Applies to General Signal Processing

Domain engineers are staff with extensive experience in a field of interest to the SKA radio telescope (https://www.skatelescope.org/). Domain engineers provide engineering analysis as well as providing their technical expertise insupport of the one or more work package managers. They report to the SKA Project Engineer, working as a member of a multidisciplinary team providing engineering support and leadership in their specific discipline at all levels of the project.

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Human Language Technology Researcher

The Computational Medicine Laboratory (CML) at the University of Houston is currently looking to recruit one highly motivated and creative postdoctoral associate with applied mathematics and/or signal processing background to develop mathematical algorithms for biomedical engineering applications. CML mainly focuses on designing control, optimization, estimation, signal processing, and machine learning algorithms for biomedical and neural engineering applications. The ideal candidate has obtained their Ph.D. degree in electrical engineering (or related fields, e.g.

The School of Electrical and Computer Engineering at Cornell University invites applications for tenured/tenure-track faculty positions at Cornell Tech, Cornell University's new campus in New York City. Cornell Tech is a graduate research and education campus focused on creating pioneering leaders and technologies for the digital age. This search includes Cornell faculty positions that are part of the Jacobs Technion-Cornell Institute at Cornell Tech. 

NATO Vacancy 180543 

Scientist, Tracking and Data Fusion

Primary Location: Italy-La Spezia

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

Schedule: Full-time

Salary (Pay Basis): 5,285.21Euro (EUR) Monthly

Grade A.2

Responsibilities:

Development of new optical transmission methods based on nonlinear Fourier transform.

Job Description

A Career at HARMAN

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.