Machine Learning for Signal Processing

We are looking for an excellent Senior Research Scientist in the area of Machine Learning and Deep Neural Networks. You will join our core research team in the Automotive department and help us push the state of the art in Natural Language Processing and related fields, such as Emotion Recognition, Question Answering, and Semantic Parsing. You will contribute to the next generation of our in-car voice user interface and virtual assistant.
 

Principal duties and responsibilities:

We are looking for enthusiastic and talented students to join our
growing international research team at Heinrich Heine University
Düsseldorf.

** Apply by 1st June 2019 **

These PhD positions are fully funded by Prof. Milica Gasic' ERC Staring
Grant project DYMO.  They come with a competitive salary (pay grade
EG13) and no teaching duties.

As part of the new project Ecce Aqua one fully funded PhD fellowship is available at the University of Padova (Italy) on imaging and big data analytics applied to marine vertebrates (http://www.dottorato.veterinaria.unipd.it/health-aquatic-animals).

We have 2 PhD Positions open in Distributed Statistical Learning in IoT with Adversarial Environments

Job Description

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

CTTC is seeking to hire an Early Stage Researcher (ESR) to join the WindMill project. The project offers an excellent research and training programme:

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.

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.

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

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".