Applies to General Signal Processing

A Multiple Input Multiple Output MIMO radar makes use of orthogonal transmit waveforms either in time, in frequency or in code, in order to exploit diversity gain (due to the larger number of degrees of freedom than their phase-array counterparts) and obtain more information from a radar scenario or target. Time Domain Multiplexing at transmit is an easy and cost-effective approach to achieve orthogonality but it implies increasing measurement time with the number of transmitter and a potential ambiguity for Doppler-shift estimation.

An alternative for exploiting MIMO diversity gain in the form of enhanced target detection and localization accuracy is to transmit simultaneously waveforms which are orthogonal in code. These waveforms need to be separated at every receiver in order to create virtual channels for each Tx-Rx module pair. However, such orthogonal signals are separable only when they are perfectly aligned. Therefore, total decoupling is not possible when time delays are considered. To achieve a suboptimal solution signals with good-correlation properties can be investigated, i.e., they should maintain orthogonality over a range of time delays big enough for the particular application, which is in general quite challenging.

The successful candidate will be employed for a maximum period of three years full-time equivalent and receives a generous financial package plus an additional mobility and family allowance according to the rules for Early Stage Researchers (ESRs) in an EU Marie Sklodowska-Curie Actions Innovative Training Networks (ITN). A career development plan will be prepared for each fellow in accordance with his/her supervisor and will include training, planned secondments and outreach activities in partner institutions of the network. The ESR fellows are supposed to complete their PhD thesis by the end of the 3rd year of their employment. For more information please visit the Marie Sklodowska-Curie Actions Innovative Training Networks website.

The main goal of this research project is to find optimum phase-coded waveforms for Compressive Sensing MIMO radar and employ sparse reconstruction to estimate unknown target parameters (delay, Doppler, angle). Additionally, other MIMO waveforms will be considered, time domain multiplexing (TDM), frequency domain multiplexing (FDM) and Doppler domain Multiplexing (DDM) for comparison and validation purposes.

YOUR TASKS

• Selection of one or more convenient phase-coded waveforms (e.g. zero correlation zone sequences).
• Assess performance by an ambiguity function based analysis. For comparison purposes frequency hopping codes can be evaluated.
• Design of optimal codes using innovative techniques such as game theory or genetic algorithms.
• Signal processing of coded MIMO radar data via sparse modeling.
• Design of transmit-receive array configuration in combination with the waveform design, eventually considering also adaptive waveform design approaches.
• Identification of advantages and limitations by synthetic and experimental tests.

PROFILE

• MSc degree or equivalent in Applied Mathematics, Electrical/Electronic Engineering, Physics, or Computer Science.
• ESRs must demonstrate that their ability to understand and express themselves in both written and spoken English is sufficiently high for them to derive the full benefit from the network training. Non-native English speakers are required to provide evidence of English language competency. (TOEFL … )
• Fluent in Matlab (preferred), or, alternatively, Python or C.
• Some knowledge and experience in a number of the following topics:
  • MIMO radar
  • Signal processing techniques for radar
  • Compressive Sensing and sparse reconstruction methods
  • Waveform design and optimization algorithms
  • Bayesian filtering and adaptive systems

PLANNED SECONDMENTS

• USI (ZESS), Siegen, Germany, Prof. Dr. O. Loffeld, Prof. Dr. P. Haring Bolivar, 5 months, for the investigation on design of optimum codes, this secondment is intended to exchange knowledge on construction of codes for different sensors and applications
• SU (SPIS), Sabanci, Turkey, Prof. Dr. M. Cetin, 2 months, signal processing of coded MIMO data using CS
• WIS (SAMPL), Israel, Prof. Dr. Y. Eldar, 2 months, performance assessment and signal processing of coded MIMO data using CS

ADDITIONAL INFORMATION

Modern radar systems represent complex sensors with a variety of software-defined degrees of freedom. These systems, however, are not yet capable of self-optimization on the basis of findings derived from measurements.

In the Cognitive Radar department at the Fraunhofer FHR we combine methods of computer science, such as machine learning techniques and artificial intelligence methods, with advanced signal processing and electrical engineering approaches. The aim is to create”smart” sensor systems that are capable of adapting the waveform and the operating parameters to the scene and the mission context in a dynamic manner.

The successful candidate will join a strong and motivated research team with broad experience in MIMO radar, particularly in array design, high-resolution angular estimation, Compressed-Sensing and sparse reconstruction techniques, modulation schemes, Bayesian filtering, and adaptive systems.

More information can be found in the following links:

https://www.fhr.fraunhofer.de/de/geschaeftsfelder/verteidigung/adaptive-wahrnehmung-wegbereiter-fuer-kognitives-radar.html

https://www.fhr.fraunhofer.de/en/businessunits/traffic/Cognitive-automotive-radar.html

If you are interested in the MENELAOS project and this position, please apply online (https://www.menelaos-nt.eu/esr9/).

A full time one-year position as a postdoctoral Fellow is available at the AViReS Lab ( https://avires.dimi.uniud.it ) of the Department of Mathematics, Computer Science and Physics (DMIF), University of Udine.   

The postdoc fellow will work with an interdisciplinary team of experienced researchers in the fields of audio signal processing, computer vision, machine learning, robotics. Primary co-mentors will be Prof. Carlo Drioli and Prof. Gian Luca Foresti. The goals of his research will be to develop specific methods and algorithms allowing to improve the effectiveness of localization and tracking of a moving target through the dynamic reconfiguration of a sensor network, to study the integration possibilities of acoustic and optical sensors with respect to the problem under study, to address application scenarios related to the use of mobile robotic platforms, in particular autonomous aerial drones (UAVs/MAVs) equipped with acoustic and optical sensors.
The research activities will be normally conducted at the AViReS Lab facilities in Udine. However note that, due to the ongoing Covid-19 outbreak, it is possible that for the first few months the activities will have to be conducted remotely.  
Total grant payd by the financer amounts to 19.367,00 Euros.

Application deadline is May 12, 2020 at 02:00 p.m. (Italian time).

Please contact Carlo Drioli (carlo.drioli@uniud.it) or Gian Luca Foresti (gianluca.foresti@uniud.it) for any further questions.

Detailed information and directions to apply can be found at the following links: 

http://web.uniud.it/ateneo/normativa/albo_ufficiale/258-2020/DRN_188_2020_Notice%20of%20competition_.pdf
http://web.uniud.it/ateneo/normativa/albo_ufficiale/258-2020

A question that naturally arises in active sensing systems, such as ToF systems, is how much volume can be sensed with a given power budget, and how this can be extended by means of some more intricate sensing scheme. The main objective of this project is the development of a very-wide-area ToF 3D sensing system which has to be outstandingly efficient regarding the power consumption. To attain such an ambitious goal we propose bringing compressive sensing into the game and using recently proposed adaptive methods for constructing close-to-optimal binary sensing matrices. Such matrices, initially developed at ZESS for use in pulsed ToF, are able to progressively concentrate the sensing power in those regions of the domain where the signals (e.g., sparse targets) live. This way the SNR of the measurements can be effectively improved by synthetically reducing the signal domain or, complementary, increasing the range of the system without increasing the power budget.

The successful candidate will be employed for a maximum period of three years full-time equivalent and receives a generous financial package plus an additional mobility and family allowance according to the rules for Early Stage Researchers (ESRs) in an EU Marie Sklodowska-Curie Actions Innovative Training Networks (ITN). A career development plan will be prepared for each fellow in accordance with his/her supervisor and will include training, planned secondments and outreach activities in partner institutions of the network. The ESR fellows are supposed to complete their PhD thesis by the end of the 3rd year of their employment. For more information please visit the Marie Sklodowska-Curie Actions Innovative Training Networks website.

YOUR TASKS

• Evaluation of the possibilities and main trade-offs of a very-wide-area ToF 3D sensing system.
• The advantages of implementing close-to-optimal binary sensing matrices for acquiring the measurements are to be evaluated. The performance improvement attained by means of adaptive construction methods is to be evaluated. Adaptation is first to be considered in depth domain and then extended to the full 3D space.
• Building upon the previous results, the ESR should select or develop his own tailored sensing strategies.
• For the selected sensing schemes, realistic requirements for the hardware to develop should be defined.
• A final hardware design is to be outlined and constructed, according to the selected sensing scheme and system requirements. The system has to be composed by a high power modular illumination system and a ToF camera able to use custom binary codes as control signals. The latter can be a solution provided either by CiTIUS or pmdtec. The performance of the prototype as 3D imaging system is to be evaluated, both in controlled scenes and real-world scenes, and contrasted to the initial simulation results. Different methods for reconstructing the (sparse) 3D scene are to be considered that exploit the structure in the sensing matrix and side information from adaptation.
• The performance of the prototype as 3D imaging system is to be evaluated, both in controlled scenes and real-world scenes, and contrasted to the initial simulation results. Different methods for reconstructing the (sparse) 3D scene are to be considered that exploit the structure in the sensing matrix and side information from adaptation.

PROFILE

• Master of Science in Electrical Engineering, Electronics Technology, Electrical Engineering Technology, Electrical and Computer Engineering, Physics, Industrial Engineering, Information Technologies or related fields
• Master of Science in Electrical Engineering, Electronics Technology, Electrical Engineering Technology, Electrical and Computer Engineering, Physics, Industrial Engineering, Information Technologies or related fields
• ESRs must demonstrate that their ability to understand and express themselves in both written and spoken English is sufficiently high for them to derive the full benefit from the network training. Non-native English speakers are required to provide evidence of English language competency (TOEFL, …).
• Knowledge and experience on scientific programming languages, e.g., Matlab, Python, C, C++, etc.
• Some basic knowledge on signal processing and Time-of-Flight imaging
• Knowledge on compressive sensing would be an advantage

PLANNED SECONDMENTS

• INSITU, Vigo, Spain, Prof. Dr. P. Arias Sánchez, 4 months, real-world performance evaluation of the prototype. Prospective applications. Testing in INSITU mobile platforms.

ADDITIONAL INFORMATION

Contact and further Information

https://www.uni-siegen.de/zess

WE HAVE AN IMMEDIATE OPENING IN OUR »AUDIO AND MEDIA TECHNOLOGIES« DIVISION OF FRAUNHOFER IIS IN ERLANGEN, GERMANY, FOR A   VIDEO CODING SYSTEM ARCHITECT*

You have a vision about future directions in 2D video coding? You like to design technologies that are ready to conquer the world?

Then join our institute and contribute to the growth of our video activities
As video has a huge contribution on the overall Internet traffic, its efficient representation is of utmost importance. Based on existing video coding specifications such as VVC, you will be responsible to identify algorithmic and architectural potentials for improvement. For maximum impact, you will identify synergies with our existing technologies in audio coding and 6 DoF imaging. In collaboration with a team, you will then implement and evaluate promising coding approaches. Optionally, you also take over the lead of this team. Finally, you will present the found solutions within standardization bodies and on scientific conferences.

About us
The Fraunhofer IIS »Audio and Media Technologies« division has been making its mark on media digitalization for over 30 years, developing pioneering standards such as MP3, AAC, xHE‑AAC and EVS. Motivated by this success, we aim to transfer this know-how to solve new challenges in video coding for better user experiences and higher system efficiency.

What we expect from you

• A scientific degree (Master, PHD or equivalent) in Electronics, Computer Science, Natural Science, Engineering Science, or a related subject
• Solid practical experience in designing video coding algorithms
• Sound command of English for working in an international team

What you can expect from us

We offer you varied and challenging work in an enthusiastic team. You can contribute with your ideas and help design new concepts. Regular training is given, as are flexible, family-friendly work arrangements such as part-time contracts. You will have a state-of-the-art workstation in a modern, bright 2- to 3-person office. Remuneration according to the guidelines for the allocation of Fraunhofer-Gesellschaft stipends.
In case of identical qualifications preference will be given to severely disabled candidates.
We would like to point out that the chosen job title also includes the third gender.
The Fraunhofer-Gesellschaft emphasises gender-independent professional equality.

Fraunhofer is Europe’s largest application-oriented research organization. Our research efforts are geared entirely to people’s needs: health, security, communication, energy and the environment. As a result, the work undertaken by our researchers and developers has a significant impact on people’s lives. We are creative. We shape technology. We design products. We improve methods and techniques. We open up new vistas.

Intimidating? Don’t worry. We are an interdisciplinary team, looking to support young career-oriented talents. Hence, do not hesitate to join the home of MP3 and send us your application (English or German)!

Please submit it (cover letter, CV and grade sheets) to Claudia Kestler-Böhm, via our career portal, quoting the reference number IIS-2020-38.

https://recruiting.fraunhofer.de/Vacancies/51442/Description/2

http://www.iis.fraunhofer.de

 

WE HAVE AN IMMEDIATE OPENING IN OUR »AUDIO AND MEDIA TECHNOLOGIES« DIVISION OF FRAUNHOFER IIS IN ERLANGEN, GERMANY, FOR A

VIDEO CODING APPLICATION ENGINEER & PRODUCT MANAGER*

Your passion is to bring innovative technologies into the market? You like communicating to potential customers, identifying their needs and proposing them suitable solutions?

Then join our institute and contribute to the growth of our video activities
Our mission is to invent novel technologies for 2D and 6DoF video coding that have a huge impact for our customers. To this end, you are responsible to identify the needs of customers and markets. You will establish a network to industry representatives and maintain a continuous communication to identify their needs. Thanks to your technical background, you are able to propose them tailored solutions in cooperation with a team of scientists. By attending events and observing markets, you identify high potential business opportunities to which our video coding developments should be focused.

About us
The Fraunhofer IIS »Audio and Media Technologies« division has been making its mark on media digitalization for over 30 years, developing pioneering standards such as MP3, AAC, xHE‑AAC and EVS. Motivated by this success, we aim to transfer this know-how to solve new challenges in video coding for better user experiences and higher system efficiency.

What we expect from you

• A scientific degree (Master, PHD or equivalent) in Electronics, Computer Science, Natural Science, Engineering Science, or a related subject
• Enthusiasm for business development and for serving customer needs
• Passionate team player
• Solid know-how in video coding
• Sound command of English for working in an international team

What you can expect from us

We offer you varied and challenging work in an enthusiastic team. You can contribute with your ideas and help design new concepts. Regular training is given, as are flexible, family-friendly work arrangements such as part-time contracts. You will have a state-of-the-art workstation in a modern, bright 2- to 3-person office.

Remuneration according to the guidelines for the allocation of Fraunhofer-Gesellschaft stipends.
In case of identical qualifications preference will be given to severely disabled candidates.
We would like to point out that the chosen job title also includes the third gender.
The Fraunhofer-Gesellschaft emphasises gender-independent professional equality.

Fraunhofer is Europe’s largest application-oriented research organization. Our research efforts are geared entirely to people’s needs: health, security, communication, energy and the environment. As a result, the work undertaken by our researchers and developers has a significant impact on people’s lives. We are creative. We shape technology. We design products. We improve methods and techniques. We open up new vistas.

Intimidating? Don’t worry. We are an interdisciplinary team, looking to support young career-oriented talents. Hence, do not hesitate to join the home of MP3 and send us your application (English or German)!

Please submit it (cover letter, CV and grade sheets) to Claudia Kestler-Böhm, via our career portal, quoting the reference number IIS-2020-37. 

https://recruiting.fraunhofer.de/Recruiting/Vacancies/51440/Publication/2/DescriptionPreview?lang=eng  

The Quantum Information and Inference group led by Jan Kolodynski at the Centre of New Technologies (CeNT) of the University of Warsaw offers a 2(+1)-year postdoctoral position within the project Continuously Monitored Quantum Sensors: Smart Tools and Applications (C'MON-QSENS!)
funded by the QuantERA EU programme in Quantum Technologies. The appointment will be for two years with a one-year extension option.

The successful candidate will develop data-inference (DI) and signal-processing (SP) software tools (involving Bayesian filtering, compressed sensing, machine learning) for them to be robust, efficient and compatible with state-of-the-art quantum sensors operating in real-time.
The candidate will also have the possibility to develop numerical simulations (quantum trajectories, Monte-Carlo) of optomechanical and atomic sensors, such that the DI and SP tools can be explicitly verified and calibrated, before implementing them explicitly in real-life experiments at the later stage of the project while visiting relevant consortium partners.

The work will be conducted under the supervision of Jan Kolodynski, however, in close collaboration (long-term visits, also to experimental teams, are fully supported financially and encouraged) with other members of the C’MON-QSENS! Consortium:
- Yonina Eldar (Weizmann Institute of Science, IL)
- Klaus Mølmer (Aarhus University, DK)
- John Calsamiglia (Autonomous University of Barcelona, ES)
- Witlef Wieczorek (Chalmers University of Technology, SE)
- Kasper Jensen (University of Nottingham, UK)

Profile of the candidate:
Candidates should have a PhD degree in physics or a related area (e.g. engineering, computer science). The degree should be obtained not earlier than 7 years before the employment in the project.
Experience in implementing signal-processing and data-inference tools in quantum applications is highly desired but not essential.

Salary:
10 000 PLN of full remuneration cost, i.e. expected net salary at 6000-7000 PLN (~1600 EUR).
Applications for extra independent scholarships of Polish institutions will be encouraged and supported.

Application deadline:
5 April 2020

Expected starting date:
4 May 2020 or later

Further information:
For further information about the application process, please, consult the attachment (written in both English and Polish) of the official announcement at the CeNT website.
Informal enquiries may be addressed by email to Jan Kolodynski at jan.kolodynski@cent.uw.edu.pl.

Institute of Electronics and Computer Science (EDI) announces the opening of the competition for preliminary selection of postdoctoral applications for submission to the State Education Development Agency (SEDA) under the Activity 1.1.1.2 “Post-doctoral Research Aid” of the Specific Aid Objective 1.1.1 “To increase the research and innovative capacity of scientific institutions of Latvia and the ability to attract external financing, investing in human resources and infrastructure” of the Operational Programme “Growth and Employment”.

The postdoctoral applications must correspond to the main research directions of EDI:

1. Extremely precise event timing for ground and space domains.

2. Signal processing and embedded intelligence.

3. Smart sensors and IoT.

4. Remote sensing and space data processing.

5. Robotics and machine perception.

The deadline for submission is 24 June, 2019.

The postdoctoral researchers intending to participate in the Activity are asked to send (info@edi.lv):

– Curriculum vitae (form by Europass);

– A numbered list of publications;

– The title and the summary of the intended research.

After receiving the required documents, a communication between EDI and the applicant will start on preparing the research application.

More information: +371 67554500; info@edi.lv

The department of mathematics and computer science at the Weizmann Institute invites researchers for a postdoctoral position in the area of signal processing and machine learning with applications in communications, radar, medical imaging and optical imaging. The selected candidate will work with Prof. Yonina Eldar at the SAMPL lab. In the area of medical imaging, the work will be performed in close collaboration with leading hospitals in Israel and abroad. Some of the topics will be in close collaboration with PIs at MIT, Stanford and the Broad Institute.

Qualifications: Applicants should have a Ph.D. (or they are about to graduate) in electrical engineering, computer science, or applied mathematics. A strong background in signal processing, algorithms or mathematics is required. Excellent English writing skills are an advantage.

Compensation: This is a full-time, one-year, non-tenure-track appointment with possibility of extension subject to satisfactory performance. Funds for conference travel and research expenses will also be provided. Starting date is flexible.

For more details please visit Prof. Eldar’s website: http://www.wisdom.weizmann.ac.il/~yonina/YoninaEldar/index.html

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

• Tackle challenges in data collection, information extraction & transmission.
• Excellent opportunity to work in a leading scientific institution with dedicated professionals 
• Join CSIRO’s Data61, the largest data innovation group in Australia 

The Position This Senior/Principal Research Scientist will sit within the Cybernetics Group in the CPS Program. The Cybernetics Group tackles major challenges in data collection and information extraction and transmission from complex environments, under constrained conditions and with limited resources. In this role you will lead individual research efforts and contribute to the acquisition and execution of external projects. The Research Scientist will have a strong background, including publications at top-tier venues, in more than one of the specific research areas i.e.:

• Signal processing for RF localisation, tracking and environment mapping, and the inference and contextualisation on individual and group behaviour, and trust. 
• Signal processing techniques for micro and biomedical sensing systems, and human-machine interface optimisation, and/or inference from sensory data to assist medical diagnosis. 
• Miniaturisation techniques for sensing/actuator systems and platforms that incorporate high-performing battery, telemetry, sensors, actuators and data management solutions, and/or design and implementation of associated ASICs.
• Signal processing techniques for broad bandwidth space communication and sensing systems, such as signal capture and fast track, and system architecture design. 

The role of the Senior/Principal Research Scientist is to provide scientific leadership, to play a lead role in securing project funds, and to develop and pursue research agendas within the context of our vision to investigate the use of novel systems, methodologies, techniques for the creation of reliable and long-lasting data acquisition and communication systems.   Location:      Marsfield, NSW or Pullenvale, VIC Salary:          * CSOF6 AU$113,338k - AU$132,811k plus up to 15.4% superannuation                       * CSOF7 AU$136,437k - AU$150,956k plus up to 15.4% superannuation Tenure:        Indefinite Reference:  63152   *NB: This position is offered across two levels, the appointment level will be determined by the qualifications, skills and relevant experience of the successful candidate   To be successful you will need: Under CSIRO policy only those who meet all essential criteria can be appointed.

• Education/Qualifications:  A doctorate or equivalent research experience in a relevant discipline area, such as Electronics Engineering, and mixed academic and industrial research leadership experience 
• Solid technical expertise in at least two of the following specific research areas.
  • Signal processing algorithm design and implementation in RF tracking systems, including array signal processing, time-of-arrival extraction, beamforming, belief propagation, convex optimisation, deep reinforcement learning, and their implementations in edge computing platforms; 
  • Architecture design and implementation of micro sensing systems, including platform design and miniaturisation, operating systems services and network stacks for embedded devices, low-power operation for energy harvesting systems, deep learning, and applications building on those technologies;
  • Architecture design and signal processing techniques for space communications and space situational awareness, including front-end and baseband architecture, design and implementation, signal detection and fast capture in extremely low signal-to-noise region, high-speed communication, and angle-of-arrival estimation.
• A record of science innovation and creativity plus the ability & willingness to incorporate novel ideas and approaches into scientific investigations.
• Demonstrated ability to work effectively as part of a research team, supervise junior researchers and students, and carry out independent individual research, to achieve organisational goals. 
• Strong written and oral communication skills including the ability to publish research results, prepare reports and present the results of scientific investigations at national and international conferences and stakeholder meetings.
• A strong track-record of publications in quality, peer reviewed journals to demonstrate national research standing, e.g., IEEE Journal on Selected Areas in Communications, IEEE Transactions on Communications, IEEE Transactions on Signal Processing, etc.
• A history of professional and respectful behaviours and attitudes in a collaborative environment.

The successful applicant may be required to obtain and provide a National Police Check or equivalent.   For more information please view the Position Description.   We’re working hard to recruit diverse people and ensure all our people feel supported to do their best work and empowered to let their ideas flourish. D&I Strategy   CSIRO’s Commitment to Safety, Sustainability and Diversity CSIRO is committed to safe work practices, environmental sustainability and ensuring equity and diversity in our recruit processes so all our people feel safe and supported to do their best work and are empowered to let their ideas flourish.   Flexible Working Arrangements We work flexibly at CSIRO, offering a range of options for how, when and where you work. Talk to us about how this role could be flexible for you. Balance   About CSIRO At CSIRO you can be part of helping to solve big, complex problems that make a real difference to our future. We spark off each other, learn from each other, trust each other and collaborate to achieve more than we could individually in a supportive, rewarding, inclusive and truly flexible environment.    Apply Online To apply online, please provide a CV and letter outlining your suitability and motivation for the role.    Applications Close Thursday, 20th February 2020 at 11:59PM AEST

Job #JPF05862

• The Henry Samueli School of Engineering - Biomedical Engineering

Recruitment Period

Open date: November 19th, 2019 Next review date: Friday, Jan 3, 2020 at 11:59pm (Pacific Time)
Apply by this date to ensure full consideration by the committee. Final date: Friday, Feb 28, 2020 at 11:59pm (Pacific Time)
Applications will continue to be accepted until this date, but those received after the review date will only be considered if the position has not yet been filled.

Description

The UCI Department of Biomedical Engineering (BME) in the Henry Samueli School of Engineering is recruiting a highly motivated and creative individual for a postdoctoral scholar position with a focus on applications of artificial intelligence in cardiac MRI. The projects at Kheradvar research Group (KLAB) are at the intersection of engineering, mathematical sciences, clinical cardiology, cardiothoracic surgery, and developmental biology. The candidate will be working on a joint project between Prof. Kheradvar and Prof. Jafarkhani (the UCI’s Center for Pervasive Communications and Computing (CPCC).

The desired candidates must have:
• Machine Learning & AI Experience
• Signal Processing/ Image Processing knowledge
• Understand Python architecture - must have a basic understanding of code primarily python.
• Experience working in a team as a dev or the team mind set in an Agile Environment
• Must understand AI algorithms so (coding & Math) at a level to DESIGN new algorithms
• Must be up to date with AI Architecture
• Plus: Experience in MRI
• Plus: Web developer experience

Requirements: Ph.D. in electrical engineering, biomedical engineering, computer science/engineering, physics, mathematics, statistics, or related fields. Ability to work well with a diverse group of scientists. Excellent oral and written communication skills.

The initial appointment for this position will be for 1 year with potential for renewal. Salary is commensurate with qualifications and years of experience. NIH scale will be used to determine salary, and a generous benefits package is provided per the university policies. Note: Total duration of an individual’s postdoctoral service may not exceed five years, including postdoctoral service at other institutions.

Application Procedure: Applicants will need to upload curriculum vitae, name/addresses of at least three references and cover letter expressing area(s) of interest to our online RECRUIT system at https://recruit.ap.uci.edu/apply/JPF05862

Screening will begin on January 3, 2020 and continue until position is filled.

The University of California, Irvine is an Equal Opportunity/Affirmative Action Employer advancing inclusive excellence through diversity. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, protected veteran status, or other protected categories covered by the UC nondiscrimination policy.

Job location

Irvine, CA

Learn More

More information about this recruitment: http://engineering.uci.edu/dept/bme Apply here: https://recruit.ap.uci.edu/JPF05862 Send an emial to Prof. Arash Kheradvar (arashkh@uci.edu) and/or Prof. Hamid Jafarkhani (hamidj@uci.edu) for further information.

Requirements

Document requirements

• Curriculum Vitae - Your most recently updated C.V.

• Cover Letter - Express areas of interest.
  (Optional)

• Misc / Additional (Optional)

Reference requirements

• 3 required (contact information only)