Samsung Semiconductor, Inc. in San Diego is searching for systems engineers and computer scientists for algorithm development. Candidate will work as part of a team on the research, system design, and implementation of algorithms for application processors and multimedia processors. Candidate will conduct research for automatic speech recognition and/or natural language processing algorithm development. Candidate is preferred to have goods hands-on experience with machine learning and deep learning algorithm development. Apply at http://www.samsung.com/us/samsungsemiconductor/careers/index.html?p=job…;

JOB RESPONSIBILITIES

•      Understand speech processing, acoustic modelling, language modelling, and speech recognition

•      Understand machine learning concepts and applications and experience with deep learning algorithm development

•      Develop signal processing or machine learning algorithms for automatic speech recognition or language processing.

•      Make simulators and study the system performance.

REQUIRED SKILLS

•      Strong analytical and problem-solving skills

•      Expertise in signal processing, estimation theory, computer science, and/or machine learning

•      Excellent communication and teamwork skills

•      C/C++, Python, and MATLAB coding skills

Education:

•      PhD in Computer Science or Electrical Engineering.

Apply at http://www.samsung.com/us/samsungsemiconductor/careers/index.html?p=job…;

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.

At the University of Trento ( Italy ) we are looking for highly motivated researcher to join 
our research team and work on Natural Language Understanding and Dialog Modeling and Systems.

The Signals and Interactive Systems Lab at University of Trento attracts researchers from
computational linguistics, computer science, electrical engineering to design and train the 
most advanced interactive and conversational systems.

You will join the research team that has been training intelligent machines and evaluating
AI-based systems for more than two decades, collaborating with leading research labs and 
successful startups in the world.

You can check a sample of the projects in the area of Natural Language Understanding, Conversational
Systems and Personal Agents ( and more ) at: 

    http://sisl.disi.unitn.it/demo/ 

The candidates should have strong background, past achievement records in
at least in one of the following areas:

- Natural Language Understanding
- Conversational Modeling and Systems
- Machine Learning

For more info on research and projects visit the lab website
Visit lab website at http://sisl.disi.unitn.it/ 

The official language (research and graduate teaching) of the department is English.

FELLOWSHIP
The research fellowship will depend on experience and in the range of 19367 - 33000 Euros per year.
The position is for one year, renewable.

For more information about cost of living, campus,
please visit the graduate school website at http://ict.unitn.it/

DEADLINES

Immediate openings with start date as early as May 2018. 
Open until filled.

REQUIREMENTS

- PhD degree in Computer Science, Computational Linguistics, Machine Learning or 
similar or affine disciplines.
- Strong academic record (publications in top conferences and journals)
- Strong programming skills 
- Excellent command of oral and written English
- Excellent understanding of experimental design methodology and statistics
- Excellent understanding of natural language processing 
- Excellent understanding of machine learning methods 
- Experience working on research projects
- Excellent team-work skills
- Supervison of students

HOW TO APPLY

Interested applicants should send their
1) CV 
2) At least three reference letters sent to:

Email: sisl-jobs@disi.unitn.it

For more info:

Signals and Interactive Systems Lab: http://sisl.disi.unitn.it/
PhD School                         : http://ict.unitn.it/
Department                         : http://disi.unitn.it/


Information Engineering and Computer Science Department (DISI)

DISI has a strong focus on cross-disciplinarity with professors from different 
faculties of the University (Physical Science, Electrical Engineering, Economics,
Social Science, Cognitive Science, Computer Science) with international 
background. DISI aims at exploiting the complementary experiences present in the 
various research areas in order to develop innovative methods, technologies and
applications.

University of Trento

The University of Trento is consistently ranked as premiere Italian university institution. 
See http://www.unitn.it/en/node/1636/mid/2573

University of Trento is an equal opportunity employer.

Postdoctoral researcher - (computational linguistics or computer science)
Models of Intercomprehension in Speech and Language

The Language Science and Technology department at Saarland University seeks to fill a postdoctoral position. Applications are invited from individuals with research expertise in any field related to speech science and speech technology. Our research project is concerned with the analysis of cross-lingual mutual intelligibility between Slavic languages. It studies the auditory-perceptual intercomprehension of Slavic languages based on analyses of the acoustic, phonetic and phonological structure of spoken utterances.  This line of investigation will be complemented by using adaptation techniques established in speech synthesis and recognition to measure the distance between languages. In addition, similarity will be determined on the level of complete utterances.

The postdoc will join a vibrant community of speech and language researchers at Saarland University whose expertise spans areas such as computational linguistics, psycholinguistics, language and speech technology, speech science, theoretical and corpus linguistics, computer science, and psychology.

Requirements: The successful candidate should have a Ph.D./Master's in Computer Science, Computational Linguistics, or a related discipline, with a strong background in speech science and speech technology, in particular TTS and ASR. Strong programming skills are essential. A good command of English is mandatory. Working knowledge of German is desirable but not a prerequisite.  Candidates must have completed their Ph.D. by the time of the appointment.

The position is a full position (100%) on the German E13 scale and subject to the final approval by the funding agency. Starting dates can be between July and October, 2018. The appointment will be for between one and four years.

About the department: The department of Language Science and Technology is one of the leading  departments in the speech and language area in Europe.  The flagship project at the moment is the CRC on Information Density and Linguistic Encoding. Furthermore, the department is involved in the cluster of excellence Multimodal Computing and Interaction. It also runs a significant number of European and nationally funded projects. In total it has seven faculty and around 50 postdoctoral researchers and PhD students.

How to apply: Please send us

• a letter of motivation,

• your CV,

• your transcripts,

• a list of publications,

• and the names and contact information of at least two references,

as a single PDF or a link to a PDF if the file size is more than 3 MB.

Please apply by April 3rd, 2018.

Contacts: If you are interested in the project, please send an email to Bernd Möbius (moebius@coli.uni-saarland.de) and Dietrich Klakow (dietrich.klakow@lsv.uni-saarland.de).

Aalto University (School of Electrical Engineering, Department of Signal Processing and Acoustics) invites applications for

Post doc position in Speech Processing

The Department of Signal Processing and Acoustics is a part of School of Electrical Engineering. The department consists of four main research areas. The speech communication technology research group (led by Prof. Paavo Alku) works on interdisciplinary topics aiming at describing, explaining and reproducing communication by speech. The main topics of our research are: analysis and parameterization of speech production, statistical parametric speech synthesis, speech quality and intelligibility improvement, robust feature extraction in speech and speaker recognition, and occupational voice care.

We are currently looking for a postdoc to join our research team to work on the team’s research themes. We are particularly interested in candidates with research interest in paralinguistic speech processing, voice conversion or speech synthesis.

Postdoc: 3 years. Starting date: During 2018 (flexible)

In Helsinki you will join the innovative international computational data analysis and ICT community. Among European cities, Helsinki is special in being clean, safe, Scandinavian, and close to nature, in short, having a high standard of living. English is spoken everywhere. See, e.g., http://www.visitfinland.com/

Requirements

The position requires doctoral degree in speech and language technology, computer science, signal processing or other relevant area, skills for doing excellent research in a group, and outstanding research experience in any of the research themes mentioned above. The candidate is expected to perform high-quality research and assist in supervising PhD students.

How to apply

If you are interested in this opportunity, apply by submitting the following documents in English and in electrical form (pdf) by April 15, 2018. Send your application, CV, a transcript of academic records and references directly by email to Professor Paavo Alku. Please insert the subject line “Aalto post-doc recruitment, 2018”.

Additional information

Paavo Alku, paavo.alku@aalto.fi

You may have enjoyed reading about bots, artificial intelligence, machine learning, 

digital assistants, systems that support doctors, teachers, customers and help people.
Then, you would like to consider taking a front row seat and join the research team
that has been training intelligent machines and evaluating AI-based systems 
for more than two decades, collaborating with best research labs in the world and 
experimenting in the real-world.

Here is a sample of the projects ( http://sisl.disi.unitn.it/demo/ ) the Signals 
and Interactive Systems Lab (University of Trento, Italy) has been leading:

• Natural Language Understanding systems for massive amount of human language data: http://www.sensei-conversation.eu
• Amazon Alexa challenge on Conversational Systems: http://sisl.disi.unitn.it/university-of-trento-is-selected-by-amazon-fo…
• Designing AI personal agents for healthcare domain: http://sisl.disi.unitn.it/pha/

We collaborate and interact with international research labs, companies and startups
 from different sectors to create the vision of next-generation AI-based systems.

We are looking for top-candidates for its funded PhD research fellowships. 
Candidates should have background at least in one of the following areas:

• (Bio)Signal Processing
• Speech Processing 
• Natural Language Understanding
• Conversational Systems
• Machine Learning

Candidates will be working on research domains such as Conversational Agents,
 Intelligent Systems, Speech/Text Document Mining and Summarization, 
Human Behavior Understanding, Crowd Computing and AI-based systems for tutoring. 

For more info on research and projects visit the lab website
Visit lab website at http://sisl.disi.unitn.it/ 

The SIS Lab research is driven by an interdisciplinary approach to research, 
attracting researchers from  disciplines such as Digital Signal Processing, 
Speech Processing, Computational Linguistics, Psychology, Neuroscience and 
Machine Learning. 

The  official language ( research and teaching ) of the department is ENGLISH.

FELLOWSHIP

Gross amount of the fellowships ( internship and PhD ) is competitive and approximately 
1.600 Euro/month. 
Students may qualify for reduced campus lodging, transportation and cafeteria 
reduced rates.

For more information about cost of living, campus, graduate education programs, 
please visit the graduate school website at http://ict.unitn.it/

DEADLINES

Immediate openings with start date as early as March 2018.  Open until filled.

REQUIREMENTS

Strict requirement is at least Master level degree in Computer Science, Electrical Engineering, Computational Linguistics or similar or affine disciplines. Students with other background 
(Physics, Applied Math) may apply as well. Background in at least one of the posted research areas is required. All applicants should have good very programming, math skills and used to team work.

HOW TO APPLY

Interested applicants should send their
 1) CV 
 2) Statement of research interest and
 3) three reference letters sent to:

Email: sisl-jobs@disi.unitn.it

For more info:

Signals and Interactive Systems Lab    : http://sisl.disi.unitn.it/

PhD School                         : http://ict.unitn.it/

Department                         : http://disi.unitn.it/

Information Engineering and Computer Science Department (DISI)

DISI has a strong focus on cross-disciplinarity with professors from different 
faculties of the University (Physical Science, Electrical Engineering, Economics,
 Social Science, Cognitive Science, Computer Science) with international 
background. DISI aims at exploiting the complementary experiences present in the 
various research areas in order to develop innovative methods, technologies and
applications.

University of Trento, Italy

The University of Trento is consistently ranked as premiere Italian university institution. 
See http://www.unitn.it/en/node/1636/mid/2573

University of Trento is an equal opportunity employer.

Name :    Multimodal people monitoring using sound (and vision)
Type :    Postdoc
Description :    The Idiap Research Institute together with Swiss Center for Electronics and Microtechnology (CSEM) invite applications for a post-doctoral position in research and development for multimodal people monitoring.
The position is funded for one year by Idiap (with a possible extension depending on his/her performance)

The successful candidate will work with Dr. Petr Motlicek in Idiap's Speech and Audio Processing group, engaged in world-class research in speech processing.
Exceptionally qualified candidate can also be considered for a longer-term Research Associate position.

Detailed description:
We have witnessed a large interest and potential of self-dependent smart sound devices to be deployed for security, surveillance, or emergency applications. Recent developments performed by CSEM in building occupancy detection and monitoring using embedded vision have led to the creation of successful monitoring applications. This project will focus on a combination of the visual and speech information which will take place in an embedded platform providing industrial grade vision sensing together with an acoustic front-end.

CSEM will provide an expertise in embedded platform, visual analysis and data fusion. The Idiap postdoctoral position will mainly focus on the speech related aspects of the project, including speaker identification and keyword spotting, aiming to operate with limited resources.

We envisage three related research threads for this position:
1. Parameter reduction, in which we will apply sparsity and relevance constraints to train neural networks that function using as few parameters as possible.
2. Acoustic modeling sharing between different applications, in which we will build on the commonality between technologies for automatic speech recognition or keyword spotting and speaker recognition to create a single system with multiple capabilities.
3. Far-field speech processing, in which we will process signals recorded by a microphone array to substantially increase SNR of the input signal.

The successful candidate will work at Idiap in Martigny, but in close collaboration with CSEM’s R&D team based in Switzerland.
The project is a unique combination of applied science and academic research expected to yield both reference designs and academic publications.

Profile:
Candidate should have either or both of:
1. A strong background in engineering, mathematics or a related discipline, along with the associated familiarity with modern distributed programming environments and languages such as C++, Python and Perl.
2. An exceptional academic record and a clear aptitude for creative (and independent) research in a related discipline.
In either case, familiarity with speech processing tools such as Kaldi and deep learning toolkits such as Torch will be a distinct advantage. Although a PhD is normally a prerequisite for a post-doctoral position, candidates without a PhD may be considered in exceptional cases.

Timescale:
The position is offered on a one-year basis with the possibility of renewal based on funding and performance.
The starting salary will be 80,000 CHF/year. Starting date could be immediate, but otherwise as soon as possible in 2018.
 

The Analyst will be a part of team who would be a brain behind building a new voice assistance or Artificial intelligence recognition Apps (like Siri/ Cortana/ Google assistance) for one of our world class mobile customer.

We need Bright Fresher’s who would help us to integrate the NLU engine for upgrade, who plan and execute feature upgrade cycles, who apply regression testing on NLU engine and understand the regression failure cases.

Roles and Requirements

·         Knowledge of one or more of the following domains: Natural Language Understanding (NLU) and Natural Language Generation (NLG), Knowledge Base Management

·         Knowledge of developing Question Answering systems and Multi-Domain Goal-Oriented Dialogue systems

·         B.S. degree in Computer Science is nice to have

·         Knowledge of NLP or Machine Learning is nice to have

·         Strong interest in, and knowledge of Artificial Intelligence and its subfields

·         Knowledge of local language (native or C1/C2)

We offer:

·         Contract for 6-12 months

·         Taking part in a project with cutting edge technologies

·         Being a part of a new team

·         Start of project January 2018