Applies to General Signal Processing

Nuance offers an exciting opportunity for a Senior Software Engineer - R&D to develop and improve handwriting recognition systems for the transformative automotive industry.

The position requires strong mathematical skills to research the possible technology improvements in this field. Deep learning and computer vision skills are specifically interesting, especially if applied to pattern recognition.  The position also requires strong programming skills to platform-independently implement the core technology to run efficiently in embedded products and to implement quality assurance programs.

The position is part of an existing small team of R&D engineers with a lot of experience in the field.

In the team you will:

• Research new or improved algorithm for handwriting recognition based on deep-learning technologies.
• Develop databases and data collection methods to add new or improve existing language support of existing or new handwriting recognition engines
• Develop handwriting recognition engines and databases to add support for completely new script
• Implement test programs, run tests, analyze results, file problem reports and investigate and solve issues
• Implement systems to automate training, testing, build, and release processes including big data management and deep learning
• Work in a process of test driven development under agile project management to carry out tasks listed above in close team collaboration
• Work in a large publicly traded multi-national tech company with ditto customers and follow the implied compliance and travel expectations
  Knowledge, Skills and Abilities

You should have:

• PhD or Master of Science with equivalent experience in Applied Mathematics, Engineering, Computer Science or similar
• Strong mathematical and algorithmic background
• Strong understanding of commercial embedded software development
• Proficiency with efficient platform-independent C programming for embedded targets
• Strong ability to solve complex problems
• Self-motivated with great ability to work independently as well as in collaboration with others
• Excellent written and oral communication ability in English

Preferred skills:

• Deep learning and computer vision skills , especially if applied to pattern recognition, and experience with relevant software packages (e.g. TensorFlow)
• Experience with Python, Perl, Make, Matlab and similar script languages 
• Experience with big data management and distributed execution for product training, testing and service
• Experience with platform specific (e.g. Windows) GUI programming 
• Experience with R&D supporting tools for source control (e.g. Git) 

Your responsibilities:

• Conduct research and experiments to solve problems related to Natural Language Processing (NLP).
• Implement prototypes to test new ideas and NLP algorithms.
• Analyze and improve performance of existing NLP algorithms.
• Present findings (written reports or oral presentations, as appropriate).
• Publish papers in renowned conferences and journals.

Your profile:

• Currently enrolled student (Master or PhD) 
• Machine learning with experience in deep learning /neural networks.
• Natural language processing (NLP)
• Strong programming and debugging skills
• Experience running accuracy experiments and systematically improving performance.
• Good communication skills (written and oral).
• Experience in deep learning frameworks e.g. TensorFlow

Preferred Skills: 

• Extensive experience in C++ and a scripting language (e.g. Python)
• Good knowledge of Linux (Unix)

Duration: 3 months

If you are interested in this position, please apply through our career page https://jobs.nuance.com
(Ref.: 1-40738). For any questions regarding this internship opportunity, please send an e-mail to Franziska.Geiser@nuance.com. We look forward to hearing from you!

For more information about our company, please visit our website at http://www.nuance.com.

You will contribute to the next generations of automatic speech recognition (ASR) for automotive applications on embedded platforms and on the cloud. As senior research engineer you will investigate and implement speech recognition algorithms focusing on the integration of the newest deep learning based techniques targetting continuously listening applications. As part of a strong research team, you will be able to contribute key innovations which advance the capabilities of AI and personal assistants in  automotive.

This position can be filled in our offices in Germany (Aachen or Ulm) or Belgium (Merelbeke near Ghent).

Responsibilities:

• You improve, extend, research and implement algorithms for speech recognition.
• You keep yourself up to date on the latest evolution both within Nuance and externally on state-of-the-art ASR technologies for embedded and cloud.
• You use internally developed as well as third party or open source tools to achieve your goals.
• You work with internal teams as well as external partners to research innovative solutions and develop research projects around them.
• You perform tasks necessary to keep the products, tools, and processes that you are responsible for secure.

Qualifications:

Minimum years of work experience: ideally 3

• PhD or Master's degree in engineering, mathematics or physics.
• Knowledge of machine learning algorithms and implementations.
• Good software development skills in C and/or C++, python.
• You are an excellent team player, goal-oriented.
• Fluent in English (oral and written).
• Familiar with Windows and Linux environments.

 Preferred skills:

• Knowledge of speech recognition.
• Knowledge of deep learning, neural networks (NN).
• Experience in machine learning techniques, and good understanding of the mathematical foundations behind them.
• User experience with compute farms and grid software.
• Good knowledge of open source offerings and/or commercial offerings in relevant fields.
• Experience with version control systems.
• Good communication and problem solving skills.
• You speak at least two languages other than your mother tongue.

As a Research Application Scientist you will support us in the R&D in natural language understanding (NLU) for Japanese. You will assist in all aspects of planning, developing and maintaining high-quality NLU systems for customers. The job includes new feature development, accuracy improvement, project maintenance, and language-targeted research for improvements.

The position can be filled in the following office locations: Aachen (Germany) or in Burlington, MA (US)

Responsibilities:

• Contribute to development of the NLU pipeline, especially for Japanese and/or Korean
• Development of new features in NLU
• NLU accuracy improvements
• Responding to QA and customer reported issues
• Accuracy checking of annotations
• Contribute to team effort to improvement of entire NLU system

Qualifications:

• Knowledge of NLP and/or Machine Learning
• Programming skills (especially scripting to support research experiments)
• Native or high proficiency in Japanese 

Preferred Skills:

• Natural Language Understanding
• Machine learning;
• Python, Java

Education: Master’s in Computer Science, Computational Linguistics or related field (or similar work experience)

As a Principal Research Scientist you will do research into all aspects of speech recognition algorithms with the aim of optimizing accuracy. This will include research into algorithms to increase robustness to various acoustic conditions encountered in real-world data, as well as underlying modelling techniques.

This position can be filled in our office in Cambridge, UK.

Responsibilities:

• Provide experimental and theoretical analysis of speech recognition problems.
• Formulate new algorithms, create research tools, and design and implement experiments to verify new algorithms.
• Optimize the accuracy of speech recognition systems on challenging real-world data.
• Work with team members to build and deliver acoustic models for Nuance products.
• Follow developments in speech recognition algorithms to keep our research state-of-the-art.
• Perform tasks related to securing and keeping the products, tools, and processes that you are responsible for securing

Qualifications: 

• Ideally 2-5 years of work experience
• A good understanding of machine learning algorithms including deep learning.
• In-depth understanding of speech recognition algorithms including neural network based acoustic and language modelling.
• Python and shell scripting in a UNIX environment.
• Demonstrated ability to conduct novel research in speech recognition algorithms.
• Good written and oral communications skills.
• Ability to take initiative, but also follow a plan and work well as part of a team.

Preferred Skills:

• Good analytical and diagnostic skills.
• Experience of running large scale experiments in a Sun Grid Engine environment.
• Experience with C/C++.

Education: Ph.D. or Master degree in speech recognition or machine learning

The candidate is expected to contribute to cutting edge research in Artificial Intelligence and Machine Learning applications. The candidate is expected to develop and implement AI and Machine Learning prototypes and solutions for real world problems that are relevant to Nuance and its customers, including user modeling / preference learning, and inference.The candidate is expected to work/collaborate with other members of the group and across Nuance to successfully productize and deploy R&D outcomes.

The position is located in our office in Aachen, Germany. 

Responsibilities:

• The candidate will work with a team of researchers and engineers engaged in state-of-the-art research and development in AI and Conversational Systems.
• The candidate will contribute innovative ideas/solutions to the aforementioned areas, as well as publish within the research community, and work on patents where applicable.
• The candidate will contribute to the software development of technology capabilities and solutions based on artificial intelligence and machine learning techniques and principles.
• The candidate will participate in the testing and integration of these capabilities/solutions in end-to-end systems.
• The candidate will work with other researchers/engineers to transition, productize, and deploy R&D outcomes

Qualifications:

Number of Years of Work Experience: 3+

• Experience in Artificial Intelligence and Machine Learning
• Experience with one or more of the following programming languages: Java, Python, C, or C++.
• Strong software development experience
• Good communication skills in English are essential
• Comfortable working in team settings

Preferred Skills:

• Experience with software development cycles and methodologies
• Experience working with Engineering and Product groups to transition and productize R&D outcomes
• Strong publication record in Artificial Intelligence and Machine Learning as demonstrated by publications in relevant conferences such as AAAI, IJCAI, ICML, etc.
• Ability to contribute to the definition of research agenda and execute on agenda

Education: Master's in Computer Science or equivalent (PhD Preferred) 

The selected candidate will work in the area of seismic data processing applied to the definition of water masses (seismic oceanography - Inversion). It will also act in the evaluation of the data received and in the preparation and realization of the cruises to obtain shallow seismic data in Brazilian waters and data analysis. It is expected to produce technical reports and scientific papers from the research group.

Requirements: Knowledge of signal processing and programming in computer language (eg MATLAB, Phyton or C ++). Knowledge in seismic inversion is desirable.

Send school history, doctoral thesis and Curriculum Vitae until 04/30/2019.

Immediate opening for a postdoctoral researcher in radionavigation and wireless communication systems at the Autonomous Systems Perception, Intelligence, & Navigation Laboratory (https://aspin.ucr.edu); University of California, Irvine (https://uci.edu).

Desired qualifications: (1) Ph.D. in Electrical and Computer Engineering, Aerospace Engineering, or a closely related field; (2) knowledge of wireless communications and/or GNSS; (3) demonstrated hands-on expertise in software-defined radio (SDR) design and implementation; (4) strong programming skills (MATLAB, LabVIEW, and/or C++); (5) publications in relevant top-tier journals and conference proceedings; (6) strong communication, presentation, and documentation skills; and (7) ambition to become a leader in the field (e.g., Professor, Senior R&D Engineer, Managing Technical Director, Program Manager, etc.). To apply, please email me: (1) a complete CV, (2) up-to-date university transcripts, (3) a short statement describing research interests and goals, (4) names and contacts of 3 references, and (5) a link to your website (if available). Position duration: minimum of 1 year, extendable up to 3 years.

https://nato.taleo.net/careersection/2/jobdetail.ftl?job=190339&lang=en#.XKyV6uNspCw.gmail 

Deputy Director-190339

Primary Location

 Italy-La Spezia

NATO Body

 Centre for Maritime Research and Experimentation (CMRE)

Schedule

 Full-time

Euro (EUR) Yearly

Grade A.6

1.    GENERAL JOB DESCRIPTION

1.1       POST IDENTIFICATION

 Primary Location: Italy – La Spezia

NATO Body: Centre for Maritime Research and Experimentation (CMRE)

Schedule: Full-time

Application Deadline: 8 May 2019

Salary (Pay Basis) 10.371,70 (EUR) Monthly

Grade: A6

Clearance Level: Cosmic Top Secret

1.2       POST CONTEXT

The Centre for Maritime Research and Experimentation (CMRE) is an executive body of the Science and Technology Organization (STO) and is governed by the NATO Science and Technology Board (STB) under the provisions of the STO Charter. Within the framework of the STO in-house delivery business model, the CMRE organizes and conducts scientific research and technology development and delivers innovative, field-tested S&T solutions to address the defence and security needs of the Alliance.

The CMRE operates in a challenging international environment, interacting with a broad range of stakeholders from military, political and scientific organizations.

The Deputy Director is the second in authority of the Centre.  All the administrative offices of the Centre report to the Deputy Director including: Security, Health and Safety, Business Support Office, Human Resources, Budget and Finance, Purchasing and Contracting, and General Services. 

1.3       MAIN ACCOUNTABILITIES

The incumbent will perform primarily duties such as the following:  

• Represents the Director as required in his/her absence

• Be responsible for the efficient and safe operation of the CMRE on a day-to-day basis

• Lead the development of the annual Financial Plan.  Develop and forecast multi-year human resources, financial, and investment plans required to position the Centre to reach its business and operational goals

• Lead Strategic Planning for the Centre including an annual five-year strategic plan that will define the expected outlook of Centre involvement and describe how the Centre competency areas, resources, and tools should develop to best support this engagement

• Lead the formulation and monitor the execution of the CMRE’s annual programme of work in coordination with Head Research, Head Engineering and Information Technology, and the Business Support Office

• Identify, resolve, and manage cross-organizational programmatic and resource prioritisation issues while balancing sponsor satisfaction with the delivery of coherent capabilities to NATO and other customers

• Maintain knowledge of technological developments and resource management best practices relevant to the work of the CMRE

• Represent CMRE’s scientific and technological objectives and accomplishments to other S&T agencies, industry, academia, government organizations, the international community, and the general public

• Promote CMRE activities to NATO, S&T, armaments, and operational counterparts of allied nations, Industry and other stakeholders

• Develop and negotiate joint research projects, cooperative and partnership agreements, and manage international collaboration programmes with the Business Support Office

• Provide guidance and advice to the scientific departments on CMRE’s strategic directives and the vision of CMRE’s programme of work

• The incumbent is an agent for change in the CMRE culture, business processes, and procedures

1.4       ADDITIONAL DUTIES

• The incumbent may be required to perform his or her duties onboard Centre vessels and may be called upon to perform like duties elsewhere in the organization.

• Flexibility Clause:  In order for the organization to deal with emergent requirements, the incumbent may be required to perform other related duties as directed (in particular, the incumbent can expect to work as a member of Working Groups, Project Teams, etc. for defined periods of time). 

• Annual TDY Requirement:  The incumbent can expect to go on TDY both within and outside NATO’s boundaries

   

2        QUALIFICATION AND EXPERIENCE

2.1       ESSENTIAL QUALIFICATIONS

• We are looking for a candidate with a PhD degree in scientific, engineering, or information or related technology field and 12 years post-related experience; or a Master (MSc)/MA degree in a related discipline with 15 years post-related experience.

• Experience in leading successful customer-funded organizations.

• Experience in research related to the maritime environment, systems, or operations.

• Senior level management experience of an S&T lab or team that has brought innovation in the maritime/naval domain.

• Management experience in planning, programming, and budgeting at various levels.

• Experience in the leadership and management of a highly qualified workforce and sophisticated technological assets in S&T organizations of recognized national or international standing.

• Practical experience in the conduct of international relations and demonstrated ability to work effectively in an international environment with scientific and/or military personnel at all levels.

• Knowledge of military capability development processes.

• Broad knowledge of military technology.

• Demonstrate strategic and innovative thinking.

• Demonstrate experience in change leadership.

• Practical experience in security matters.

• Knowledge of information management.

• English SLP 4444 (Listening, Speaking, Reading and Writing).

3        DESIRABLE QUALIFICATIONS

•  Advanced training in management or an equivalent cross-functional management experience.

• Experience with accountability to government administrators.

• Leadership in the defence sector.

• Demonstrated record of leading successful organizational transformation.

• Experience of quality management principles (e.g., ISO 9001).

• Knowledge of project management software tools.

• Knowledge of additional languages.

• Experience working with Italian civilian and military organizations and authorities.

4        COMPETENCIES

Competencies required:

• Leadership

• Change Leadership

• Analytical Thinking

• Developing Others

• Customer Service Orientation

• Initiative

• Organizational Awareness

• Empathy

5        INTERRELATIONSHIPS

• The post reports to the Director, CMRE and will direct the work of managers and team members within the Section.

   

  • Direct reports: 7 - 10

     

• The incumbent may often be involved in significant discussions at senior committee level with representatives from NATO nations or other NATO bodies on behalf of the CMRE. Has a regular professional contact typically at senior management level inside and outside the Centre. Develops policy and processes which require explanation, discussion, persuasion and approval of actions.

6          WORK ENVIRONMENT

• The work is normally performed in a typical Office environment.

• The nature of this position may require the staff member at times to be called upon to travel for work and/or to work outside normal office hours.

7        WHAT DO WE OFFER

• A world-class research facility located in the sea port of La Spezia, Italy supported by two specialised research vessels. 

• An exciting place in which to work situated at an ideal location, the port of La Spezia, Italy, enabling synergy with regional and global academic institutes and industry.

• Salary and conditions of employment will be in accordance with the NATO Civilian Personnel Regulations (NCPR), which includes a rewarding salary and a comprehensive system of allowances, supplements and insurances to support families and, in case of expatriated staff, offers an interesting “expatriate” package. 

• A generous annual leave and, (where eligible) home leave.

• The successful candidate will be offered a three years’ definite duration contract, which may be renewed for subsequent periods subject to business needs, satisfactory performance and the need to rotate skills and talent within the Organization.

• Applicants who are not successful in this competition may be offered an appointment to another post of a similar nature, albeit at the same or a lower grade, provided they meet the necessary requirements.

8        RECRUITMENT PROCESS

• Please note that we can only accept applications from nationals of NATO member countries.

• Applications (including an electronic version of the CV, the most relevant publications, the diplomas – stating the highest level of education) for this vacancy are to be submitted using the E-recruitment system.

• Appointment will be subject to receipt of a security clearance (provided by the national Authorities of the selected candidate) and approval of the candidate’s medical file by the CMRE Medical Adviser.

• The deadline for receiving the applications is the 8th of May2019.

• The shortlisted candidates will undergo an Assessment Centre which will take place in Belgium (Brussels). Assessment Centre and final interview will be scheduled in the week of the 8th of July 2019.

9        ADDITIONAL INFORMATION:

• CMRE values diverse backgrounds and perspectives and is committed to recruiting and retaining a diverse and talented workforce. We welcome applications of nationals from all Member States and strongly encourage women to apply.

• Selected candidates are expected to be role models of integrity, and to promote good governance through ongoing efforts in their work.

For any queries, please contact CMRE Recruitment Team at: recruitment@cmre.nato.int  

To learn more about the CMRE and our work, please visit our website: www.cmre.nato.int

Applicants are sought for a postdoctoral position on a project of auditory perception in complex listening environments. The project employs signal processing and computational models as well as experimental techniques (recordings of brain activity) to explore mechanisms underlying auditory scene analysis and their translation into smart audio technologies. 

Johns Hopkins is an outstanding intellectual environment for medical and engineering research. The laboratory is affiliated with the department of Electrical and computer engineering as well as the Center for Speech & language processing and the center for hearing and balance, two world-renown interdisciplinary research centers. 

Applicants should have a doctoral-level degree in neuroscience, physics, engineering or relevant disciplines. Prior experience in operating EEG equipment and electrophysiological data analysis are desirable. Strong computational skills and high motivation are necessary. 

Applications will be considered until the position is filled. Applications (CV + statement of interest + two references) should be sent to Dr. Mounya Elhilali, email: mounya@jhu.edu.