Signal Processing for Communications and Networking

Open Postdoc position (short-term and long-term) in Advanced Communications and Distributed Computing at EURECOM (English Speaking Ivy-League School in the French Riviera)

Postdoc positions available,
- For research in a variety of topics such as Wireless Communications, Information Theory, Edge Computing, Caching, Distributed computing, and distributed aspects of Machine learning.
- at EURECOM - Sophia Antipolis, France (ideally located in the heart of the French Riviera, inside the multi-cultural silicon valley of Europe).
(EURECOM is one of Europe's premium Graduate Schools in telecommunications. English is the official and only language of the University)
-The duration can be 1.5, or up to 3-4 years.

To apply, please email complete CV to Petros Elia: petros.elia[at]eurecom.fr (http://www.eurecom.fr/~elia/)
Please indicate "ERC-DUALITY position” in the e-mail subject line.
Deadline for applications: February 2020.

Additional advantages:
- Funding supports joint collaboration and travel to top universities in the US and Europe.
- Strong social benefits.
- Frontier research: "European Research Council (ERC) grants support frontier research. The ERC encourages in particular proposals that cross disciplinary boundaries, pioneering ideas that address new and emerging fields and applications that introduce unconventional, innovative approaches."

About EURECOM
EURECOM is an English-speaking school that enjoys a special status within the group of French Ivy League schools, or “Grandes Ecoles” as it is the only engineering school in France with a full English language curriculum. Besides teaching at the MSc and PhD levels, EURECOM’s activities mainly revolve around research in the domains of networking, computer security, data-science and mobile communications. It has some 150 employees, including 125 scientists. 

About the position:

We have a vacancy for a PhD Research Fellow position at the Department of Electronic Systems (IES). The PhD position is for up to 4 years with 25% work assignments for NTNU IES.

Job description:

In the emerging paradigms of CPS and IoT, large quantities of data are constantly collected by multiple sensors to enable accurate inference and smart decision making. The collected data may reveal more information than required because the sensors observe multiple correlated processes. In addition, stringent limitations on IoT sensors often preclude cryptography-based data security, which makes the system vulnerable various types of physical-layer attacks, e.g., data falsification and replay attacks. Examples include unauthorized drone tracking and steering, and data falsification in autonomous transport systems. In summary, to realize the full potential promised by IoT, developed solutions need to incorporate more realistic environments and time-critical constraints to ensure privacy-preserving and attack-resilient network operation.

The aim of this project is to design and analyze advanced distributed signal processing and optimization approaches to overcome security and privacy challenges faced by future CPS/IoT, where traditional methods fail to prevent attacks and loss of privacy. The PhD candidate will be affiliated with NTNU IoT lab, and have the opportunity to visit and collaborate with research scientists from SINTEF, University of Notre Dame, USA and Syracuse University, USA.

Qualification requirements:

We seek a highly-motivated individual who has

• strong background in mathematics, communications, and statistical signal processing
• research-oriented master thesis in a related field, e.g., statistical signal processing, information theory, statistical machine learning, multi-agent networked systems, applied mathematics, or optimization
• experience with programming
• good written and oral English language skills

Salary and conditions:

PhD candidates are remunerated in code 1017, and are normally remunerated at gross from NOK 479 600 per annum before tax. From the salary, 2% is deducted as a contribution to the Norwegian Public Service Pension Fund.

For more information and application submission, please follow the link:
https://www.jobbnorge.no/en/available-jobs/job/174696/phd-position-in-distributed-signal-processing-for-resilient-iot-cps

Immediate opening for a postdoctoral researcher in radionavigation and wireless communication systems at the Autonomous Systems Perception, Intelligence, & Navigation Laboratory (https://aspin.ucr.edu); University of California, Irvine (https://uci.edu).

Desired qualifications: (1) Ph.D. in Electrical and Computer Engineering, Aerospace Engineering, or a closely related field; (2) knowledge of wireless communications and/or GNSS; (3) demonstrated hands-on expertise in software-defined radio (SDR) design and implementation; (4) strong programming skills (MATLAB, LabVIEW, and/or C++); (5) publications in relevant top-tier journals and conference proceedings; (6) strong communication, presentation, and documentation skills; and (7) ambition to become a leader in the field (e.g., Professor, Senior R&D Engineer, Managing Technical Director, Program Manager, etc.). To apply, please email me: (1) a complete CV, (2) up-to-date university transcripts, (3) a short statement describing research interests and goals, (4) names and contacts of 3 references, and (5) a link to your website (if available). Position duration: minimum of 1 year, extendable up to 3 years.

Educational Testing Service (ETS), with headquarters in Princeton, NJ, is the world’s premier educational measurement institution and a leader in educational research. With more than 3,400 global employees, we develop, administer and score more than 50 million tests annually in more than 180 countries at more than 9,000 locations worldwide. We design our assessments with industry-leading insight, rigorous research and an uncompromising commitment to quality so that we can help education and workplace communities make informed decisions.

ETS's Research & Development division has an opening for an associate research scientist in the Speech area of the NLP & Speech research center. The projects in this research group focus on the application of NLP, speech, dialogue, and multimodal processing algorithms in automated scoring capabilities for assessment and learning tasks involving constructed responses (such as essays and spoken responses). In addition to its signature automated scoring systems for text and speech assessments, the group is actively pursuing technology innovation in education and learning spaces by performing foundational research, prototyping next-generation capabilities, and collaborating with academic and industry partners. The NLP & Speech research group currently comprises around 20 PhD-level research scientists, 10 research engineers, and 10 research assistants and administrative staff.

This is an excellent opportunity to be part of a world-renowned research and development team and have a significant impact on existing and next-generation NLP, speech, dialogue, and multimodal systems and their use in educational applications.

Responsibilities:

• Conceptualizing, proposing, obtaining funding for, and directing small projects in the area speech processing for educational applications and assisting in moderate-to-major research projects. 
• Assist in generating or contributing to new knowledge or capabilities in the field of speech processing and in applying that new knowledge and capabilities to existing and/or new ETS products and services.  Some speech processing research areas that are relevant to ETS R&D include (but are not limited to) automatic speech recognition for non-native speakers of English, voice biometrics, computer-assisted pronunciation training, and automated speech scoring.
• Participate in setting substantive research and development goals and priorities for a group or initiative within a vice presidential area.
• Develop proposals and budgets for small projects and/or assist in development for moderate-to-major ones.

Requires:

• Ph.D. in Computer Science, Computational Linguistics, Electrical Engineering, Natural Language Processing, Linguistics, or a similar area with major education in speech processing.
• At least one year of independent substantive research experience in speech processing is required. Experience can be gained through doctoral studies.
• Practical expertise with speech processing tools (e.g., kaldi), experience with machine learning toolkits (e.g., Weka, scikit-learn), and fluency in at least one major programming language (e.g. Java, Python).
• Practical experience with deep learning paradigms and toolkits (e.g., TensorFlow, pytorch, Keras) is highly desirable.
• Documented contributions to research communities and a strong publication record and experience I system building and prototyping are preferred.

 We offer a competitive salary, comprehensive benefits, possible relocation assistance and excellent opportunities for professional and personal growth. For a full list of position responsibilities and to apply please visit the following link: Associate Research Scientist, Speech

EDUCATIONAL TESTING SERVICE is an Equal Opportunity and Affirmative Action Employer of Women and Minorities.

EDUCATIONAL TESTING SERVICE is an Equal Opportunity and Affirmative Action Employer of protected Veterans and Individuals with Disabilities.

EDUCATIONAL TESTING SERVICE is a Drug-free workplace.

The Chair of Theoretical Information Technology has an immediate opening for a

Doctoral student; Postdoctoral student:
Hardware Demonstrator for Post Shannon Communication (E13 TVL) (f/m/d)

for the joint project "Post Shannon Communication," which is being funded by the Federal Ministry of Education and Research (BMBF). In this joint project, transmission systems that go beyond Shannon's communication approach are to be developed in order to achieve more efficient information transmission for selected applications. The position is initially limited to three years. An extension is possible.

Content of the project and areas of responsibility
▪ Construction of a hardware demonstrator
▪ Implementation of the developed transmission methods, to demonstrate the achievable gains of the new communication approach
▪ Publications and presentations of scientific results, teaching duties

Your qualifications
▪ Above-average university degree in electrical engineering, communications engineering, physics (or similar)
▪ Interest in hardware-related development and thorough knowledge of communications engineering
▪ Software: MATLAB (experience with FPGA programming and LabVIEW desirable)
▪ Familiarity with measuring instruments (oscilloscope, spectrum analyzer, etc.)
▪ Goal-oriented, independent and structured work style

Our offer
▪ Current research topic in a challenging international working environment
▪ Full-time position (E13 TVL) with the possibility of earning a doctoral degree

To apply
Please send us your application by e-mail (jobs.lti@ei.tum.de) with the following documents:
▪ Curriculum vitae, copies of relevant certificates and diplomas, contact information for two references
▪ Short description of your research interests and your motivation for the application
▪ Master thesis and (if available) up to 3 publications

Application deadline: August 8, 2019
For further information see: https://www.ei.tum.de/en/lti/stellenangebote

General Information
TUM is aiming to increase the number of women employees, and applications from women are expressly welcomed. People with disabilities, with essentially the same suitability and qualification, will be preferred. As you apply for a position at the Technical University of Munich (TUM), you provide personal data. Please note our data protection information according to Art. 13 Data Protection Basic Regulation (DSGVO) on the collection and processing of personal data in connection with your application http://go.tum.de/554159. By submitting your application, you confirm that you have taken note of the data protection information of the TUM.

Technical University of Munich
Chair of Theoretical Information Technology
Prof. Holger Boche
Theresienstrasse 90, 80333 Munich
Munich, July 2019

The ELIOT project aims to study communication networks of interconnected devices that lie at the core of many key future technologies such as distributed control systems for autonomous vehicles, sensor networks for structural health monitoring and for smart cities. In addition to reliability, all these applications come with strict requirements in terms of: energy efficiency, security, latency and self-optimization capabilities, and demand for innovative enabling technologies. The 
emerging Internet of Things (IoT) paradigm, projected to connect billions of wireless "things" (wireless sensors, wearables, biochip transponders, etc.) in a vast network with drastically different characteristics among its components, has moved from being a futuristic vision to an increasing reality over the recent years.

This Post-Doctoral position involves the study of physical-layer algorithms such as transmit and receive beamforming, and coding schemes algorithms used in IoT networks taking into account the need for low power consumption and different requirements in latency and rate, and their use in conjunction with coarse quantization schemes.  In particular, the work involves the application to large-scale systems where robust transmit beamforming or precoders can be designed based on work done for robust beamforming with sensor arrays, robust techniques and resource allocation.

While joint coding/beamforming techniques have been available already for some time, the goal of this research is to develop novel robust beamforming methods that take into account the requirements of IoT networks equipped with multiple antennas and the use of coarse quantization.

Candidates should have a strong background on signal processing and telecommunications, particularly array processing and coding.  The scholarship includes funding for relocation to Sao Paulo.

This is a joint research project between the USP, (Brazil), PUC-Rio (Brazil) and ENSEA (France).  The researcher will be based at USP in Sao Paulo, but may spend periods also in PUC-Rio and ENSEA.

The Chair of Theoretical Information Technology at the Technical University of Munich has an immediate opening for a

Doctoral student; Postdoctoral student:
Hardware Demonstrator for Post Shannon Communication (E13 TVL) (f/m/d)

for the joint project "Post Shannon Communication," which is being funded by the Federal Ministry of Education and Research (BMBF). In this joint project, transmission systems that go beyond Shannon's communication approach are to be developed in order to achieve more efficient information transmission for selected applications. The position is initially limited to three years. An extension is possible.

Content of the project and areas of responsibility
▪ Construction of a hardware demonstrator
▪ Implementation of the developed transmission methods, to demonstrate the achievable gains of the new communication approach
▪ Publications and presentations of scientific results, teaching duties

Your qualifications
▪ Above-average university degree in electrical engineering, communications engineering, physics (or similar)
▪ Interest in hardware-related development and thorough knowledge of communications engineering
▪ Software: MATLAB (experience with FPGA programming and LabVIEW desirable)
▪ Familiarity with measuring instruments (oscilloscope, spectrum analyzer, etc.)
▪ Goal-oriented, independent and structured work style

Our offer
▪ Current research topic in a challenging international working environment
▪ Full-time position (E13 TVL) with the possibility of earning a doctoral degree

To apply
Please send us your application by e-mail (jobs.lti@ei.tum.de) with the following documents:
▪ Curriculum vitae, copies of relevant certificates and diplomas, contact information for two references
▪ Short description of your research interests and your motivation for the application
▪ Master thesis and (if available) up to 3 publications

Application deadline: July 4, 2019
For further information see: https://www.lti.ei.tum.de/en/jobs

General Information
TUM is aiming to increase the number of women employees, and applications from women are expressly welcomed. People with disabilities, with essentially the same suitability and qualification, will be preferred. As you apply for a position at the Technical University of Munich (TUM), you provide personal data. Please note our data protection information according to Art. 13 Data Protection Basic Regulation (DSGVO) on the collection and processing of personal data in connection with your application http://go.tum.de/554159. By submitting your application, you confirm that you have taken note of the data protection information of the TUM.

Technical University of Munich
Chair of Theoretical Information Technology
Prof. Holger Boche
Theresienstrasse 90, 80333 Munich
Munich, June 2019

We have an open position for PhD student in area of PHY/MAC layer targeting low latency IoT applications. The research will be carried out in the Communication Systems and Network group at Mid Sweden University.

The applicants should meet following criteria:

- Hold M.Sc. degree in Electrical engineering, Signal Processing, Engineering Mathematics, Computer science, or similar domain

- Excellent written and communication skills

- Strong mathematical background

- Background in wireless communications, signal processing, and optimization is welcome

Deadline for submitting your application is June 16, 2019. More information about the position and application procedure is found here: https://www.miun.se/en/meet-mid-sweden-university/career/jobs/vacancy/phd-student-in-computer-and-system-science/

Best regards,

Prof. Mikael Gidlund

We have 2 PhD Positions open in Distributed Statistical Learning in IoT with Adversarial Environments

Job Description

In the emerging paradigms of cyberphysical systems (CPS) and internet-of-things (IoT), large quantities of data are constantly collected by numerous sensors that are often geographically dispersed or, to make the matters even more challenging, mobile. This makes concentrating the data at a central processing hub unfeasible due to constraints imposed on the network infrastructure, e.g., the energy budgets of the sensors, as well as the capacity of the communication channels, and security requirements. Thus, distributed processing of data over networks of machines/agents is essential for solving inference problems related to many CPS/IoT-based applications.

Current methods for distributed inference and learning are not adapted for operation in IoT systems with malicious adversaries, vulnerable to data falsification and susceptible to privacy leakage. The goal of this project is to develop distributed signal processing and machine learning algorithms that preserve privacy and are resilient to malicious disturbances, while still maintaining the operational goal of the IoT system, i.e., to effectively convert the data collected by myriads of agents/sensors into actionable intelligence.

Qualification requirements

 We seek two highly-motivated individuals who have

• strong background in mathematics and signal processing, and a research-oriented master thesis in a related field, e.g., statistical signal processing, information theory, statistical machine learning, multi-agent networked systems, applied mathematics, or optimization
• experience with programming
• good written and oral English language skills

Publication activities in the aforementioned disciplines will be considered an advantage but is not a requirement.

Salary and conditions

PhD candidates are remunerated in code 1017, and are normally remunerated at gross from NOK 449 400 before tax per year. From the salary, 2 % is deducted as a contribution to the Norwegian Public Service Pension Fund.

Application submission

For more information on the application submission and a detailed list of required documents, please follow the link Distributed Learning in IoT with Adversarial Environments.

PhD-student positions (\approx 3 years) and Postdoc positions (1-->5 years) available for research in Wireless Communications, Information Theory, Edge and Distributed Computing, Caching.  EURECOM is located in the French Riviera's silicon valley and is an English speaking Graduate school. 

To apply, please email complete CV to Petros Elia: petros.elia[at]eurecom.fr (http://www.eurecom.fr/~elia/)
indicating "ERC DUALITY position” in the e-mail subject line.
Deadline for applications: April 2019.
Advantages include competitive salary and strong social benefits, and extra funding to promote collaboration with top universities in the US and Europe.