The Faculty of Information Technology and Electrical Engineering, at the Norwegian University of Science and Technology (NTNU) has two (2) PhD Research Fellow vacancies at the Department of Electronic Systems (IES).
Each of the PhD positions is for up to 4 years with 25% work assignments for NTNU IES.
The Faculty of Information Technology and Electrical Engineering, at the Norwegian University of Science and Technology (NTNU) has one Postdoctoral Research vacancy at the Department of Electronic Systems (IES). The postdoctoral position is for two (2) years.
Are you passionate about machine intelligence? Are you excited about deep learning and neural networks? We’re looking for someone to help us craft groundbreaking new features using the latest advances in computer vision, food recognition, and machine learning technology. Attention to detail and a creative tilt are essential to success in this role, and we need someone who appreciates our obsession with beautiful design and implementation.
Help ideate, design, and build new machine intelligence features
The School of Information Security (SIS) at the Korea University is offering a position for a postdoctoral fellow who will work closely with Dr. Jiwon Yoon (http://signal.korea.ac.kr) at the statistical signal processing, machine learning and cybersecurity. Some sample topics include:
Bayesian inference (mainly Monte Carlo methodology, ABC algorithm, MCMC, SMC and extra)
Signal Processing and machine learning over encrypted domain (eg. Fully homomorphic encryption and differential privacy)
Young and research-intensive, Nanyang Technological University (NTU Singapore) is ranked 11th globally. NTU is also placed 1st amongst the world's best young universities and ranked 4th globally for Engineering and Technology.
The Biomedical Imaging & Graphics (BIG) lab at the University of Saskatchewan, Canada, led by Dr. Ian Stavness, is hiring a fully-funded PhD Student or Post-doc in Computer Science / Electrical Engineering / Biomedical Engineering to work on deep learning in speech and neural signal processing. We plan combine powerful computer simulations of vocal tract biomechanics with neural and acoustic signals of speech production captured with state-of-the-art magnetoencephalography (MEG) measurement.
The Lab focuses on sampling, modeling and processing of continuous-time and discrete-time signals and on new design paradigms in which sampling and processing are designed jointly in order to exploit signal properties already in the sampling stage. This approach has the potential to drastically reduce the sampling and processing rates well below the Nyquist rate, typically considered as the ultimate limit for analog to digital conversion.
#ICASSP2018 wasn't the only thing that happened this week - it was also National Volunteer Week! The 2018 SPS Board of Governors works all year long to educate, advance, and serve our members and the greater signal processing community. Thank you to them and to our 1,000+ volunteers for their generosity of time and spirit that make SPS thrive across conference, publications, membership, technical directions, and everything in between! #NVW
That’s a wrap on #ICASSP2018! Did you miss the action? Don’t worry - the high-quality recordings of the plenaries will be available in the SPS Resource Center soon. But for now, we’re already gearing up to see you next year at #ICASSP2019 in Brighton, UK. Thanks for a great week, everyone!