PhD Studentship in When Machine Learning Meets Big Data in Wireless Communications
Recent several decades have witnessed the exponential growth in commercial data services, which lead to step in the so-called big data era. The pervasive increasing data traffic present both the imminent challenges and new opportunities to all aspects of wireless system design, such as efficient wireless caching, drone base station deployment and adaptive nonorthogonal multiple access design. Machine learning, as one of the most promising artificial intelligence tools, has been invoked in many areas both in the academia and industry. Nevertheless, the application of machine learning in wireless communication scenarios is still in its infancy, which motivates to develop this phD project. The aim of this phD project is to use social media data to predict the requirements of mobile users for improving the performance of wireless networks.
All applicants should hold a masters level degree at first /distinction level in Computer Science or Electronic Engineering (or a related discipline). Applicants should have a good knowledge of English and ability to express themselves clearly in both speech and writing. The successful candidate must be strongly motivated for doctoral studies, must have demonstrated the ability to work independently and to perform critical analysis.
Candidates are asked to possess fundamental knowledge and skills in two or more of the following areas:
- Excellent background in communication theory and signal processing algorithms. Good knowledge of emerging 5G and IoT techniques, such as NOMA, wireless caching and mobile computing, UAV, V2X, etc.
- Prior experience/education in both theory and practice of machine learning.
- Hands on experience using one of the following deep learning libraries: Tensorflow, PyTorch, Theano or similar.
- Good coding skills. (Python and C++ are considered a plus).
Continue reading School of Electronic Engineering and Computer Science PhD Studentship, Queen Mary University of London, UK
Three PhD research positions are available immediately, at the Center for Research on Adaptive Nanostructures and Nanodevices (Trinity College Dublin IRELAND) (www.crann.tcd.ie) and at the King Abdullah University of Science and Technology (www.kaust.edu.sa). The positions will be respectively in the “Computational Spintronics Group” (www.spincomp.eu) headed by Prof. Stefano Sanvito at CRANN and in the “electronic structure theory” group (www.kaust.edu.sa/academics/faculty/schwingenshologl.html) headed by Prof. Udo Schwingenschlögl at KAUST.
The successful candidate(s) will participate in the development of density functional theory based quantum transport algorithms. In particular we aim at tackling problems related to large-scale simulations and many body effects and at investigating how the electrostatic environment affects the transport properties of nanodevices in wet conditions. The projects will have a code development component and will involve simulations of devices with potential technological applications.
All the positions are within a CRANN-KAUST collaboration. The successful candidates will be located either at the TCD of the KAUST campus, but frequent exchange and training periods are planned during the duration of the project. A strong overall motivation and a keen interest in theory and computation, as well as in interdisciplinary work between physics, materials science and biology are required. Experience with the UNIX/Linux environment and with programming in either Fortran or C/C++ would be an advantage. Large computational infrastructure will be available to the project both in Ireland (www.tchpc.tcd.ie and www.ichec.ie) and at KAUST. In particular the use of the KAUST Shaheen supercomputer (http://www.kaust.edu.sa/research/labs/supercomputing.html) is planned.
Continue reading PhD Studentships in Advanced Electronic Transport Theory, Ireland & Saudi Arabia
Graduate student positions and postdoctoral research positions are available in the area of medical engineering at the School of Electrical & Electronic Engineering of Nanyang Technological University in Singapore.
Students with research interests at the interface of electrical engineering and biology are especially encouraged to apply.
- modeling of epileptic seizures (from abstract network models to detailed biophysical models);
- neural implants for seizure suppression (from control/game theoretic analysis to hardware design);
- diagnosis of brain disorders, from EEG and other brain signals (Alzheimer’s disease and epilepsy);
- graphical models and nonparametric statistical models for analyzing electrophysiological data (e.g., spike sorting and decoding); and,
- principled statistical models for merging different brain imaging modalities (EEG/MEG/fMRI/DTI/single-unit recordings/etc.).
The research is conducted in collaboration with partners at the RIKEN Brain Science Institute, MIT, and MGH / Harvard.
Continue reading Graduate and Postdoctoral Research in Medical Engineering, School of Electrical & Electronic Engineering, Nanyang Technological University, Singapore
The University of Wollongong’s Institute for Superconducting and Electronic Materials at Faculty of Engineering are seeking two high calibre candidates to undertake PhDs in the area of superconducting coils for saturated core Fault Current Limiters. This research is part of a three-year project funded by the Australian Research Council and supported significantly by Zenergy Power Pty Ltd (who will be actively involved in setting project milestones and guiding project outcomes).
Saturated core superconducting Fault Current Limiters are designed to protect and improve the availability of electricity grids in an energy efficient manner. This project aims to design, build and test next generation superconducting coils (based on MgB2 superconductor) for the fault current limiter application. The complete design of appropriate superconducting coils will necessarily include the design of an associated cryogenic cooling system, and will require significant thermal analysis and simulation work using Finite Element Analysis (FEA) software. The project will also involve close collaboration with Zenergy Power Pty Ltd.
The successful candidates will have bachelor degrees in Mechanical Engineering or related disciplines. Significant experience in Cryogenic Engineering and system integration will also be extremely beneficial in these positions and highly valued during the selection process. Although the simulation and analysis work forms a large part of the project (especially in the first year), the successful candidate will also be expected to design and build data acquisition systems, vacuum control systems, cryo-cooler control systems and integrate these individual components into a complete functioning system.
Continue reading PhD Scholarships in Superconducting Coils for Saturated Core Fault Current Limiters, University of Wollongong, Australia
Fully Funded DSTL-EPSRC PhD Research Studentship
Advanced High Resolution Methods for Radar Imaging and Micro-Doppler Signature Extraction
Department of Electronic and Electrical Engineering
Centre for excellence in Signal and Image Processing (CeSIP)
Principal supervisor: Professor John Soraghan, Department of Electronic and Electrical Engineering
Other supervisors: Dr Ian Glover, Department of Electronic and Electrical Engineering, Dr Des McGhee, Department of Mathematics, University of Strathclyde
A fully funded DSTL-EPSRC peered reviewed 3.5 year PhD research studentship (home fees + stipend up to £17.5k per year) is available from 1st October 2009 to work in the Centre for excellence in Signal and Image Processing (CeSIP), University of Strathclyde.
The increasing interest in bistatic and multistatic radar systems is a result of the potential they offer in sectors such as remote sensing, navigation, automatic target recognition, and related defence and commercial applications. Advantages of multistatic approaches over conventional monostatic systems include (i) the ability to operate in a covert mode (whereby the receiver may be passive with a relatively close stand off distance to the operational region compared to the transmitter), and (ii) increased survivability employing independent receiver manoeuvring with a reduced receiver cost that incorporate inexpensive passive receive only systems.
Continue reading PhD Studentship in Dept of Electronic and Electrical Engineering, University of Starthclyde, Glasgow, Scotland
Liverpool John Moores University
PhD Studentships in Electrical / Electronic Engineering
School of Engineering
Please quote Ref: IRC179
Applications are invited for a number of PhD studentship in the School of Engineering, Liverpool John Moores University. The studentships consist of a tax-free stipend (currently £ 13,290 per annum for the 2009-2010 academic year) and tuition fees.
We are seeking candidates with strong background and interest in the following areas, in which the School has well established research groups and advanced research facilities:
1. VLSI devices (Microelectronics Research Group): The research will be related to quality assessment of nanometre transistors and Flash memory cells, and the evaluation of new materials for future VLSI industry. The research work will be carried out in collaboration with world-leading microelectronic research institutes, such as IMEC. The applicants should have a background in electrical and electronic engineering or physics.
2. Power electronics (Electric Machines and Drives Research Group): The research will be in the area of voltage source inverter topologies and PWM techniques for variable-speed multiphase (more than three phases) motor drives. The applicants should have a background in electrical and electronic engineering, especially in the areas of power electronics, electric machines and variable speed drives, DSPs, and on-line control implementation.
Continue reading PhD Studentships in Electrical / Electronic Engineering, Liverpool John Moores University, UK