Applies to General Signal Processing

Aalto University, Tampere University and University of Vaasa are looking for talented PostDocs and PhD students to work on a joint computer vision project "REPEAT"

The Academy of Finland project "Robust and Efficient Perception for Autonomous Things" (REPEAT) concerns autonomous perceiving and understanding of the environment, as well as image-based localization. The project combines machine learning, computer vision and computer engineering to develop new methods for data-driven 3D visual computing and image based localization, while considering the computational resource limitations of autonomous systems.

More information and instructions for applying can be found on the project website: https://sites.univaasa.fi/repeat/

The project starts on Jan 1, 2020 and the deadline for applications is Nov 15, 2019.

The Department of Bioengineering (BIOE) at the University of Illinois at Urbana-Champaign (UIUC) invites applications for an open rank teaching faculty position in all areas of bioengineering.  We seek highly qualified applicants with a strong commitment to excellence in teaching and the ability to teach at all levels.  This is a 100% non-tenure-track, renewable appointment on an academic year (nine-month) service basis paid over twelve months.

The University of Illinois is an Equal Opportunity, Affirmative Action employer.  Minorities, women, veterans and individuals with disabilities are encouraged to apply. For more information, visit http://go.illinois.edu/EEO.  We have an active and successful dual-career partner placement program and a strong commitment to work-life balance and family-friendly programs for faculty and staff (http://provost.illinois.edu/faculty-affairs/work-life-balance/).

Applicants for this position must have a Ph.D. in bioengineering, medicine, or a related field.  Ideal candidates will have multiple years of experience in teaching core courses in a terminal degree program.  Previous experience in teaching courses in instrumentation and signals and systems in bioengineering is preferred.  Other areas of bioengineering relevant to the mission of the department will also be considered.  Competitive applicants will show the promise of excellence in classroom teaching and will demonstrate strong teaching knowledge.  Successful applicants will join the department’s thriving community of creative, passionate, and innovative teaching faculty who contribute to high-quality instruction, curriculum development, and student mentoring.  Many faculty also engage in outreach and service activities.  Ideal candidates include those who demonstrate evidence of a commitment to diversity, equity, and inclusion through research, teaching, and/or service endeavors.

BIOE at the UIUC is experiencing a period of programmatic growth, anticipating significant increases in course offerings and student numbers in both graduate and undergraduate programs.  With the completion of a new building and the launch of a new engineering-driven College of Medicine on the UIUC campus, the opportunities to influence engineering education are many. 

In order to ensure full consideration, applications must be received by October 21, 2019.  Applicants may be interviewed before the closing date; however, no hiring decision will be made until after that date.  Salary will be commensurate with qualifications.  Preferred starting date is as soon as possible, but is negotiable.  Applications should be submitted by visiting http://jobs.illinois.edu and uploading in one PDF file a cover letter, curriculum vitae, teaching statement, and names and contact information for three references.  Applicants may also submit supporting material relevant to evaluating their teaching abilities.  For inquiry, please email Amy Meharry at amym@illinois.edu.

The University of Illinois conducts criminal background checks on all job candidates upon acceptance of a contingent offer.

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.

Institute of Electronics and Computer Science (EDI) announces the opening of the competition for preliminary selection of postdoctoral applications for submission to the State Education Development Agency (SEDA) under the Activity 1.1.1.2 “Post-doctoral Research Aid” of the Specific Aid Objective 1.1.1 “To increase the research and innovative capacity of scientific institutions of Latvia and the ability to attract external financing, investing in human resources and infrastructure” of the Operational Programme “Growth and Employment”.

The postdoctoral applications must correspond to the main research directions of EDI:
1. Extremely precise event timing for ground and space domains.
2. Signal processing and embedded intelligence.
3. Smart sensors and IoT.
4. Remote sensing and space data processing.
5. Robotics and machine perception.

The deadline for submission is 30 June, 2019.

The postdoctoral researchers intending to participate in the Activity are asked to send (info@edi.lv):
– Curriculum vitae (form by Europass);
– A numbered list of publications;
– The title and the summary of the intended research.

After receiving the required documents, a communication between EDI and the applicant will start on preparing the research application.

More information: +371 67554500; info@edi.lv

The Departments of Biomedical Engineering and Electrical and Computer Engineering at the University of Virginia seek Research Associates to work in the laboratory of Dr. Gustavo Rohde (imagedatascience.com) to perform research on pattern recognition, machine learning, and image and signal analysis with applications to biomedical imaging, cancer detection, mobile and remote sensing, and others. The Research Associate will be expected to design, implement, and test mathematical algorithms for solving problems related to image reconstruction, signal and image classification, and/or bioinformatics.

Candidates must hold a PhD in Biomedical Engineering, Electrical and Computer Engineering, Computer Science, or a closely related discipline by the start date. Candidates must also show evidence of research productivity (e.g. papers, patents, presentations, etc), and have the ability to implement computer algorithms. To apply, visit https://uva.wd1.myworkdayjobs.com/en-US/UVAJobs/job/Charlottesville-VA/Research-Associate_R0006136 . Complete a candidate profile on-line; attach a CV, cover letter, contact information for three references and a statement of Research Interest. The position will remain open until filled.

The University of Virginia is an affirmative action/equal opportunity employer. Women, minorities, veterans and persons with disabilities are encouraged to apply.

As a member of the SpeechOutput team, the candidate will work as a Speech Scientist on prompt creation for Automotive customer projects. Therefore, they need phonetic and computational linguistic skills as background knowledge. These are needed to support, facilitate and validate the results of prompt optimization processes for customer projects. Moreover, such skills are needed to understand the algorithmic and acoustic implications of each specific customization decision.

Furthermore, the candidate will work on optimization of TTS output according to customer requirements. They will design regular expressions for text transformations as well as perform and supervise prompt recordings, prompt tunings and transcription modification to be integrated into a consistent customer delivery of the Speech Output Service.

The position will be located in our office in Aachen, Germany and is a 1 year contract.

Responsibilities:

• Analyze customer requirements and text specifications for TTS speech output
• Prepare, generate and validate prompt project data
• Organize and supervise prompt optimization processes as well as auditive evaluation of generated data
• Train and supervise language experts working on prompt optimization on a phonetic transcription and intonation level
• Create text transformation rules and dictionaries for TTS to satisfy customer requirements
• Interact with developers to improve TTS output
• Give feedback and provide ideas for tools development

Qualifications

Number of Years of Work Experience: No working experience needed, but adequate education at university is a must. Strong candidates with BSc degree and minimum 2 years work experience are also encouraged to apply

Required Skills:

• Background in phonetics, computational linguistics or similar, with affinity to speech technology
• Excellent English language skills (written and spoken)
• Logistics and organizational managing skills

Preferred Skills:

• Skills in German or another European language
• Experience with Text-To-Speech technology
• Experience with tools for speech processing
• Experience with perceptual evaluation tests and statistics
• Experience with regular expressions
• Scripting Skills (Python or Perl)

Education: MSc in phonetics, speech technology, computational linguistics or similar 

The candidate will contribute to the development of user friendly dialog applications that use Natural Language Generation technology. This development happens in close interaction with the main dialog application designer and people from the user experience team on the one side as well as the Text-To-Speech team on the other side to assure that a natural and high quality user experience is obtained. Next to own contributions to the development part of the tasks will also consist of guiding language experts to execute NLG tasks for their own native language making sure the appropriate quality is reached within defined project efforts and timing. Therefore, the suitable candidate has good knowledge of computational linguistics and phonetics as their background. Such are needed to support, facilitate and validate the results of data creation processes for customer projects. Moreover, such skills are needed to understand the algorithmic and acoustic implications of each specific optimization decision.

The position will be located in our office in Aachen, Germany and is a 1 year contract

Responsibilities:

• Contribute to the development of user friendly dialog applications using NLG
• Analyze customer requirements and text specifications for NLG generation and output
• Validate generated NLG data
• Organize and supervise auditive QA conducted by native speakers
• Analyze issues reported by (internal) customers and provide bug fixes
• Interact with developers to improve NLG user experience

Qualifications

Number of Years of Work Experience: No working experience needed, but adequate education at university is a must. Strong candidates with BSc degree and minimum 2 years work experience are also encouraged to apply.

Required Skills:

• Background in computational linguistics, phonetics or similar, with affinity to speech technology and grammar
• Experience in at least one of the following: NLG/NLU/NLP, TTS, VUI or dialog design
• Quick learner with regard to technology and tools
• Excellent English language skills (written and spoken) - any addtional languages are always useful
• Logistics and organizational managing skills

Preferred Skills:

• Skills in one or more other languages
• Experience with regular expressions
• Scripting Skills (Python or Perl)
• Experience with Text-To-Speech technology

Education: MSc degree in applied linguistics, computational linguistics, phonetics or similar. 

Our R&D Language Modelling Group is looking for a Senior Language Modelling Researcher to work with on challenging research problems that have a concrete impact on real-world applications – the work you do will impact real users on a daily basis.

You’ll perform a role mixing both research and development of cutting edge technologies by staying current on state-of-the-art algorithms in related fields; evaluating the usage patterns of customers via big data analysis; building models to improve core ASR accuracy of individual products and contributing to the model building codebase, including our deep learning toolkit.

Principal duties and responsibilities:

• Conduct experiments to assess the quality of language models and study the effect of language modelling variants and ancillary natural language processing technology (such as auto-punctuation) on speech recognition accuracy.
• Identify, optimize, and cluster training data.
• Analyse product usage data to identify areas of possible improvement or enhancement of language modelling process, method, and NLP techniques.
• Implement of improved training recipes and NLP prototypes utilizing primarily Python and/or Perl.
• Discuss and present ideas, progress, and results within the research team.
• Improve language modelling performance in multiple languages.
• Perform tasks related to securing and keeping the products, tools, and processes that you are responsible for securing

Knowledge, skills and qualifications – 

Education: Advanced degree (Master’s or PhD) in computer science, computational linguistics, applied mathematics, or a related field.

Minimum years of work experience: 3+ years

Required skills:

• Background in speech technology, computational linguistics, statistical machine translation and/or natural language processing.
• Extensive knowledge and hands-on experience with statistical language modelling, including estimation methods, smoothing, pruning, efficient representation, interpolation, etc.
• Good software engineering skills, knowledge of scripting languages (e.g. shell scripting, Perl, Python) and experience working under both Linux and Windows.
• Solid written and oral communication skills in English.

Preferred skills:

• Explicit (industry or academic) experience with large vocabulary speech recognition.
• Experience with exponential language models, discriminative training, unsupervised adaptation and training.
• Expertise in one or more of the following areas: machine learning, statistical modelling, information retrieval, deep learning, data mining, linguistics.
• Fluent in a second, non-English language.

Our R&D Language Modelling Group is looking for a Senior Language Modelling Researcher to work with on challenging research problems that have a concrete impact on real-world applications – the work you do will impact real users on a daily basis.

You’ll perform a role mixing both research and development of cutting edge technologies by staying current on state-of-the-art algorithms in related fields; evaluating the usage patterns of customers via big data analysis; building models to improve core ASR accuracy of individual products and contributing to the model building codebase, including our deep learning toolkit.

Principal duties and responsibilities:

• Conduct experiments to assess the quality of language models and study the effect of language modelling variants and ancillary natural language processing technology (such as auto-punctuation) on speech recognition accuracy.
• Identify, optimize, and cluster training data.
• Analyse product usage data to identify areas of possible improvement or enhancement of language modelling process, method, and NLP techniques.
• Implement of improved training recipes and NLP prototypes utilizing primarily Python and/or Perl.
• Discuss and present ideas, progress, and results within the research team.
• Improve language modelling performance in multiple languages.
• Perform tasks related to securing and keeping the products, tools, and processes that you are responsible for securing

Knowledge, skills and qualifications – 

Education: Advanced degree (Master’s or PhD) in computer science, computational linguistics, applied mathematics, or a related field.

Minimum years of work experience: 3+ years

Required skills:

• Background in speech technology, computational linguistics, statistical machine translation and/or natural language processing.
• Extensive knowledge and hands-on experience with statistical language modelling, including estimation methods, smoothing, pruning, efficient representation, interpolation, etc.
• Good software engineering skills, knowledge of scripting languages (e.g. shell scripting, Perl, Python) and experience working under both Linux and Windows.
• Solid written and oral communication skills in English.

Preferred skills:

• Explicit (industry or academic) experience with large vocabulary speech recognition.
• Experience with exponential language models, discriminative training, unsupervised adaptation and training.
• Expertise in one or more of the following areas: machine learning, statistical modelling, information retrieval, deep learning, data mining, linguistics.
• Fluent in a second, non-English language.

Our R&D Language Modelling Group is looking for a Senior Language Modelling Researcher to work with on challenging research problems that have a concrete impact on real-world applications – the work you do will impact real users on a daily basis.

You’ll perform a role mixing both research and development of cutting edge technologies by staying current on state-of-the-art algorithms in related fields; evaluating the usage patterns of customers via big data analysis; building models to improve core ASR accuracy of individual products and contributing to the model building codebase, including our deep learning toolkit.

Principal duties and responsibilities:

• Conduct experiments to assess the quality of language models and study the effect of language modelling variants and ancillary natural language processing technology (such as auto-punctuation) on speech recognition accuracy.
• Identify, optimize, and cluster training data.
• Analyse product usage data to identify areas of possible improvement or enhancement of language modelling process, method, and NLP techniques.
• Implement of improved training recipes and NLP prototypes utilizing primarily Python and/or Perl.
• Discuss and present ideas, progress, and results within the research team.
• Improve language modelling performance in multiple languages.
• Perform tasks related to securing and keeping the products, tools, and processes that you are responsible for securing

Knowledge, skills and qualifications – 

Education: Advanced degree (Master’s or PhD) in computer science, computational linguistics, applied mathematics, or a related field.

Minimum years of work experience: 3+ years

Required skills:

• Background in speech technology, computational linguistics, statistical machine translation and/or natural language processing.
• Extensive knowledge and hands-on experience with statistical language modelling, including estimation methods, smoothing, pruning, efficient representation, interpolation, etc.
• Good software engineering skills, knowledge of scripting languages (e.g. shell scripting, Perl, Python) and experience working under both Linux and Windows.
• Solid written and oral communication skills in English.

Preferred skills:

• Explicit (industry or academic) experience with large vocabulary speech recognition.
• Experience with exponential language models, discriminative training, unsupervised adaptation and training.
• Expertise in one or more of the following areas: machine learning, statistical modelling, information retrieval, deep learning, data mining, linguistics.
• Fluent in a second, non-English language.