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December 6-8, 2018
Location: Louisville, KY, USA
Website
When deciding on a career path, you’re likely to have different considerations in mind. You want to have a skillset for which there is a wide demand in growing industries. You also need to be certain your expertise will remain relevant in the technologically uncertain years to come, when AI and automation will change many of our jobs as we know it.
Manuscript Due: February 15, 2019
Publication Date: September 2019
CFP Document
Manuscript Due: October 1, 2018
Publication Date: May 2019
CFP Document
Development of new optical transmission methods based on nonlinear Fourier transform.
Will there be a cure for cancer in our lifetime? Opinions surrounding this question vary, but many people are inclined to think there will be. The unfortunate reality is all types of cancer are fatal if left untreated.
Job Description
A Career at HARMAN
Stanford University announces a postdoctoral fellowship, with initial term of October 1, 2018 to September 30, 2019 with the potential for renewal.
The postdoc would join our project on using NLP, dialogue, and speech processing to improve police-community relations by processing and studying the language from police body-worn cameras.
PHD PROGRAM in TRANSLATIONAL NEUROSCIENCES AND NEUROTECHNOLOGIES
The Center for Translational Neurophysiology of Speech and Communication (CTNSC) @ Italian Institute of Technology (IIT), is looking for highly motivated students to work on:
- Improving performance and biocompatibility of electrode arrays for brain-computer interfaces
- Functional investigation of innovative neural interfaces
To work on advanced methods for automatic speech recognition with the aim towards building transferable multiple domain end to end recognition systems that are adaptive and can learn over long periods of time.
To work on advanced deep learning methods to build robust and high performance methods for speech recognition that can work in the context of many languages and that allow fast building of recognition systems for new languages.
To work on unified methodologies to extract information from speech that allows to infer a variety of speech properties relating to the emotional state. Methods should be robust and the work should keep further speech attributes in mind. The position is funded by the Innovate UK (UKRI) project MAUDIE and by IIKE in collaboration with Emotech Ltd. Salaries are at University of Sheffield grade scales 7.1 - 7.9, and the opening is for 12 months.
To work on robust methods for direct recognition from the raw waveforms - to achieve robustness against environmental effects. Work should focus on telephony, but further multichannel input is of interest. Funding for 3 years, in the context of the Voicebase Centre for Speech and Language Technologies.
Diarisation is the process of recognising who speaks when, with as little prior knowledge as possible. To this day it is implemented as a multi-stage process. Research should focus on integrating what is now typically 4 stages of processing into an end to end . Funded by UKRI for 3.5 years. Funding details to be announced soon.