Tenure-track Assistant Professor in Information Engineering

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. The laboratory facilitates the transition from pure theoretical research to the development, design and implementation of prototype systems ( DOA, MIMO, SAR and more.. ) in areas ranging from bio imaging trough communications, laser optics, cognitive radio, radar systems and graph signal processing.

We are looking for thought leaders, M.Sc. & Ph.D. students who can develop new areas and applications in RADAR and remote sensing. The applicant should be very comfortable with Radar hardware design and will lead research activity. The balance of work between theory and hardware will vary on project-basis, and a successful candidate should be proficient in both aspects. 

Required Background:

• Signal and Systems
• Mavlas
• Random Signals

Positions available for outstanding theoretical researchers with demonstrated outstanding publications in IEEE Transactions on Information Theory, IEEE Transactions on Signal Processing and similar quality journals to work on signal processing and communications for IoT, smart grid, related sensor networking problems or some other important problems. Please send resume along with names of three references, a research plan, and sample publications to rblum(at)lehigh(dot)edu.

The research project is concerned with sparse modeling and representation of various forms of signals, including, in particular, acoustical and spectroscopic measurements. The project considers sparse modeling in inter- and cross-disciplinary applications, and may also include topics such as robust beamforming, machine learning, spectral representation of sparse signals, and dictionary learning. The project is of a collaborative nature, and involves cross-disciplinary topics and investigations as a part of the focus.

Further details can be found here: https://lu.mynetworkglobal.com/se/what:job/jobID:149754/type:job/where:4/apply:1

Postdoc in Signal Processing of Medical Imaging

Host Professor: Yonina Eldar

Position Description: The Signal Acquisition Measurement and Processing Lab at the Technion invites applications for a postdoctoral position with focus on Medical imaging. We are looking for thought leaders in the fields of MRI, CT Ultrasound and PET who can develop new areas and applications in Medical imaging systems. Candidate is expected to have a good background in advanced signal processing, image processing, computational mathematics and statistics. The applicant should be very comfortable with physical concepts of at least one medical imaging modality. The balance of work between theory and practice will vary on project-basis, and a successful candidate should be proficient in both aspects. Candidate should have an excellent publication record in leading medical imaging or image processing journals, ability to lead and interface with large teams comprising of theoreticians and hardware engineers is a plus. Excellent written and presentation skills in English are an advantage.

About SAMPL: 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. The laboratory facilitates the transition from pure theoretical research to the development, design and implementation of prototype systems in areas ranging from bioimaging through communications, laser optics, cognitive radio and radar systems. Research projects are available in the areas of phase retrieval, superresolution imaging, radar systems, medical imaging, deep networks, sampling over graphs, blind deconvolution, and communication systems. The group works closely with several major hospitals in Israel.

Contact Details:

For more details please visit Prof. Eldar’s website.

To submit your application, please send an updated CV with a list of publications, 3 letters of recommendation and a cover letter to yonina@ee.technion.ac.il

Postdoc in Radar Signal Processing

Host Professor: Yonina Eldar

Position Description: The Signal Acquisition Measurement and Processing Lab at the Technion invites applications for one postdoctoral position with focus on radar system design and radar signal processing. We are looking for thought leaders in radar who can develop new areas and applications in radar and remote sensing. Candidate is expected to have a good background in advanced signal processing, electromagnetic theory, computational mathematics and statistics. The applicant should be very comfortable with radar hardware design. The balance of work between theory and hardware will vary on project-basis, and a successful candidate should be proficient in both aspects. Candidate should have an excellent publication record in leading radar journals, ability to lead and interface with large teams comprising of theoreticians and hardware engineers is a plus. Excellent written and presentation skills in English are an advantage.

About SAMPL: 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. The laboratory facilitates the transition from pure theoretical research to the development, design and implementation of prototype systems in areas ranging from bio imaging through communications, laser optics, cognitive radio and radar systems. Research projects are available in the areas of phase retrieval, super resolution imaging, radar systems, ultrasound and MRI imaging, sampling over graphs, blind deconvolution, and communication systems.

Contact Details:

For more details please visit Prof. Eldar’s website.

To submit your application, please send an updated CV with a list of publications, 3 letters of recommendation and a cover letter to yonina@ee.technion.ac.il

Postdoc in Signal Processing on Graphs

Host Professor: Yonina Eldar

Position Description: The Signal Acquisition Measurement and Processing Lab at the Technicon welcomes applications for a postdoctoral position with focus on signal processing on graphs. The field of signal processing on graphs is a new field of study, combining traditional signal processing with signals defined over a graph. Applicants are expected to have a good background in graph theory. Excellent written and presentation skills in English are an advantage.

About SAMPL: 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. The laboratory facilitates the transition from pure theoretical research to the development, design and implementation of prototype systems in areas ranging from bio imaging trough communications, laser optics, cognitive radio, radar systems and graph signal processing.

Research projects are available in the areas of phase retrieval, super resolution imaging, radar systems, medical imaging, deep networks, sampling over graphs, blind deconvolution, and communication systems.

Contact Details:

For more details please visit Prof. Eldar’s website.

To submit your application, please send an updated CV with a list of publications, 3 letters of recommendation and a cover letter to yonina@ee.technion.ac.il

Applications are invited for a Research Associate position in the Department of Mathematics at Imperial College London to work in the area of statistical signal processing. The position is funded through the EPSRC Grant EP/P011535/1. The RA will work directly with Dr Edward Cohen and will join a vibrant Statistics Section.

The Project title is Wavelet Coherence for Point Processes. Wavelet coherence is a tool for analysing correlations between a pair of non-stationary random processes in time-frequency space. Its use in analysing time series is widespread. The main aims of this project is to develop the theory of wavelet coherence for point processes, and develop and implement methodology for estimating it.

The Statistics Section of the Department is consistently rated one of the top in the country for research. We have 17 permanent faculty and research expertise in several diverse areas including: Signal Processing, Statistical Theory, Applied Probability, Bayesian Methods and Computation, Machine Learning, Big Data and Astrostatistics. Currently we have over 40 PhD students and RAs in the Section who contribute to a young and dynamic environment. We believe we offer a world class training environment for post-doctoral researchers.

The successful candidate must have a PhD degree in statistics, mathematics, electrical engineering or closely related field, or an equivalent level of professional qualifications and experience.

Essential criteria include a proven track record in publishing papers of a high quality in the subject area and a broad and strong background in statistics. You will have experience in carrying out research of high quality, independently and in a team, this evidenced by publications of high quality. The successful candidate will also show a willingness/ability to work within a team, including fluency in written and spoken English for effective dissemination of results in high quality journals and presenting at conferences.

It is essential to have excellent programming skills and experience in giving talks at internationally recognised conferences and workshops.

The successful candidate will be expected to work effectively, independently and within a team, have the ability to develop and apply new concepts, and have a creative approach to problem-solving. You will also be expected to demonstrate excellent verbal and written communication skills, and be able to write clearly and succinctly for publication.

For additional information please contact Dr Edward Cohen (e.cohen@imperial.ac.uk).

Our preferred method of application is online via our website http://www.imperial.ac.uk/employment (please select "Job Search" then enter the job title or vacancy reference number NS2016222KL into "Keywords"). Please complete and upload an application form as directed, also providing a CV (including list of publications) and a cover letter.

Should you have any queries regarding the application process, please contact Mrs Rusudan Svanidze, Research Operations Manager, Email: r.svanidze@imperial.ac.uk

*Candidates who have not yet been officially awarded their PhD will be appointed as Research Assistant within the salary range £31,740 - £33,370 per annum).

Imperial Managers lead by example.

Closing date: 15 December 2016 (Midnight GMT)

Committed to equality and valuing diversity.  We are also an Athena SWAN Silver Award winner, a Stonewall Diversity Champion a Two Ticks Employer and are working in partnership with GIRES to promote respect for trans people.

Applications are invited for a 2-year postdoctoral researcher position at  Lagrange Laboratory located in Nice (France). This position is available from october 2016.

Successful candidate will work in the signal processing group of Lagrange Laboratory to develop new theory and algorithms for large scale image reconstruction with application to radio astronomy. The group includes André Ferrari,  Prof., Chiara Ferrari, Ast. and David Mary, Prof.

Host institution and place of work

The advertised position is hosted by Observatoire de la Côte d'Azur. Observatoire de la Côte d'Azur is deeply involved in the preparatory work for the incoming and future radio telescopes. The successful candidate will be based at  Lagrange laboratory in the Fizeau building located on the Valrose Campus of the University of Nice Sophia-Antipolis. 

The Valrose Campus is located in the center of Nice.

Project Description

Keywords: inverse problems, radio astronomy, large scale problems, SKA.

MAGELLAN project focuses on data processing for very large interferometers for radioastronomy such as SKA (Square Kilometer Array). It addresses the design of efficient algorithms for image reconstruction. 

The reconstruction algorithms for SKA precursors must face simultaneously the reconstruction of a very wide field of view from hundreds of thousands of complex visibilities, a large variety of sources morphologies as well as an extremely high targeted sensitivity level. The challenging objective of the project is the reconstruction of ``spatio-spectral'' images,  where the spectral dimension critically blows up the size of the inverse problem, with targeted sizes reaching 80 TB for SKA cubes. More informations at magellan.oca.eu.

Applicant profile

Candidates should have a PhD in a relevant discipline (inverse problems, applied mathematics, radio astronomy or a related discipline). 
Strong skills in both algorithm development and analysis for signal/data processing is required.The successful candidate must demonstrate strong self-motivation, excellent written and spoken English communication skills as well as team spirit.

The annual take-home salary is approximately 25,800 €, which includes health insurance and other benefits, corresponding to a gross salary of 48,000 €.

Application

Applications should include a detailed resume and the names and contact details of two referees. Applications and informal enquiries can be sent to Prof. André Ferrari at ferrari@unice.fr.

Review of applications will begin october 1, 2016, and continue until the position is filled.

Postdoctoral Recruitment – Chair Professor Team of Shenzhen University

1. Main Supervisors:

a.      Prof. Lei Huang: Chair Professor, School of Information Engineering, Shen Zhen University.

b.      Prof. Jihong Zhang: Professor, School of Information Engineering, Shen Zhen University.

2. Research Topics:

a.      Array Signal Processing, Radar Signal Processing.

b.      Compressed Sensing, Sparse Signal Processing, Big Data.

c.      Machine Learning, Neural Network.

d.      Key Technologies of 5G Mobile Communication.

3. Job Description:

a)      Requirements:

i.       PhD degree in Electronic Engineering, Computer Science, Mathematical and related majors.

ii.      Strong research and innovation capabilities with a good academic ethics and rigorous scientific attitude.

iii.     Outstanding academic performance: had published more than 1 paper in important academic journals of the corresponding major (for example, IEEE transactions), and has a certain amount of academic influence.

b)      Duration:

A contract of 2 years will be given.

c)      Note: the post-doctor can be supervised jointly at home and abroad according to the post-doctor’s will: the post-doctor can choose to have a one-year academic visit to universities in USA, UK, Hong Kong or Canada during the contract period.

4. Remuneration:

a)      No less than CNY 320,000 per year, including the monthly salary and a fixed allowance of CNY 120,000 per year.

b)      Additional research bonus based on performance(including but not limited to)

i.       Patent application and journal paper publications.

ii.      During the contract period, the post-doctor can apply for postdoctoral fund, national natural science fund and other funds as project leader, and bonus will be given based on successful application.

iii.     The post-doctor can also apply for the ‘excellent post-doctor plan’, once awarded, an extra CNY200,000 will be given.

c)      During the contract period, housing will be provided by Shenzhen University or Shenzhen Government, and the rental is lower than market price.

d)      After the contract:

i.       Excellent post-doctors will be recommended to be an assistant/associate professor in Shenzhen University.

ii.      If the post-doctor still works in Shenzhen after the contract period, he will get a start-up research fund (with the amount of CNY300,000) for sure; furthermore, if the post-doctor meets the standard for Shenzhen backup talent plan and/or the Shenzhen Peacock Plan, he/she will get CNY1,600,000 of housing allowance.

5. How to apply:

Applications are accepted in any time. Please provide your detailed resume via email.

6. Contact information:

Dr. Weize Sun: proton198601@hotmail.com

PhD Studentship in Signal Processing Theory and Methods
 
Programe of Electrical Engineering,  Pontifical Catholic University of Rio de Janeiro (PUC-Rio), Rio de Janeiro, Brazil
 
Applications are invited for a PhD studentship in signal processing techniques. This studentship is funded by the CNPq/CAPES research councils in Brazil. The topic of the project is open in the area of signal processing theory and methods. Potential topics include:
- Adaptive signal processing algorithms
- Distributed signal processing techniques
- Detection and estimation
- Sparsity-aware and compressive sensing algorithm

The application areas are: wireless communications, power systems, wireless sensor networks or radar systems
 
Deadline for application: 25th November 2016
Start date: March 2016
 
The activities will involve the development of system and signal models using linear algebra, simulation tools, development signal processing algorithms and analytical approaches.
 
This is an exciting international opportunity for a candidate with (or expecting) an MEng or an MSc with First Class Honours in Electrical and Electronic Engineering or related areas. Amongst the key technical disciplines are an excellent level of mathematics, development of algorithms and design of sensor array systems. The successful candidate will be based at the PUC-Rio, Rio de Janeiro, Brazil, will visit international partners, and is expected to attend international conferences and collaborate extensively with international experts.
 
The studentship is open to everyone, covers the tuition fees, and gives a stipend of about US$ 1,000 per month for 4 years subject to an annual increase. Additional funding might be available with industrial projects and requires extra 4-6 hours per week. 
 
Applicants should send an up to date CV with photo, a one-page personal statement, full contact details (including email addresses) of 2 referees, transcripts and publications to:
 
Prof. Rodrigo C de Lamare (http://delamare.cetuc.puc-rio.br/) - delamare@cetuc.puc-rio.br