Applies to General Signal Processing

What Your Job Will Be Like

We are seeking a driven and results oriented Electrical Engineer to support existing research efforts to test geophysical instrumentation and perform signal analysis of seismic data. All research is team oriented and directed at increasing national and international monitoring capabilities for underground nuclear explosions. Opportunities exist to conduct research on improving methods for signal analysis of unique seismic datasets and interpret the results and communicate findings through presentations and publications.

The Department of Signal Processing and Acoustics at the Aalto University School of Electrical Engineering invites applications for

ASSISTANT PROFESSOR IN SIGNAL PROCESSING (tenure track)

Detailed call and instructions how to apply at: https://www.aalto.fi/en/open-positions/assistant-professor-in-signal-pro...

The call is in a broad area of signal processing with special emphasis on:

Aalto University is a community of bold thinkers where science and art meet technology and business. We are committed to identifying and solving grand societal challenges and building an innovative future. Aalto has six schools with nearly 11 000 students and a staff of more than 4000, of which 400 are professors. Our main campus is located in Espoo, Finland. Diversity is part of who we are, and we actively work to ensure our community’s diversity and inclusiveness in the future as well. We warmly encourage qualified candidates from all backgrounds to join our community.

The Department of Neurosurgery seeks a talented postdoctoral research associate to study the neurophysiology of sleep in human subjects, within the combined translational research efforts of Aviva Abosch, MD, PhD, Professor and Chair, Department of Neurosurgery, University of Nebraska Medical Center (UNMC), and Stephen Gliske, PhD, Assistant Professor, Department of Neurosurgery, and Co-Director of the MEG Program, UNMC.

Autonomous on-board drone navigation (i.e., without human intervention) in inaccessible environments is a fundamental challenge. The goal in this project is to develop novel machine learning algorithms for autonomous drone navigation in outdoor environments including localization and synchronization for BVLOS (beyond visual line of sight) scenarios and/or GPS-denied environments, by utilizing RF signals from fixed ground stations and/or in collaboration with other drones.

The Department of Mathematics and Data Science of the Vrije Universiteit Brussel is looking for a Tenure Track Professor in Mathematics/Continuous techniques in Data Science with research expertise in mathematical analysis with contributions to data science, more precisely in the combination of knowledge-driven (e.g. using PDE, sparse, geometric or stochastic models) and data-driven approaches for solving inverse problems.

The Department of Mathematics and Data Science of the Vrije Universiteit Brussel is looking for a Tenure Track Professor in Mathematics/Continuous techniques in Data Science with research expertise in mathematical analysis with contributions to data science, more precisely in the combination of knowledge-driven (e.g. using PDE, sparse, geometric or stochastic models) and data-driven approaches for solving inverse problems.

Seenel Imaging is hiring its R&D Engineer or equivalent specialized in Signal Processing and C++ Software

Job applies to the following areas: 
Signal Processing Theory and Methods
Computational Imaging
Bio Imaging and Signal Processing
Design and Implementation of Signal Processing Methods
Digital Signal Processing
Image, Video and Multidimensional Signal Processing

www.seenel-imaging.com

Please apply for this position here.

Overview:

Autonomous Vehicles at the Intersection of Computer Vision, Machine Learning and Human Factors

About the project

Institute for Transport Studies (ITS) is the leading transportation research centre in the UK and one of the Top 10 global leaders in the field. The centre currently has 60+ research staff and PhD students in multi-disciplinary areas of Human Factors, Computer Vision, AI and Machine Learning, Behavior Modeling, Psychology, and Transportation Safety.