Signal Processing for Communications and Networking

The Faculty of Information Technology and Electrical Engineering, at the Norwegian University of Science and Technology (NTNU) has two (2) PhD Research Fellow vacancies at the Department of Electronic Systems (IES).

Each of the PhD positions is for up to 4 years with 25% work assignments for NTNU IES.

Project Description

The pervasion of the Internet of Things (IoT) which connects numerous sensors, actuators, appliances, vehicles etc., will have a strong impact on the evolution of smarter and greener cities as well as on environmental monitoring. A basic tenet underlying all key functionalities of the IoT is situational awareness, i.e., the ability to capture events and derive accurate, critical information to facilitate decision making for timely actions in a heterogeneous and highly dynamic environment. The scale and largely interconnected nature of IoT, together with the stringent requirements on low energy and limited hardware, pose severe challenges to security. The network of IoT is vulnerable to various forms of man-made intrusion or natural disruption. For example, an adversary may gain full control over a subset of the devices, and maliciously alter the reported measurements. This calls for an intelligent infrastructure that is autonomous, dependable, and resilient to natural or man-made disturbances. To ensure that the IoTs operate effectively, we need to take a holistic approach to designing secure sensor networks with resource-efficient functional algorithms starting with sensing, followed by data processing and communication to ensure reliable decision making for long long-lasting, secure, and dependable services.

The PhD projects will be around developing and analyzing new efficient distributed detection, estimation and (machine) learning schemes to improve data quality and security of the physical-layer signals in IoT. The aim is to go beyond the state-of-the-art solutions and take a holistic approach encompassing intelligent sensors, smart inference, and secure two-way communication among all the devices in the network.

The application

More information and for the application submission, please click this link. Please submit an application letter describing your motivation, relevant experience, skills and qualifications, and a brief research vision for the position (maximum 2 pages) along with a CV, publication list, letters of reference and proof of fluency in the English language (if applicable) and certificates from both Bachelor and Master degrees.

Applicants are kindly requested to send a diploma supplement or a similar document, which describes in detail the study and grading system and the rights for further studies associated with the obtained degree.
Incomplete applications will not be taken into consideration

Formalities

The appointment is made in accordance with the regulations of employment for PhD candidates issued by the Ministry of Education and Research, with relevant parts of the additional guidelines for appointment as a PhD candidate at NTNU. Applicants must participate in an organized PhD programme of study during their period of employment. The candidate appointed must comply with the regulations for employees in the public sector. In addition, a contract will be signed regarding the period of employment.

Applicants must be qualified for admission to a PhD study program at NTNU. See http://www.ntnu.no/ie/forskning/phd for information about PhD studies at NTNU.

We can offer

• an informal and friendly workplace with dedicated colleagues
• academic challenges in a cross-disciplinary team
• attractive schemes for home loans, insurance and pensions through the Norwegian Public Service Pension Fund

Depending on qualifications and academic background, PhD Candidates (in code 1017) at the Faculty of Information Technology and Electrical Engineering will be remunerated at a minimum of NOK 436 500 per year before tax. Normal wage level is NOK 436 500 of which 2% is deducted for the Norwegian Public Service Pension Fund. The appointment is subject to the conditions in effect at any time for employees in the public sector.

The Faculty of Information Technology and Electrical Engineering, at the Norwegian University of Science and Technology (NTNU) has one Postdoctoral Research vacancy at the Department of Electronic Systems (IES). The postdoctoral position is for two (2) years.

Project Description

In Internet-of-things (IoT), as sensing and estimation becomes more distributed, sensors/estimators will need to communicate with each other and other entities in the network to obtain an accurate picture of the system being observed. In a distributed IoT/wireless sensor network, the sensor nodes share their observations with the neighboring nodes and cooperate to enhance the accuracy of the inference. As the number of sensors increases, the amount of data that will be stored, processed and communicated increases dramatically so that system throughput and latency will not be adequate to ensure reliable and secure operation. In this project we are particularly interested in the development of new methods and algorithms that enable frugal usage of energy by the sensors, that can effectively convert the data collected by myriads of sensors into actionable intelligence, and that are robust and resilient to malfunctioning sensors or malicious disturbance.

The candidate will conduct research together with personnel in the group of Prof. Stefan Werner, as well as researchers connected to the NTNU Internet-of-things lab. Preference will be given to candidates who can work independently and have a strong potential to build competence and guide students within the following research areas:

1. Decentralized statistical learning for energy-efficient sensor networks in IoT
2. Graph signal processing in IoT
3. Distributed optimization with applications to IoT/wireless sensor networks

We search for candidates with keen interests in these tasks, and those with the best qualifications will be invited for an interview.

Qualifications

The candidate is expected to be able to work independently, have a solid mathematical background and a PhD in statistical signal processing, applied mathematics, statistics or machine learning, wireless sensor networks, electrical engineering, or related field. Good command in English language (spoken and written) is a prerequisite. An eligible candidate should have submitted the PhD thesis for assessment by the application deadline.

The application

More information and for the application submission, please click this link. The following documents need to be attached in the application:

• A brief research statement, describing the candidate’s research interests and plans, and publication plan (maximum 3 pages in total)
• CV as PDF including a full list of publications with bibliographical references Indicate the most important publications that are relevant for the evaluation of the applicant’s qualifications (maximum 10 publications).
• Testimonials and certificates
• Other documents which the applicant would find relevant

Incomplete applications will not be taken into consideration.

We can offer

• an informal and friendly workplace with dedicated colleagues
• academic challenges in a cross-disciplinary team
• attractive schemes for home loans, insurance and pensions through the Norwegian Public Service Pension Fund

For further information about the position, contact Professor Stefan Werner, email: stefan.werner@ntnu.no

Depending on qualifications and academic background, postdoctoral fellows (1352) will be remunerated at a minimum of NOK 490 500 per year before tax and the position as. There will be a 2 % deduction to the Norwegian Public Service Pension Fund from gross wage. The appointment is subject to the conditions in effect at any time for employees in the public sector.

PhD Position for Signal Processing for Energy Harvesting Sensor Networks

Project  Description
In recent years, energy harvesting (EH) solutions have become an emerging paradigm for powering up future wireless sensing systems. As such, energy harvesting constitutes a key enabling technology for Internet-of-Things (IoT) applications and Wireless Sensor Networks (WSN) including smart homes and smart factories. This position focuses on providing signal processing solutions for such energy harvesting wireless sensor networks. Modern machine learning techniques and optimization approaches will be important ingredients of the work.

Position Description
This is a full-time position where you will be employed by Uppsala University. Your main responsibility will be to pursue your own doctoral studies. The PhD position is for four years, extendable to a maximum of five years, including departmental duties at a level of at most 20% (typically teaching).

Requirements
A Bachelor’s or Master’s degree in Electrical Engineering or equivalent with basic skills in signals and systems and signal processing and a will to learn about energy harvesting WSN. It is desirable but not necessary to have some background in wireless communications and/or automatic control. The successful applicant is expected to have a strong collaborative spirit and good communication skills in oral and written English.

Application deadline: 15 February 2018

More information and application instructions:
https://www.uu.se/en/about-uu/join-us/details/?positionId=186914

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ParisTech is one of France’s best grandes écoles and the leading institution in communication systems. Undergraduate students are admitted through a highly selective national entrance examination exam. The position ("Maître de Conférences") is equivalent to a tenured assistant professorship. Particular interest is in candidates with a multidisciplinary research orientation broadly related to the area of data transmission and processing. Applications from candidates specializing in areas related to coding or optimization are particularly encouraged. Priority will be given to the overall innovation, originality, and promise of the candidate’s work. An earned Ph.D., the ability to pursue a research program, and a strong teaching commitment to both graduate and undergraduate levels are required. Applications received by February 28th 2018 will be given full consideration. They should include a cover letter, a detailed resume, three representative publications, a statement of research (max. 3 pages), a statement of teaching (max. 2 pages), and the names and email addresses of three references. Applications can be written in English or in French. Applications should be emailed to Direction of Human Resources Email: recrutement@telecom-paristech.fr  and to Professor Philippe Ciblat (Group Leader) Email: philippe.ciblat@telecom-paristech.fr

Telecom ParisTech is seeking applicants for a faculty position in the Digital Communications Group of the Communications and Electronics Department (for further information, www.comelec.telecom-paristech.fr/en/comnum-group-digital-communications…) Telecom ParisTech is one of France's best Grandes Ecoles and the leading institution in communication systems. Undergraduate students are admitted through a highly selective national entrance examination exam.

The position ("Maître de Conférences") is equivalent to a tenured assistant professorship. Particular interest is in candidates  with a multidisciplinary research orientation broadly related to the area of data transmission and processing. Applications from candidates specializing in areas related to coding or optimization are particularly encouraged. Priority will be given to the overall innovation, originality, and promise of the candidate's work.

An earned Ph.D., the ability to pursue a research program, and a strong teaching commitment to both graduate and undergraduate  levels are required.

Applications received by February 28th 2018 will be given full consideration. They should include a cover letter, a detailed resume, three representative publications, a statement of research (max. 3 pages), a statement of teaching (max. 2 pages), and the names and email addresses of three references.
Applications can be written in English or in French.

Applications should be emailed to

• Direction of Human Resources (recrutement@telecom-paristech.fr)
• Professor Philippe Ciblat (Group Leader) (philippe.ciblat@telecom-paristech.fr)

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

The Communication Systems and Networks (CSN) (https://www.miun.se/en/stc-research-centre/Research-Groups/communication-systems-and-networks/) group at Mid-Sweden University offers one post-doctoral position in the areas of low-power wireless communication and networking for IoT and one in low latency communication for future wireless networks . The CSN group belongs to the research center Sensible Things that Communicate, which is one of the leading research centers in Sweden in the area of sensor networks and systems.

The positions is for one year with possibility to extension depending on funding. The positions are based in Sundsvall. Candidates should have a PhD in computer science, computer engineering, electrical engineering, Signal processing, or related areas, and a track record of publications in high-quality journals and/or conferences. Strong mathematical background in optimization and statistics is necessary. Good written/oral communication skills in English, and ability to work effectively in a collaborative team, are required. Skills and experience in both analytical and empirical research are highly desirable. Experience with low rate devices like IEEE 802.15.4, NB-IoT, PHY waveforms and standards, and RRM techniques for dense massive networks is advantageous.

For more information about the positions and how to apply is given here:

https://www.miun.se/en/meet-mid-sweden-university/career/jobs/vacancy/postdoctor/                        

https://www.miun.se/en/meet-mid-sweden-university/career/jobs/vacancy/postdoctor2/                     

Last day to reply is December 31^th, 2017.

The George Washington University

Department of Electrical & Computer Engineering

Faculty Positions in Nanotechnology, Communications, and Signal and Image Processing

The Department of Electrical and Computer Engineering (ECE) at the George Washington University (GWU) invites applications for three tenured or tenure-track faculty appointments starting in Fall 2018, in the broad areas of nanotechnology, communications, and signal and image processing, respectively. Appointments for the nanotechnology position will be made at any rank, and appointments for the other two positions will be at the rank of Assistant or Associate Professor.

All applicants must have an earned doctorate in Electrical Engineering, Computer Engineering, or a relevant discipline at the time of appointment. They must demonstrate a solid publication record, and must have established or exhibit the potential to establish a strong, externally sponsored research program, commensurate with the rank they are seeking. A commitment to excellence in teaching at both undergraduate and graduate levels is also required.

Applicants for the nanotechnology position must additionally have demonstrated the effective use of clean room facilities as an integral part of their research and a track-record of experimental research in nanotechnology.

The GW School of Engineering and Applied Science (SEAS) has experienced significant research growth in the last ten years. The ECE department is recognized for its outstanding educational programs and world-class research, and is housed in the new 500,000 sq. foot Science and Engineering Hall consisting of state-of-the-art laboratory and instructional facilities. The University has also made substantial investments in a new state-of-the-art Class 100 nano-fabrication and electron microscopy facility (https://nic.gwu.edu/). GW is located in the nation’s capital with close access to many federal funding agencies and government research laboratories. More information about the department and the Science & Engineering Hall are available at http://www.ece.seas.gwu.edu/ and https://seh.gwu.edu/, respectively.

To apply, complete the online application at:

(a) http://www.gwu.jobs/postings/47225 for the nanotechnology position

(b) http://www.gwu.jobs/postings/47261 for the communications position

(c) http://www.gwu.jobs/postings/47236 for the signal and image processing position

A cover letter indicating your primary area(s) of expertise and desired rank, a detailed CV, concise statements on teaching and research, and full contact information for four professional references are required. Only complete applications will be considered. Review of applications will begin on December 1, 2017 and will continue until the position is filled.

Employment offers are contingent on the satisfactory outcome of a standard background screening. The university is an Equal Employment Opportunity/Affirmative Action Employer that does not unlawfully discriminate in any of its programs or activities on the basis of race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, gender identity or expression, or on any other basis prohibited by applicable law.

Dear colleagues,

We have opened a postdoctoral position in the area of 5G wireless communication systems, focusing on the modeling and the design of innovative function for managing network resources in 5G network slicing.

CEA LETI

CEA-Leti, one of the three advanced-research institutes within CEA Tech, is focusing on creating value and innovation through technology transfer to its industrial partners. It is specialized in nanotechnologies and their applications, from wireless devices and systems, to biology, healthcare and photonics. With a staff of more than 1,900, Leti is based in Grenoble, France, and has offices in Silicon Valley, California, and Tokyo.

Located in Grenoble at the heart of the MINATEC Campus, the wireless broadband systems laboratory (LSHD) is conducting cutting-edge research in wireless communications for broadband and 5G systems, including advanced channel coding and modulation, transceiver design, access control protocols, and radio and network resource management. Its activities cover a large spectrum, from the specification, simulation and characterization, to the design of both SW and HW components for wireless communications.

As part of these activities, a postdoctoral position is open in the area of 5G wireless communication systems.

Technical Context

To support different services within a common infrastructure, 5G architecture will natively implement the concept of network slicing. This concept enables one operator to deploy, on demand, multiple logical instantiations (i.e., a slice) of its physical network, each one implementing a specific set of functionalities fully dedicated to a specific service. In this evolution, network slicing will also allow different services to virtual mobile operators for accessing and sharing a common infrastructure, and adapt the network configuration to the individual use cases and services.

Although network functions and related computational, storage, and radio resources dedicated to a single slice are independently managed, shared network functions and resources have to be orchestrated in a way that accommodates the requirements of multiple services. Indeed, a new design paradigm is needed to allow specific inter-slice control and management functions.

In addition, the demand and traffic characteristic of each service may change significantly over time and space thus imposing the challenge of providing sufficient resources where and when they are needed. Being able to simultaneously and efficiently provide multiple service with a single 5G network is a key goal to optimize the infrastructure sizing and the network operations in a cost efficient way.

This flexibility has been traditionally implemented in the context of communication resources, where the network gracefully down-grades the quality for all users if its communication resources (e.g., spectrum) are insufficient. In this framework, the concept of resource orchestration needs to be expanded to consider computational and storage resources together with radio resources.

Description of the Work

The objectives of this postdoc are as follows:

• Study the optimal integration strategy for mobile networks and cloud computing services in future 5G networks.
• Investigate the fundamental trade-offs that determine the axes of optimization of the proposed integrated mobile networks and cloud computing. We will accurately model the behavior of the system, consumed resources (like energy, storage, and processing), and performance (such as latency, coverage, and data rate).
• Propose accurate modelling and management strategies based on mathematical tools (e.g., machine learning, reinforcement learning, Markov decision process, stochastic programming) to improve the resource usage and enhance the user Quality of Experience.
• Contribute to the integration of the proposed solutions in a realistic testbed.
• Achieve a strong scientific dissemination though publications and patents.

The research will be conducted in the framework of H2020 European projects. The start date for the job position is June 2017.

Applicant Profile

• Academic excellence – PhD in wireless communications, with a strong record of publications in major international journals and conferences;
• Excellent knowledge of 4G/beyond 4G cellular networks;
• Solid mathematical background with a focus on some of the following aspects: reinforcement learning, (partially observable) markov decision process, neural network, queuing theory, stochastic optimization, and resource allocation in heterogeneous networks;
• Excellent knowledge in Matlab and C/C++;
• Proficient in English (written and spoken), French is a plus;
• Excellent analytical and research skills, ability to work autonomously and as part of a team.

Contact Details

Applications should be sent by email to Antonio De Domenico (antonio.de-domenico@cea.fr) and Dimitri Kténas (dimitri.ktenas@cea.fr), including:

• A cover letter indicating the candidate's research interests;
• Detailed curriculum vitae, including a list of publications;
• Contact details of at least two referees.

PhD and Postdoc positions available,

- For research in Wireless Communication Networks, Signal Processing, Information Theory, and Caching.

- 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)

Positions are offered within the framework of the ERC Consolidator Grant
*DUALITY*: "Theoretical foundations of memory micro-insertions in wireless communications" (project starts in March 2017, and has duration 5+ years).

DUALITY  aims to lay the theoretical foundations of applying memory/caching in wireless communications networks. Subtopics may also include cloud-based communications, massive MIMO, mmWave, fundamentals of network information theory, and the complexity of information extraction in communications. Practical applications (simulations and validation in EURECOM's open-air interface hardware platform) may also be of interest.

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

Qualifications:
Applicants for a PhD position (3 years) must have an MSc, and must have a good background in the mathematics of telecommunications, and some background in information theory.

Applicants for a Post-Doctoral position (1,2 or 5 years) must have a Ph.D. in Electrical Engineering or Applied Mathematics/Stat, or related fields, and must have strong research in telecommunications (with emphasis on information theory, interference management, networking, caching, etc.), and academic excellence including publications in top journals and international  conferences.

Additional advantages:
- Competitive salary (PhD students receive approximately 2000 euros) and strong social benefits.
- Funding supports joint collaboration and travel to Yale University, USA and TU Berlin.
- 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 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.