Signal Processing for Communications and Networking

Joint postdoc position between Princeton University and the Weizmann Institute at the intersection of signal processing, communications, and biomedical applications.

The work will be performed with the groups of Profs. Andrea Goldsmith and Yonina Eldar.  Background in one or more of the above areas required with the desire to expand into the other areas.

The candidate is expected to spend time in both locations, working with collaborative and supportive teams.

Interested candidates should send a CV, references and cover letter to yonina.eldar@weizmann.ac.il and goldsmith@princeton.edu.

Joint postdoc position between Princeton University and the Weizmann Institute at the intersection of signal processing, communications, and biomedical applications. The work will be performed with the groups of Profs. Andrea Goldsmith and Yonina Eldar.  Background in one or more of the above areas required with the desire to expand into the other areas. The candidate is expected to spend time in both locations, working with collaborative and supportive teams.

Interested candidates should send a CV, references and cover letter to yonina.eldar@weizmann.ac.il and goldsmith@princeton.edu.

 

 

 

The research group, Communication Systems and Networks (CSN), has one open postdoc position and we are now looking for a talented postdoctoral researcher in the area of experimental research for time-critical remote-controlled applications in 5G-and-Beyond to join our team and help us fulfil the project's goals, producing quality research and collaborate with external project partners in Swedish ICT industry. The position is placed at the Sensible Things that Communicate (STC) research center, who is a leading Scandinavian research center in Industrial IoT, and are doing research on fields ranging from wireless connectivity, network security and cryptography, distributed systems, ML/AI, embedded systems, visualization and measurement systems.

We seek an outstanding talent with a Ph.D. in Computer Science, Computer and Electrical Engineering, or similar. The ideal candidate have a solid background in experimental wireless research, various RAN technologies, wireless communication (PHY/MAC), channel/network measurements and analysis. Previous experiences in ML/AI and wireless prototyping is an advantage.

The work will involve algorithm development, simulations and testing, modelling and prototyping, publishing high-quality research papers in high-ranked journals and to contribute to the preparation and drafting of research bids and proposals.

More information on position and how to apply.

Best regards,

Prof Mikael Gidlund

https://www.miun.se/en/personnel/mikaelgidlund/

Automotives in next-generation vehicular networks will be equipped with advanced communication and multi-modal sensing capabilities. Existing radar sensing solutions, however, are not designed to leverage this connectivity and sensing infrastructure. The PhD project will address this gap by developing advanced signal processing algorithms that make the best use of the available infrastructure.

The PhD candidate will work on distributed signal processing on radar data using the communication backbone network. The goal is to exploit vehicular connectivity to enhance perception in mixed traffic conditions where vehicles have varied sensing capabilities.

The candidate will be embedded in the research group of Dr. Geethu Joseph and will have close collaboration with colleagues from the section Circuits and Systems and the department Microelectronics within the Faculty of EEMCS at the TU Delft and the Faculty of 3mE. The PhD candidates will also work in close collaboration with industry experts from NXP. 

Please apply using this link.

Candidates are also encouraged to look at another PhD vacancy: TUD02957 - PhD Position Robust Signal Processing for Next Generation Automotive Radars within the project SPEAR, in the group of Nitin Myers at 3ME.

Requirements

You should have:

• A Masters degree in Electrical Engineering, Systems & Control, Engineering Physics, Applied Mathematics, or any field related to the lab’s research topics;
• A background in applied mathematics, particularly, linear algebra and probability;
• A solid understanding of statistical signal processing and optimization;
• A background in radar and wireless communication is desirable, but not mandatory;
• An experience in programming e.g., Python, MATLAB, R
• A good command of English (verbal and written);
• Excellent communication and interpersonal skills;
• Ability to work in a collaborative environment 

Doing a PhD at TU Delft requires English proficiency at a certain level to ensure that the candidate is able to communicate and interact well, participate in English-taught Doctoral Education courses, and write scientific articles and a final thesis. For more details, please check the Graduate Schools Admission Requirements.

Conditions of employment

Doctoral candidates will be offered a 4-year period of employment in principle, but in the form of 2 employment contracts. An initial 1,5 year contract with an official go/no go progress assessment within 15 months. Followed by an additional contract for the remaining 2,5 years assuming everything goes well and performance requirements are met.

Salary and benefits are in accordance with the Collective Labour Agreement for Dutch Universities, increasing from € 2541 per month in the first year to € 3247 in the fourth year. As a PhD candidate you will be enrolled in the TU Delft Graduate School. The TU Delft Graduate School provides an inspiring research environment with an excellent team of supervisors, academic staff and a mentor. The Doctoral Education Programme is aimed at developing your transferable, discipline-related and research skills.

The TU Delft offers a customisable compensation package, discounts on health insurance and sport memberships, and a monthly work costs contribution. Flexible work schedules can be arranged. For international applicants, we offer the Coming to Delft Service and Partner Career Advice to assist you with your relocation.

TU Delft (Delft University of Technology)

Delft University of Technology is built on strong foundations. As creators of the world-famous Dutch waterworks and pioneers in biotech, TU Delft is a top international university combining science, engineering and design. It delivers world-class results in education, research and innovation to address challenges in the areas of energy, climate, mobility, health and digital society. For generations, our engineers have proven to be entrepreneurial problem-solvers, both in business and in a social context.

At TU Delft we embrace diversity as one of our core values and we actively engage to be a university where you feel at home and can flourish. We value different perspectives and qualities. We believe this makes our work more innovative, the TU Delft community more vibrant and the world more just. Together, we imagine, invent and create solutions using technology to have a positive impact on a global scale. That is why we invite you to apply. Your application will receive fair consideration.

Challenge. Change. Impact!

Faculty Electrical Engineering, Mathematics and Computer Science

The Faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS) brings together three disciplines - electrical engineering, mathematics and computer science. Combined, they reinforce each other and are the driving force behind the technology we use in our daily lives. Technology such as the electricity grid, which our faculty is helping to make future-proof. We are also working on a world in which humans and computers reinforce each other. We are mapping out disease processes using single cell data, and using mathematics to simulate gigantic ash plumes after a volcanic eruption. There is plenty of room here for ground-breaking research. We educate innovative engineers and have excellent labs and facilities that underline our strong international position. In total, more than 1,100 employees and 4,000 students work and study in this innovative environment.

Click here to go to the website of the Faculty of Electrical Engineering, Mathematics and Computer Science.

The department Microelectronics (ME) focuses on microelectronics, microfabrication, signal processing, radar, and microwave systems. The research is clustered in three main themes: Health and Well-Being, Next-Generation Communication and Sensing, and Autonomous Sensor Systems. The department's activities are highly multi-disciplinary, involving innovative combinations of device physics, material science, and chemistry, on the one hand, with signal processing, circuit, and system design, on the other. They are also multidisciplinary about their scope of applications, as they play a crucial role in nearly all fields of innovation, ranging from advanced health care to telecommunications and smart grids.

Additional information

For more information about this vacancy, please contact Geethu Joseph at G.Joseph@tudelft.nl or Nitin Myers at N.J.Myers@tudelft.nl. 

For information about the application procedure, please contact Marjolein van der Heijden, HR Advisor, M.F.E.vanderHeijden@tudelft.nl

Application procedure

Are you interested in this vacancy? Please apply by January 31, 2023, via the application button, and upload:

• A cover letter stating your motivation (max 1 page) and mentioning your preferred project (distributed signal processing or waveform design);
• A detailed curriculum vitae;
• Name and contact information of two professional referees;
• A list of courses taken with grades obtained in Bachelors and Masters degree;
• A list of publications (if any);
• A summary of Bachelors and Masters thesis.

The available position will be filled as soon as possible (i.e. once a suitable candidate is found). This means that the selection of candidates will already start before the application deadline.

A pre-employment screening can be part of the selection procedure.

You can apply online. We will not process applications sent by email and/or post.

Acquisition in response to this vacancy is not appreciated.       

The Delft Center for Systems and Control (DCSC) at TU Delft is offering one PhD vacancy under the newly funded ‘Signal Processing for Environment-Aware Radar’ (SPEAR) project. The project will be carried out in the research group of Dr. N. J. Myers, in collaboration with researchers at the faculty of 3mE and the faculty of EEMCS. The PhD candidate will work on industry-relevant scientific challenges in collaboration with industry experts from NXP.

Dr. Myers’s group at TU Delft develops and analyzes novel signal processing techniques for communications and sensing with wireless systems. We focus on both applied and theoretical aspects of challenging problems in connected automotive and radars.

PhD project description: In next generation automotive networks, radars will be deployed in almost every vehicle to ensure safe driving. In such dense radar deployments, signals from multiple radars interfere with each other and deteriorate the perception capability of the radars.  This PhD project will develop new signal processing techniques, to construct multi-dimensional digital radar waveforms and algorithms, that ensure interference-robust radar operation even in dense automotive networks. Our techniques are also expected to adapt to the sensing environment, by leveraging information from various sensors in an automotive. 

Are you interested in this vacancy? Please check the job requirements and apply here before 31 January 2023.

Candidates are also encouraged to look at another PhD vacancy, within the project SPEAR, in the group of Dr. Geethu Joseph, EEMCS: PhD Position in Radar Signal Processing For Next Generation Vehicular Networks.

Project

A PhD or Postdoctoral research position is available in the KU Leuven, Electrical Engineering Department (ESAT), STADIUS Center for Dynamical Systems, Signal Processing and Data Analytics, in the frame of a research project on the design of integrated and distributed digital signal processing algorithms for audio and speech communication devices. Research will be focused on digital signal processing (DSP) functions such as signal enhancement, acoustic echo and feedback cancellation, dereverberation, active noise control, etc.  Whereas such DSP functions are traditionally developed and analysed in isolation, a generic holistic approach will be developed, integrating the individual DSP functions in a common acoustic control problem statement and solution strategy. Representative use cases will also be developed, focusing on hearing instruments technology, and public address and interactive virtual acoustics technology.   The research will be carried out in an international team of signal processing researchers at STADIUS. The standard duration of a PhD research project at KU Leuven is 4 years.   The STADIUS research division of the KU Leuven Electrical Engineering Department (ESAT) joins over 100 researchers. One subgroup within STADIUS (20 researchers supervised by Prof. Marc Moonen and Prof. Toon van Waterschoot) performs research on digital signal processing with application to speech and audio processing and digital communications.

Profile

• Candidates must hold a Master degree or PhD degree in Electrical Engineering (or equivalent), have a solid mathematical background (e.g. in matrix algebra and statistics) and have taken specialized courses in at least two of the following disciplines: digital signal processing, audio signal processing, stochastic signals and systems, optimization.
• Research experience (e.g. through Master thesis work or research internships) in digital signal processing and/or audio signal processing is considered a strong asset.
• Experience with Matlab programming is required, and experience with other programming languages (C/C++/Python/...) is considered beneficial.
• Excellent proficiency in English is required, as well as good communication skills, both oral and written.

RESPONSIBILITIES

The PhD or postdoctoral researcher will

• Carry out research on the design of integrated and distributed digital signal processing algorithms for audio and speech communication devices;
• Monitor the work plan of the research project and make sure that milestones are achieved and deliverables are finalized in a timely manner;
• Actively participate in internal research and project meetings;
• Assist in the supervision of Master thesis students;
• Perform a limited amount of teaching activities (max. 2h per week).

The Phd researcher will

•  Enroll in a doctoral training program at the Arenberg Doctoral School, and adhere to the doctoral school’s coursework requirements for PhD researchers.

Offer

• A high-level and exciting international research environment;
• A competitive salary or tax-free PhD grant;    
• The possibility to participate in local as well as international courses, workshops and conferences;
• A one-year position with the possibility of extension for additional years.

Interested?

For more information please contact Prof. dr. ir. Marc Moonen, tel.: +32 16 32 10 60, mail: marc.moonen@kuleuven.be or Prof. dr. ir. Toon van Waterschoot, tel.: +32 16 32 17 88, mail: toon.vanwaterschoot@kuleuven.be. You can apply for this job no later than December 02, 2021 via the online application tool   KU Leuven seeks to foster an environment where all talents can flourish, regardless of gender, age, cultural background, nationality or impairments. If you have any questions relating to accessibility or support, please contact us at diversiteit.HR@kuleuven.be.

Job description

The wireless communication systems beyond 5G aim to enhance connectivity with a drastic increase in the number of connected devices and improved quality of service requirements in terms of data rate, latency, reliability, and scalability. To this end, we need new physical layer signal processing for the futuristic systems to efficiently acquire and process the resulting enormous amount of data. An important emerging approach is the deep learning-based techniques. The state-of-the-art deep learning solutions for wireless communications are indeed very promising due to their learning abilities. However, they lack interpretability and come with no performance guarantees. In this PhD project, we will investigate the integration of the traditional signal processing algorithms with performance guarantees, and the tools from deep learning, combining the best of both worlds. The challenge here is to understand the right balance between the model-driven and data-driven methods. Our goal is to explore the different combinations of the two approaches and develop new solutions for signal detection and channel acquisition. We also characterize the performance limits of this hybrid analytical framework, aiming at new wireless system designs with improved reliability and connectivity.

The Circuits and System Group seeks for enthusiastic PhD candidates to work on this project. The research will focus on

• Understanding the limitations and challenges of the signal processing for wireless technologies beyond 5G
• Developing new solutions for signal detection and channel acquisition using model-based deep learning
• Analyzing the performance guarantees of the derived solutions in terms of achievable data rates and reliability of the communication (outage and error probabilities)

Requirements

• An MSc degree in an engineering discipline relevant to PhD research.
• Strong background in applied mathematics, particularly, real analysis, probability, and linear algebra.
• Background in wireless communications is desirable, but not mandatory.
• Experience in programming e.g., Python, MATLAB, R.
• Good verbal and written English skills.
• Excellent communication and interpersonal skills.
• Ability to work in a collaborative environment.

To apply, please follow the process indicated on the formal vacancy announcement. 

The Department of Electrical Engineering at Stanford University (http://ee.stanford.edu/) invites applications for a tenure-track faculty appointment at the junior level (Assistant or untenured Associate Professor) in the broadly defined field of electrical and computer engineering. Priority will be given to the overall originality and promise of the candidate’s work over any specific area of specialization.

Applicants should have an earned Ph.D., evidence of the ability to pursue an independent program of research, a strong commitment to both graduate and undergraduate teaching, and the ability to initiate and conduct research across disciplines. A successful candidate will be expected to teach courses at the graduate and undergraduate levels and to build and lead a team of graduate students in Ph.D. research.

Applications should include a brief research and teaching plan, a detailed resume including a publications list, and the names and email addresses of at least five references.

The Electrical Engineering Department, School of Engineering, and Stanford University value faculty who are committed to advancing diversity, equity, and inclusion. Candidates may optionally include as part of their research or teaching statement a brief discussion of how their work will further these ideals.

Candidates should apply online at http://ee.stanford.edu/job-openings. Applications will be accepted through November 28, 2021.

Stanford is an equal employment opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law. Stanford also welcomes applications from others who would bring additional dimensions to the University's research, teaching and clinical missions.

 

 

 

PostDoc and visiting PhD Positions Available at USC:  Wireless Channel Measurement and High-Resolution Evaluation  

The WiDeS group of Prof. Andy Molisch at the University of Southern California seeks a PostDoctoral Researcher to work on the measurement of wireless propagation channels, and particularly the high-resolution evaluation of those measurements. Emphasis of the work is in the mmWave and THz frequency range. The position is available starting October 1st 2021. In addition to the PostDoc position, applications for visiting PhD students are also welcome. 

The work, which is funded by the National Science Foundation as well as industrial sponsors, aims to develop new measurement technologies, perform measurement campaigns, and extract parameters by means of high resolution parameter estimation of propagation channels in the frequency range between 20 and 500 GHz. The resulting channel models will be of great interest in the development of 6G systems.  

The group is one of the world leaders in the area of propagation channel measurement and modeling, with cutting-edge equipment, a strong team of researchers, PostDocs, and PhD students with accumulated knowledge and experience in measurement and modeling techniques, and a long history of innovations; for details see https://wides.usc.edu. The University of Southern California is ranked among the top-10 universities in the US in engineering (US News and World Report). The successful candidate(s) will have the opportunity to interact with both the WiDeS group as well as other groups across campus. Mentoring and career support will be provided to the successful candidate.  

The successful candidate(s) will have a solid background in high resolution parameter extraction for channel measurements and/or experience with propagation channel and/or RF measurements, preferably in the mmWave/THz range. A good publication record is expected. A CV with details of the applicable experience, skills, and publications, and contact details (or recommendation letter) of at least one reference should be sent  to molisch at usc.edu. For full considerations, applications should be sent by 10/4/2021. After this date, the search will continue until the position is filled.  

Applications from female researchers and underrepresented minorities are particularly encouraged. 

RF SIGNAL PROCESSING ENGINEER (SPACECRAFT)

Hawthorne, CA, United States

SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today SpaceX is actively developing the technologies to make this possible, with the ultimate goal of enabling human life on Mars.

RF SIGNAL PROCESSING ENGINEER (SPACECRAFT)

RESPONSIBILITIES:

• Develop algorithms and signal processing for modem and sensor systems for spacecraft
• Create simulations of modem and sensor performance
• Verify end-to-end performance of integrated system including hardware and software – with realistic test setups
• Support real-world operation and demonstration of comm systems and sensors

BASIC QUALIFICATIONS:

• Bachelor's degree in an engineering discipline with emphasis in communication systems and digital signal processing
• 2+ years of experience designing and verifying modems and sensor signal processing

PREFERRED SKILLS AND EXPERIENCE:

• Advanced degree in electrical engineering with emphasis in communication systems and digital signal processing
• 6+ years of experience designing and verifying modems and sensor signal processing
• Expertise in developing signal processing algorithms for communications, sensors and navigation systems in Matlab, C/C++, or Python using both floating point and fixed-point design techniques
• Experience in migrating modeled algorithms to implementations in FPGA’s, ASIC’s, or high-performance SDR frameworks.
• Expertise with Software-Defined Radios (SDR) frameworks such as GNU Radio, Pothosware or LabVIEW
• Experience with various digital modulation schemes such as BPSK, QPSK, QAM, PCM/FM, APSK, OFDM, including spread spectrum
• Ability to perform trades and functional allocation to heterogeneous processing elements (processors, FPGA’s) in complex RF systems.
• Experience with Xilinx Zynq Ultrascale RFSOC series FPGA’s, Analog Devices AD9361, and other common RF chipsets
• Familiarity with radio related test equipment such as spectrum analyzers and signal generators
• Understanding of RF concepts such as AGC, noise figure, power amplifiers, phase noise, PLL, oscillators/mixers
• Experience with continuous wave or pulse radar
• Excellent communication and documentation skills, and ability to collaborate with other engineering disciplines

ADDITIONAL REQUIREMENTS:

• Must be willing to work extended hours and weekends as needed

ITAR REQUIREMENTS:

• To conform to U.S. Government space technology export regulations, including the International Traffic in Arms Regulations (ITAR) you must be a U.S. citizen, lawful permanent resident of the U.S., protected individual as defined by 8 U.S.C. 1324b(a)(3), or eligible to obtain the required authorizations from the U.S. Department of State. Learn more about the ITAR here.  

SpaceX is an Equal Opportunity Employer; employment with SpaceX is governed on the basis of merit, competence and qualifications and will not be influenced in any manner by race, color, religion, gender, national origin/ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability or any other legally protected status.

Applicants wishing to view a copy of SpaceX’s Affirmative Action Plan for veterans and individuals with disabilities, or applicants requiring reasonable accommodation to the application/interview process should notify the Human Resources Department at (310) 363-6000.