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MLSP

Assistant Professor Position in Structured Data Science

Many applications generate large data sets from which information needs to be extracted. The emerging field of structured data science extends signal processing to data science. The opening for an Assistant Professor is intended to further develop this area. Excellently qualified but more senior researchers are also invited to apply.

Assistant Professor (Tenure Track) in AI Methods in Materials Science (W1)

This is a great opportunity for recent postdocs that are AI enthusiasts. Knowledge in the area of material sciences is not mandatory (see the link with the job offer). So, if you are working on AI methods, but have not been working with material sciences yet, but would like to acquaint yourself with the topic, feel encouraged to apply. The deadline has been extended to March 26th. http://www.pse.kit.edu/downloads/stellenangebote/W1-KIMAT-19-03-10-engl.pdf.

 

Postdoc in Machine Learning at USC

There is a postdoctoral scholar opportunity at the University of Southern
California (USC) in a multidisciplinary research area involving
sample/learning complexity in machine learning; optimization theory;
information theory; and graph signal processing. More specifically, we are
looking for a candidate with a strong theoretical foundation in some of these
areas while being motivated to apply the theory to practical datasets using
tools such as deep neural networks. The successful candidate will join a

Postdoc Audio-Visual Signal Processing

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

Research Fellow in Deep Learning for Population Cardiac Analysis

Are you an early-career researcher who enjoys finding innovative solutions to unmet clinical needs and translating deep learning in medical image analysis to the clinic? Do you have a background in medical image computing and experience with working collaboratively with clinicians and clinical image databases? Do you have a passion for developing statistical deep Bayesian methods for medical image analysis? Are you ready to think out-of-the-box, innovate and find solutions to challenging problems?

Machine Learning/Speech research internship @ Seattle

Title:  Machine Learning/Speech research internship  @ Seattle, WA

Time: Summer/Fall 2019

About You

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

About Us:

We enable hundreds of millions of commercial and social interactions among our users, between consumers and merchants, and among businesses every day though speech.

What You’ll Do

Postdoctoral Researcher/Project Researcher positions in speech

Two Postdoctoral Researcher/Project Researcher positions in speech processing

The University of Eastern Finland, UEF, is one of the largest multidisciplinary universities in Finland. We offer education in nearly one hundred major subjects, and are home to approximately 15,500 students and 2,500 members of staff. We operate in Joensuu and Kuopio. In international rankings, we are ranked among the leading universities in the world.

Postdoctoral Fellow positions in Foundations of Data Science

Open ETH-FDS Postdoctoral Fellow positions in Foundations of Data Science

ETH Foundations of Data Science (ETH-FDS) is a new cross-departmental initiative at ETH Zurich, starting on 1 January 2019. Its main focus is research-oriented in the area of foundations of data science, at the intersection between information sciences, machine learning and statistics.
We invite applications for ETH-FDS Postdoctoral Fellow positions in Foundations of Data Science.

Senior Research Engineer, Advanced Development & Machine Learning

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.

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