Audio and Acoustic Signal Processing

In search of digital signal processing engineer to help in patent stage of new product. Must specialize in noise cancellation and /or voice recognition Must be able to develop concept in both hardware and software. Project will start upon finding ideal candidate. 1 week initial timeline with $150 compensation.  In addition, company equity will be offered upon successful completion and selection of your alpha version. Company location is in Dallas, but work will be done remotely.  If you are interested, please email your credentials and any work samples to mervininnovations@gmail.com

The Department of Medical Physics and Acoustics at the University of Oldenburg, Germany, is seeking to fill the position of a

Professor (W2) Speech Technology and Hearing Devices

commencing as soon as possible within the cluster of excellence “Hearing4all”.

The successful candidate should contribute to the already existing research focus areas hearing research, acoustics, speech processing and machine learning. She/He should exhibit links to the topics of the cluster of excellence, e.g., in audiology, auditory physiology, neurosensory science and systems, and modern methods of communication acoustics and signal processing. She/He should be a highly qualified researcher with an international publication record and practical experience in at least one of the following areas:

• Modern methods for speech and audio processing
• Machine learning and automatic speech recognition
• Modelling of machine and human speech recognition
• System technology for assistive listening devices

The successful candidate (m/f) is expected to contribute actively to the cluster of excellence “Hearing4all”, the collaborative research centre Hearing Acoustics as well as to the further structured research programmes within the Centre of Excellence for Hearing Research. In addition, she/he is expected to contribute to the core lecture program of the Department of Medical Physics and Acoustics (lecturing in English is acceptable, but German language skills should be acquired during the first 3-year period) with emphasis on engineering physics, acoustics and links to medicine and neuroscience.

Preconditions for employment are specified in § 25 NHG. To increase the proportion of women in science, equally qualified female candidates will be given preference. Applicants with disabilities will be preferentially considered in case of equal qualification. The position is suitable for part-time employment.

Applications should include the profile sheet (www.uni-oldenburg.de/medizin/unterlagen-zum-herunterladen/, Profilbogen für die Bewerbung auf eine Professur), a letter of interest, curriculum vitae, publication list, list of third-party grants, reprints of the five most important publications, teaching record, teaching concept, concepts of research and copies of credentials and records. Applications should be addressed to the Dean of the School of Medicine and Health Sciences, Carl von Ossietzky University Oldenburg (berufungen-fkvi@uni-oldenburg.de), and handed in by e-mail as one consolidated PDF attachment no later than October 15, 2018. Inquiries may be directed to Prof. Dr. Dr. Birger Kollmeier (birger.kollmeier@uni-oldenburg.de).

Title: Speech research/machine learning internship @Alibaba

Time: Fall2018, Spring2019

Job location: Seattle, WA /  San Francisco, CA / Beijing

Link: https://sites.google.com/site/gangliuresearch/jobs

About You

A willingness to be a better you on a day by day basis.

About Us:

We are Machine Intelligence Technology -Intelligent Speech Interaction-Speech, Alibaba Group (U.S.) Inc. We enable hundreds of millions of commercial and social interactions among our users, between consumers and merchants, and among businesses every day though speech. We are on the top a gold mine of high quality big data with millions of real data samples.

What You’ll Do

Develop and refine algorithms to improve speech system performance under adverse conditions. To be specific, we will assign either of the following project to you according to your background:

1) Speaker recognition: feature & model design, system fusion

2) Emotion Identification: data purification, prediction with limited out-of-domain data, feature & model design

At the end of internship, a conference paper is expected.

Skills You’ll Need

MSc/PhD candidate in Engineering, Computer Science or a related field

Proficiency in audio signal processing and robust acoustic feature engineering is a plus

Experience with speech system performance improvements under adverse condition is a plus

Deep learning (DNN, CNN, LSTM)

Familiarity with C++, Python, Bash shell

Familiarity with Kaldi, DNN toolkits

Solid publication record

Contacts:

Gang Liu

gDOTliu@alibaba-incDOTcom

please use . to replace DOT

（Application is processed on a rolling basis）

There is a 5-year Senior Research Fellow or Postdoctoral Researcher position available in the area of audio signal processing at Audio Research Group (http://arg.cs.tut.fi), Tampere University of Technology.

The job will consist of the following duties:
-Research work that supports the current research areas of ARG related to e.g. audio classification and automatic content analysis, speech processing and analysis, spatial audio, sound source separation, or expands the current research areas of the group.
-Supervision of junior researchers in research projects.
-Assisting the group leader professor Tuomas Virtanen in preparing and coordinating research projects.
-Participation in teaching related to audio signal processing.
The position will be filled for a fixed term period of five years. The commencement date will be September – December 2018 as mutually agreed and can be negotiated.

Details of the position and the online application form are available at www.tut.fi/openpositions
Closing date for applications is 8th September 2018. For more information, please contact professor Tuomas Virtanen (tuomas.virtanen@tut.fi)

•  Design Hearing aids Concept and Structure with appropriate software
•  Perform acoustical measurements and develop Behind The Ear (BTE) & Receiver in Canal (RIC) hearing instruments in an anechoic environment
•  Lead the electronic circuitry design and review PCB and Amplifier design and layouts
•  Responsible for system integration, system stability and ensure great sound quality
•  Close Cross-functional collaboration with audiological development and wireless development
•  Manage design cycle responsibility from conceptualization, verification and qualification to postproduction
•  Take lead in forefront research projects and participate in presentations. 

•  Degree in Electrical/Electronic Engineering or equivalent with 2 years’ experience in the field of electrical engineering (Product Design)
•  Knowledge of audio, acoustic and circuitry design tools
•  Experience in electro-magnetic compatibility (EMC counter measures) 
•  Excellent troubleshooting, analytical and problem-solving skills
•  Good communication skills with cross-cultural working experience, be ready for oversea travel for collaboration projects
•  Able to work independently as well as in a team

Job Description

A Career at HARMAN

We are ONE HARMAN. We are greater than the sum of our divisions or brands. We proudly talk about our many iconic brands and describe how our technologies are transforming the car, the workplace and everywhere in between.  We work hard. We create useful, playful, beautiful things. We strive for excellence and we aim to win as a team. No matter the position, every employee at HARMAN is expected to demonstrate our core competencies:  leadership, change-orientation, collaboration, judgment and a results-driven mindset.  At HARMAN, we expect brilliance.  You can expect a career full of brilliant possibilities. 

Position Summary:

A Senior Engineer provides a wider variety of technical support tasks using a combination of advanced engineering principles and techniques.  They operate with little guidance/supervision as Subject Matter Experts (SME) in their defined area of specialization.\

Job Responsibilities:

• Lead research on advanced technology projects, influencing future generations of products for automotive, consumer, and professional use
• Develop change plan for projects to ensure successful implementation
• Invent, develop, and document highest impact future use scenarios to identify and verify opportunities
• Extend on existing design research by creating systems rapidly with a series of working prototypes
• Drive breakthrough ideas and world-class research into product organizations
• Contribute to the organization’s strong drive to be on the cutting edge of technology through the generation of patentable ideas
• Conduct technology evaluation and assessment of software and hardware tools, component technologies, and systems
• Write and review invention disclosures at a high rate and with ease in order to protect intellectual property, both as main inventor and co-inventor
• Collaborate with a heterogeneous group of end-to-end prototyping and research engineers (hardware & software), interaction and visual designers, software and hardware developers

Basic Qualifications:

• Bachelor’s degree in Electrical, Computer, or Software Engineering or related field and 5 years of experience; alternatively, Master’s Degree in above mentioned fields and at least 1 year experience in research and development
• In addition, having shown high involvement in research, technology development, and cutting edge innovation all throughout the academic curriculum via TAs, RAs, and internships
• Experience working in the Professional or Consumer Audio/Video industry, technology industry, or automotive industry
• Experience with the use of rapid prototyping tools for software and hardware, electronics, and mechanical design for consumer or professional electronics and future device platforms
• Ability to communicate advanced and complex concepts and ideas persuasively and concisely to all levels of the business

Preferred Qualifications:

• BSEE or equivalent education, and 3+ years of experience in embedded software development.
• Strong C, C++ or C# programming and debugging skills.
• Must demonstrate a high level of proficiency with DSP principles and the ability to apply them. (FFT, Z-transform, bilinear transform, etc…)
• Experience in research and development of Audio Digital Signal Processing (DSP) algorithms in Matlab/Simulink. Implementation and optimization of algorithms on real-time DSP hardware.
• Experience in professional audio device industry in creating DSP software for various platforms and integrating with applications on Microsoft, Apple and Android products.
• Real-time embedded systems experience.
• Experience with communications protocols such as TCP/IP, UDP, etc. 
• Good understanding of the purpose and use of version control systems (i.e., Perforce, Atlassian).
• Basic understanding of audio and professional audio systems.

Eligibility Requirements:

• Willingness to travel domestically and internationally 5-10% of the time.
• Willingness to work in an office.
• Any offer of employment is conditioned upon the successful completion of a background investigation and drug screen.

About HARMAN International

HARMAN (harman.com) designs and engineers connected products and solutions for automakers, consumers, and enterprises worldwide, including connected car systems, audio and visual products, enterprise automation solutions; and services supporting the Internet of Things.  With leading brands including AKG®, Harman Kardon®, Infinity®, JBL®, Lexicon®, Mark Levinson® and Revel®, HARMAN is admired by audiophiles, musicians and the entertainment venues where they perform around the world. More than 50 million automobiles on the road today are equipped with HARMAN audio and connected car systems. Our software services power billions of mobile devices and systems that are connected, integrated and secure across all platforms, from work and home to car and mobile. HARMAN has a workforce of approximately 30,000 people across the Americas, Europe, and Asia. In March 2017, HARMAN became a wholly-owned subsidiary of Samsung Electronics Co., Ltd. HARMAN is an Equal Opportunity, Affirmative Action employer. Minorities, women, veterans and individuals with disabilities are encouraged to apply. HARMAN offers a great work environment, brilliant career opportunities, professional training and competitive compensation. Looking for a challenge where your experience is valued? Come see what you can achieve as a leader with HARMAN!

A Ph.D. research position is available in the KU Leuven, Electrical Engineering Department (ESAT), STADIUS Center for Dynamical Systems, Signal Processing and Data Analytics, in the frame of a research project on audio signal processing in ad-hoc wireless transducer array networks. The research activities will be focused on the design and evaluation of distributed digital signal processing (DSP) algorithms for acoustic echo and feedback cancellation, active noise control, and sound field control in ad-hoc wireless transducer array networks.

The research will be carried out in an international team of signal processing researchers at STADIUS. The standard duration of a Ph.D. research project at KU Leuven is 4 years.

Further info: https://www.kuleuven.be/personeel/jobsite/jobs/54677126

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.

Job ID 3022052 Location Palo Alto, California Date posted 02/01/2018

The candidate should have an M.S or Ph.D. degree in EE, CS, Acoustics or related discipline and with expertise in algorithm development. The candidate should also have interest (or experience) in applying machine learning (e.g., Deep Learning) and getting to understand new frameworks such as TensorFlow or Caffe would be useful.  Key skills of the successful candidate include:

• Broad knowledge of speech production and audio perception and processing
• Excellent knowledge and strong working background and experience in acoustics, audio (spatial audio on speakers and headphones, HRTFs etc.) and psychoacoustics
• Experience or strong understanding in designing echo cancellers, de-reverberation, and other voice communication algorithms 
• Experience is designing low complexity speech and audio processing algorithms 
• Experience in setting up and running experiments and performing measurements with hardware (mics, speakers, HATS, audio interfaces, etc.)
• Critical listening skills
• Ability to setup and conduct/coordinate objective and subjective listening tests
• Strong SW development skills; prototyping skills in Matlab, C++, Python
• Working knowledge of audio SW stacks in Windows and Android
• Interest in applying machine learning to audio ; Implementation experience in Deep Learning is desirable
• Knowledge of frameworks such as Caffe & Tensor Flow

The individual would need to be located in Palo Alto. He should also be willing to make domestic and international trips on occasion. HP Labs research scientists are expected to undertake research programs which will advance the state of the art and have a significant business impact for HP.  The ideal candidate will possess a strong publication record at refereed academic conferences and journals, while having the ability to formulate research problems from real-world application, develop solutions and create IP. Strong communication skills are required, to make persuasive presentations to engineering leaders, executives and represent HP at conferences. The ability to drive research results into products is highly valued.

Email (for any info): sunil.bharitkar@hp.com; Apply: https://h30631.www3.hp.com/job/palo-alto/speech-and-audio-research-scientist/3544/6477108

International Audio Laboratories Erlangen is jointly operated by the Faculty of Engineering at Friedrich-Alexander-Universität Erlangen-Nürnberg and the Institute for Integrated Circuits at the Fraunhofer-Gesellschaft. It conducts both fundamental and applied research on novel audio technology. This involves a close and long-term collaboration between both institutions stipulated by contract. Eventually, more than 50 scientists will work in this internationally unique research facility.

The Faculty of Engineering and the Fraunhofer-Gesellschaft invite applications for a

W2 Professorship for Audio Signal Processing

to be filled at the Department of Electrical, Electronics, and Communication Engineering at the earliest possible starting date for a period of five years. The position is a fixed-term professorship.

The professorship entails a leadership function at the Fraunhofer Institute for Integrated Circuits IIS.

For more details see https://www.fau.eu/university/careers-at-fau/professorships/ -> W2 Professorship for Audio Signal Processing