Machine Learning for Signal Processing

• Digitization is an important means to preserve the content of materials which are basically vulnerable to physical damages. In particular, paper based (and especially historical) documents account for an invaluable source of information. The goal of this PhD project is to develop machine learning tools for analyzing scans of documents.
• We are looking for a Master in Mathematics, Computer Science or Engineering with expertise or interest in image processing, machine learning and natural language processing in particular. Coding skills are required.

Reykjavík University’s Language and Voice Lab (https://lvl.ru.is) is looking for experts in speech recognition and in speech synthesis. At the LVL you will be joining a research team working on exciting developments in language technology as a part of the Icelandic Language Technology Programme (https://arxiv.org/pdf/2003.09244.pdf).

Job Duties:

Open rank position in machine learning for medical image and signal processing

Post-Doctoral Position in Machine Learning for Human Machine Trust in Teaming

Compensation: 85K per year + Benefits  

Contact for interview (include most recent CV + 3 references contact information) and further information

Shuchin Aeron shuchin@ece.tufts.edu, 

Matthias Scheutz Matthias.Scheutz@tufts.edu 

Job Vacancies: Three Researchers in AI for Sound [We would particularly like to encourage applications from women, disabled and Black, Asian & Minority Ethnic candidates, since these groups are currently underrepresented in our area.] Location: University of Surrey, Guildford, UK Deadline: Friday 17 July 2020 (23:00 GMT) Applications are invited for three new researchers (two Research Fellows and one Research Engineer) to work full-time on an EPSRC-funded Fellowship project "AI for Sound": https://www.surrey.ac.uk/news/fellowship-advance-sound-new-frontiers-usi... * Research Fellow in Machine Learning for Sound https://jobs.surrey.ac.uk/025620 * Research Fellow in Design Research for Sound Sensing https://jobs.surrey.ac.uk/025420 * Research Engineer (Research Fellow) in Sound Sensing https://jobs.surrey.ac.uk/025520

A postdoctoral scholar position with a focus on applications of machine learning in cardiac MRI. Details can be found at:

https://recruit.ap.uci.edu/JPF05862

The SAMPL Lab at the Weizmann Institute of Science offers a postdoctoral position within the project C'MON-QSENS! (Continuously Monitored Quantum Sensors: Smart Tools and Applications) funded by QuantERA EU program in Quantum Technologies. The appointment will be for a two years term, (possibly) renewable for a third year.

The SAMPL Lab at the Weizmann Institute of Science offers a postdoctoral position within the project C'MON-QSENS! (Continuously Monitored Quantum Sensors: Smart Tools and Applications) funded by QuantERA EU program in Quantum Technologies. The appointment will be for a two years term, (possibly) renewable for a third year.

PhD students and Postdocs in the areas of signal processing, machine learning, medical imaging, communications and radar processing:

Host Professor: Yonina Eldar, department of mathematics and computer science, Weizmann Institute

Classification of SAR image data continues to be a big challenge. Major difficulties include the scarcity of available data, and the difficulty of semantically interpreting the SAR backscattered signal. There are no large-scale, SAR-derived image databases for Remote Sensing image analysis and knowledge discovery. Furthermore, while optical image classification has seen a breakthrough with the advent of Deep Learning methods that require Big Data, SAR-based systems have so far not experienced the same progress, likely because not enough data associated training labels is available.