SPICE simulations (e.g. LTSPice, TinaPro, PSpice, etc.)
• Low-noise techniques, grounding strategies, precision designs, and isolation techniques
• Practical knowledge of PCB construction, properties, effect of PCB materials on signal quality

• Excellent circuit troubleshooting techniques with the ability to debug down to the component level is required
• Excellent teamwork and interpersonal skills; ability to work as part of a multi-disciplinary team (HW, FW, and Mechanical design engineers) is required
• Familiarity with various regulatory requirements (UL, CE, FCC) is a plus.
• Familiarity with thermal management techniques for semiconductors is a plus.
• Familiarity with component de-rating for improving reliability is a plus.
   

EOE/M/F/D/V

Benefits

At Crestron Electronics, we offer a competitive total compensation package including medical, Dental, Vision, Life Insurance and Short Term Disability. 401K with company contribution, Paid Vacation, Holidays and more! 

We have new onsite state of the art fitness and wellness centers at our Headquarters in Rockleigh, NJ. 

Must be able to work in the US without sponsorship

 *No Solicitation*

Any agency submittal to any and all employees of Crestron Electronics, Inc. by any method of communication will be deemed, the sole property of Crestron Electronics Inc

Salary: GBP 30,688 to GBP 38,833 per annum
Closing Date: 1 May 2018 (23:00 BST)
https://jobs.surrey.ac.uk/021518

Applications are invited for a Research Fellow in Machine Listening to work full-time on an EPSRC-funded project "Making Sense of Sounds", to start as soon as possible, for 9.75 months until 13 March 2019. This project is investigating how to make sense from sound data, focussing on how to allow people to search, browse and interact with sounds. The candidate will be responsible for investigating and developing machine learning methods for analysis of everyday sounds, leading to new representations to support search, retrieval and interaction with sound.

The successful applicant is expected to have a PhD or equivalent in electronic engineering, computer science or a related subject, and is expected to have significant research experience in audio signal processing and machine learning. Research experience in one or more of the following is desirable: deep learning; blind source separation, blind de-reverberation, sparse and/or non-negative representations, audio feature extraction.

The project is being led by Prof Mark Plumbley in the Centre for Vision Speech and Signal Processing (CVSSP) at the University of Surrey, in collaboration with the Digital World Research Centre (DWRC) at Surrey, and the University of Salford. The postholder will be based in CVSSP and work under the direction of Prof Plumbley and Co-Investigators Dr Wenwu Wang and Dr Philip Jackson. For more about the project see: http://cvssp.org/projects/making_sense_of_sounds/

CVSSP is an International Centre of Excellence for research in Audio-Visual Machine Perception, with 125 researchers, a grant portfolio of £20M. The Centre has state-of-the-art acoustic capture and analysis facilities enabling research into audio source separation, music transcription and spatial audio. Audio-visual compute includes 700 cores and a 50GPU machine learning cluster with 500TB of online storage.

Informal enquires are welcome, to: Prof Mark Plumbley (m.plumbley@surrey.ac.uk), Dr Wenwu Wang (w.wang@surrey.ac.uk), or Dr Philip Jackson (p.jackson@surrey.ac.uk).

For more information and to apply online, please visit:

https://jobs.surrey.ac.uk/021518

We acknowledge, understand and embrace diversity.

Research Fellow sought to work in the Sigmedia Group in the School of Engineering in Trinity College Dublin, Ireland. Ideal candidate will have profile in video processing that complements our work in audio-visual analysis of speech. The researcher will also be responsible for supporting research in multimodal speech analysis in a number of areas including:

• Audio-visual speech recognition

• Paralinguistic analysis of speech, particularly affect and engagement

Position available immediately. Contract until end December 2020. Full advert at:

http://www.adaptcentre.ie/images/uploads/jobs/TCD_postdoc_visual_themeD_150317fin.pdf

Research Fellow sought to work in the Sigmedia Group in the School of Engineering in Trinity College Dublin, Ireland. Ideal candidate will have profile in video processing that complements our work in audio-visual analysis of speech. The researcher will also be responsible for supporting research in multimodal speech analysis in a number of areas including:

• Audio-visual speech recognition

• Paralinguistic analysis of speech, particularly affect and engagement

Position available immediately. Contract until end December 2020. Full advert at:

http://www.adaptcentre.ie/images/uploads/jobs/TCD_postdoc_visual_themeD_150317fin.pdf

Lightfields and Holography Representation

 

A research position for one Bolsa de Pós-Doutoramento (1 BPD) is opened at Instituto de Telecomunicações supported by the Fundação para a Ciência e a Tecnologia in the scope of EmergIMG - Emerging Image Modalities Representation and Compression PTDC/EEI-PRO/2849/2014 - POCI-01-0145-FEDER-16693, financed by the applicable financial framework (FCT/MEC through national funds and when applicable co-funded by FEDER – PT2020 partnership agreement) The grant will be awarded under the following conditions:

 

Scientific area: Computer Science and Engineering

 

Admission requirements: The candidates should hold a PhD degree on Computer Science and Engineering, or Electrical and Computer Engineering, or similar qualifications, with research experience on image coding and lightfields or holographic image.

 

Workplan: Lightfields and Holography Representation.  The EmergIMG project results from a Portuguese consortium that targets to design a common framework for the representation and quality assessment of emerging imaging modalities, including lightfields and holographic imaging. This consortium aims to boost an international impact in terms of research and standardization. This research grant is part of task one of this project. The main goal of this grant is to propose a representation framework for the two imaging modalities (lightfields and holographic). The representation framework designed in this task has to provide efficient compression, backward compatibility, scalability, random access, error resilience, and low complexity.

 

Legislation and regulations applicable: A fellowship will be celebrated according to the regulations defined by FCT “Regulation of Instituto de Telecomunicações’ fellowships” and ”Regulation of Advanced Training and Qualification of Human Resources”, in accordance with Law no. 40/2004, dated August 18 (Status of Scientific Research Fellow), as amended and republished by Decree-Law No.202/2012 of August 27, and as amended by Decree-Law No.233/2012 of October 29 and by Law No.12/2013 of January 29, and Decree-Law No. 89/2013 of July 9, and also by Fundação para Ciência e Tecnologia, I.P. Fellowship Regulation of Fundação para Ciência e Tecnologia, I.P., approved by Regulation no. 234/2012, published in Series II of Diário da República of June 25 of 2012, amended and republished by Regulation no. 326/2013, published in Series II of Diário da República of July 27 of 2013 and amended by Regulation no. 339/2015, published in Series II of Diário da República of June 17 of 2015. http://www.fct.pt/apoios/bolsas/docs/RegulamentoBolsasFCT2015.pdf

 

Place of work: The work will be developed at the Instituto de Telecomunicações, on the Multimedia Signal Processing-Cv  (MSP-Cv) laboratory, University of Beira Interior, Covilhã, and on the Multimedia Signal Processing-Lx  (MSP-Lx) laboratory, Instituto Superior Técnico, Lisboa, Portugal under the supervision of Professora Manuela Pereira and Professor Fernando Pereira.

 

Grant duration: The contract will begin 15th September 2016, or soon thereafter, with a duration of 12 months, eventually renewable in the scope of PTDC/EEI-PRO/2849/2014 - POCI-01-0145-FEDER-16693.

 

Value for monthly allowance: 1495 Eur, according to table values of the scholarships awarded directly by the FCT, in the country (http//www.fct.pt/apoios/bolsas/valores).

The payment will be made by bank transfer.

 

Selection methods: 

• Academic performance (measured on a scale of 1 to 20), weighting 0.4
• Experience in the scientific area (measured on a scale of 1 to 20), weighting 0.6
• It will be made an individual interview, if necessary.

Jury: Prof. Doutor Manuela Pereira, Prof. Doutor Fernando Pereira and Prof. Doutor Paulo Fiadeiro

 

Notification of results: Results will be published at the Department of Computer Science, Faculty of Engineering, Universidade da Beira Interior.  The selected candidate will be notified by email.

 

Documents to submit: 

• Curriculum Vitae with a short description of prior research work
• Document certifying his (or her) qualifications (including a detailed description of the courses).

Applications should be sent by email to Manuela Pereira: mpereira@ubi.pt or to Fernando Pereira fp@lx.it.pt.

Deadline for applications: the application documents shall be sent by email from 10th August to 10th September 2016.

 

Location: Instituto de Telecomunicações, Instituto Superior Técnico, Lisbon, Portugal

Project: In recent years, 3D visual experiences have become quite popular, since it is now well recognized that faithful, transparent and immersive representations of the real world require more than 2D video. Moreover, 3D video representation solutions are evolving, notably by means of stereo video to deliver depth impressions and multi-view video to offer immersive 3D navigation capabilities through a continuum of viewpoints. One of the major concerns for the wide adoption of 3D video over a wide range of terminals and networks is the ability to provide satisfying quality of experience (QoE) levels to the users, in particular when the video is transmitted over networks with limited bandwidth and variable channel conditions; in fact, this may result in artifacts on the transmitted 3D content, with a higher subjective impact on perceived quality than in conventional 2D video streaming. Therefore, the development of accurate methods to assess the 3D video quality is of the highest importance for content and service providers, who need to optimize the video delivery process. The research to be pursued in this grant targets the users QoE optimization in 3D video streaming through wireless networks, by: i) designing an effective, adaptive 3D DASH-based video streaming solution, allowing an efficient delivery of the media content; ii) developing quality prediction models able to capture the impact of perceivable impairments introduced by the different components of the communication system.

Research grant: The research grant is associated to a yearly renewable contract that includes an experimental period of 6 months. The research grant consists of a tax-free stipend of 980€ per month for a PhD position. The candidates must fulfill the following conditions:

• Background on the relevant technical areas. Preference will be given to candidates that better understand video compression/ processing and computer vision fields.
• Strong motivation to perform research and to participate in a rich and stimulating project as well as to advance state-of-the-art through the publication of results in international conferences and peer reviewed journals.
• Fluent in English and with good skills in technical writing and presenting.
• Good programming skills (C/C++, Matlab, etc.) are required. 

The selected candidate will be supervised by Prof. Paula Queluz and by Prof. João Ascenso (see http://www.img.lx.it.pt/Staff.html for details). The candidate will join a team of staff and PhD students where intense research and development activities in the image processing and coding fields are carried out.

To apply for the research grant, the following documents should be sent by e-mail to paula.queluz@lx.it.pt and joao.ascenso@lx.it.pt:

1. Detailed curriculum vitae with transcripts.
2. A motivation letter (research statement) explaining your interest in the position.
3. Recommendation letter(s).

Applications shall be received until a suitable candidate is found but before 31/07/2016. Selected candidates will be interviewed. For any clarifications, please contact Prof. Paula Queluz (paula.queluz@lx.it.pt) or Prof. João Ascenso  (joao.ascenso@lx.it.pt).