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Joint postdoc position between Princeton University and the Weizmann Institute at the intersection of communications, signal processing and machine learning. The work will be performed with the groups of Prof. Andrea Goldsmith and Prof. Yonina Eldar. The candidate is expected to work with both teams in collaborative and supportive environments, with the location flexible between the two centers.

This position focuses on detecting and forecasting floods using images and thus automating flood identification without human intervention. With such an approach, it will be possible to use only the cameras without a river height sensor submerged in the river. Applicants must have completed, or are nearing completion, a doctorate in Computer Science or related subjects in the past five years. 

Section: Community & Involvement

SAM TC Related Job Listing Two Postdoctoral Research Fellowships in Statistical Machine Learning and Signal Processing Contact: Professor Pierluigi Salvo Rossi Application Deadline: 30 November 2021

Issue Date: August, 2021

Section: Community & Involvement

Welcome to the Summer 2021 Edition of the Speech and Language Processing Technical Committee (SLTC) Newsletter.   So far 2021 has been a recovery year, although slow, routines are turning back to normal. We have collected several updates for the summer edition covering SLTC election nominations, ongoing SPS award nominations, SPS challenge program, and upcoming conferences & workshops.   ==SLTC Member Nominations==

2 x Professor / Reader of Machine Learning and Artificial Intelligence Department of Computer Science University of Surrey Guildford, UK https://jobs.surrey.ac.uk/037121 

Section: Events

Lecture Date: September 28, 2021 Chapter: Oregon Chapter Chair: Jinsub Kim Topic: Data Fusion Through Matrix and Tensor Decompositions: Overview of Solutions, Challenges, and Prospects

Section: Publications & Resources

Publication: IEEE Signal Processing Magazine

It’s been a while since I last wrote a column for IEEE Signal Processing Magazine. I will try to address here some of the many questions and changes that arose since the beginning of the year. But before I do so, I would like to invite you to watch a short documentary by Ben Proudfoot with the exact title of this column: “She Changed Astronomy Forever. He Won the Nobel Prize for It.”

Section: Publications & Resources

Publication: IEEE Signal Processing Magazine

Smart home technologies, designed to make users happier, healthier, and wealthier, are rapidly becoming a mainstay of everyday life. In most cases, signal processing is essential to the devices' operation and performance. These days, a variety of intelligent automated devices can be found in nearly every home. The trend is accelerating so rapidly that it now appears inevitable that smart technology will soon be integrated into virtually every facet of daily life.

Section: Publications & Resources

Publication: IEEE Signal Processing Magazine

Big data can be a blessing: with very large training data sets it becomes possible to perform complex learning tasks with unprecedented accuracy. Yet, this improved performance comes at the price of enormous computational challenges. Thus, one may wonder: Is it possible to leverage the information content of huge data sets while keeping computational resources under control? 

Section: Publications & Resources

Publication: IEEE Signal Processing Magazine

Formulas for estimating and tracking the (time-dependent) frequency, form factor, and amplitude of harmonic time series are presented in this lecture note; in particular, sine-dominant signals, where the harmonics follow roughly the dominant first harmonic, such as photoplethysmography (PPG) and breathing signals. Special attention is paid to the convergence behavior of the algorithm for stationary signals and the dynamic behavior in case of a transition to another stationary state. The latter issue is considered to be important for assessing the tracking abilities for nonstationary signals.