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Jr. Assistant Professor

The University of Trento, Italy seeks candidates with significant accomplishments in any field related to Information and Communication Technology (ICT), who are committed to applying their research to the energy domain (e.g., smart buildings, smart grids, green computing, etc.).

The successful candidate for the position will be expected to have a strong publication record and the ability to work both independently and collaboratively. A proven record of participation in research projects and experience in teaching in English in graduate institutions is desirable. Knowledge of Italian is not a requirement. The University of Trento particularly welcomes applications from women candidates.

The Department offers two graduate courses (Computer Science and Telecommunications Engineering) and a Ph.D. school—all taught exclusively in English and designed for an international student audience—besides a double degree Master of Science program in ICT Innovation within the European Institute of Technology ICTLabs, of which Trento is a core partner.

The Department also offers three undergraduate courses, including a recently approved strategic initiative in cooperation with the Economics and Management Department to start a B.Sc. degree taught in English.

The successful candidate is expected to teach a course in one of these programs, based on previous expertise and background, and conduct research in the context of the Department of Information Engineering and Computer Science (DISI)

More information available here.

PhD Student Positions in Wireless Sensor Networks

The D3S group invites applications for two PhD positions in wireless sensor networks (WSNs). D3S is a cross-institution research group focusing on dynamic, decentralized, distributed systems.

In the context of WSNs, the D3S group has been particularly successful in bringing research results into real-world, long-term, operational deployments. Examples are the structural health monitoring of a medieval tower, and the closed-loop control of lighting in a road tunnel. The scientific results of these projects received the Best Paper Award at IPSN (both in 2009 and 2011) and the Mark Weiser Best Paper Award at PerCom 2012.

Other ongoing projects include: i) a project aimed at large-scale monitoring of the environment and the wildlife dwelling in it; ii) a cross-disciplinary project on smart spaces; iii) a follow-up project of the road tunnel deployment, investigating energy-harvesting devices and wireless actuation.

Although we emphasize real-world applications as a motivation and a concrete opportunity for the validation of our research, the latter is not limited to the immediate needs of WSN deployments. We perform a mix of curiosity-driven and application-driven research. The research challenges tackled by D3S span a broad set of topics, ranging from low-layer issues concerned with the characterization and design of communication protocols to higher-layer issues related with programming platforms and software architectures for WSNs.

New PhD students are invited to participate in ongoing projects to gain experience and insight into real systems, and to identify novel, challenging problems whose solutions break new grounds. The D3S group, and Trento at large, provide a fertile environment for high-quality research: two of our PhD students received the Best Ph.D. Thesis Award at the European Conference on Wireless Sensor Networks (EWSN) in 2009 and 2012.

More info about the positions here.

Post‐doc Position at University of Trento, Italy

The D3S group at the University of Trento,  Italy,  invites  applications for a post‐doctoral research position in wireless sensor networks (WSNs).

We are seeking a candidate to conduct research in the context  of a  funded  3‐year project, starting in 2014, aimed at large‐scale monitoring of the environment, and of the  wildlife  dwelling  in it.  To this end, the project employs a mixture of static and mobile (animal‐borne) WSN nodes, which are  used  in  synergy  with other  monitoring  technologies,  such as on‐board low‐resolution cameras and remote sensing.  As such, the project tackles several open research problems, for instance: protocols supporting opportunistic delivery of data (including camera snapshots)  from  the mobile WSN nodes; programming approaches enabling users to easily tailor the WSN to their application needs; models and  methodologies  guiding  the  integrated acquisition and use of the multi‐scale data provided by remote sensing and on‐ground WSNs.

The successful candidate is expected to propose  ideas  and  lead scientific efforts on the project research topics, and to coordinate the related activities of junior members of the team. The language of the research group is English.

D3S has a successful track of bringing research results into  real‐world,  long‐term,  operational  WSN deployments. Examples are the structural health monitoring of a  medieval  tower,  and  the closed‐loop  control of lighting in a road tunnel, which received Best Paper Awards at IPSN (2009 and 2011) and PerCom (2012).

The Department of Information Engineering and Computer Science is a leading and fast‐growing research institution, characterized by a young and international faculty and by a  large,  international student  population.   Indicators for scientific production place the department among the top in Europe. Trento is a vibrant  city with a beautifully preserved historic center, consistently ranked at the top for quality of life in Italy.  It offers a variety  of cultural and sports opportunities all year around, as well as excellent food and wine.

* Ph.D.  in  computer  science,  telecommunications,  or  related fields;
*  strong  programming  and systems skills: hands‐on knowledge of TinyOS and/or Contiki is very welcome, and so is experience  with building WSN in‐field deployments;
*  knowledge of WSN research: communication issues, MAC and routing protocols, programming platforms;
* good analytical, technical, and problem solving skills;
* good teamwork and organizational skills.

The position is intended to last 2 years  (with  an  intermediate evaluation  at  12  months)  and  can be extended. The indicative start date is February 2014, however other  start  times  can  be considered.

The deadline for applications is November 25, 2013.

Applications should contain, in a single PDF document:
* a cover letter stating the applicant’s research goals;
* a detailed CV including publication list;
* names and contact information for three references.

Applications should be sent via e‐mail (subject: “D3S postdoc application”) to gianpietro.picco(AT_symbol) For more information, please contact Prof. Gian Pietro Picco (gianpietro.picco(AT_symbol)

As a side note: Prof. Gian Pietro Picco is attending ACM SenSys in Rome next week, in case any candidate around wants to chat personally about the position and the project.

Cattle research with no strings (or wires) attached

CQUNIVERSITY is trying to combine new wireless sensor network technology with animal behaviour research to boost the reproductive efficiency of northern Australia’s beef cattle production.

Project leader Dr Dave Swain says there is a PhD student opportunity in this field, thanks to a new scholarship open for applications and underpinned by a partnership between Telstra and the university.

The Telstra-funded PhD student will work with Dr Swain to extend work that has been done to explore how remote, automated measures of social behaviour can be used as indicators of reproductive performance.

“The challenge for cattle producers is to be able to measure data that can be used improve cattle reproductive performance,” Dr Swain said.

“This PhD project will address a significant industry problem.”

CQUniversity spokeswoman Suzi Blair said Telstra had selected the university as a partner because it understood the enormous impact of research focused on specific regional problems, challenges and opportunities.

“Telstra is being visionary in backing our region through the provision of this scholarship, as research is a key to our future prosperity in CQ,” Ms Blair said.

“The establishment of the Telstra research scholarship represents a significant investment in the potential of the CQ region.

“It is great to see a major corporate backing our region in this way and providing financial support for the pursuit of new knowledge.”

Telstra representatives Lydia van Niekerk and John Llorente recently met CQUniversity deputy vice-chancellor Professor Hilary Winchester to hand over the first of three payments for the scholarship.

Prof Winchester thanked Telstra for the ongoing support and interest in CQUniversity.

“CQUniversity greatly values the deepening of our mutual relationship for the benefit of our region,” Prof Winchester said.

Anyone interested in applying for the PhD scholarship can contact Dr Swain at

PhD Student Position in Visual Sensor Networks

The KTH School of Electrical Engineering (EES) announces one PhD Student position in the area of visual sensor networks.

KTH in Stockholm is the largest and oldest technical university in Sweden. No less than one-third of Sweden’s technical research and engineering education capacity at university level is provided by KTH. Education and research spans from natural sciences to all branches of engineering and includes architecture, industrial management and urban planning. There are a total of just over 14,000 first and second level students and more than 1,700 doctoral students. KTH has almost 4,600 employees.

The School of Electrical Engineering conducts research and education in the fields of electrical engineering, systems engineering, information and communications theory, space and fusion plasma physics, and electrical power engineering. 380 people work in this creative and dynamic environment, out of which half are Ph.D. students, many from other countries. Our research projects are carried out in close collaboration with industry partners as well as with research colleagues from Sweden and other countries. The school is responsible for educating engineers in electrical engineering and offers six masters programs, which are in great demand and have a close connection to our main field.

The Laboratory for Communication Networks (LCN) at the School of Electrical Engineering conducts world class research in the field of computer networking, with a focus on networked system design, performance evaluation and security. Current areas that our research covers are sensor networks, multimedia communications, cloud computing, and mobile and vehicular communications. Members of the laboratory participate in several EU projects and collaborate with researchers at universities in Europe and in North America. Our graduates are highly sought after by the IT industry, and are employed at research labs and companies in Europe and in the U.S.

More info here.

Postdoc in Pervasive Computing (CSIRO, Australia)

For anyone looking for a postdoc position:

Three-year postdoc position in pervasive computing (CSIRO, Australia)

We are seeking a talented and dedicated recent PhD graduate to be part of the rapidly growing research program being undertaken by the CSIRO ICT Centre in Pervasive Computing.

Essential Criteria:
1. A strong background in context/situation modelling, pattern recognition and/or machine learning.

2. Analytical skills and ability to solve complex conceptual problems through the application of scientific and engineering principles.

3. Evidence of strong oral and written communication skills, including the ability to publish the results of scientific research in leading scientific journals and present research at international conferences.

4. Demonstrated ability to program in C or C++, experience with MATLAB (or similar) for data analysis.

5. Ability to foster positive working relationships and contribute effectively as part of a multidisciplinary team as well as sound judgment and the ability to act independently.

Desirable Criteria:

1. Demonstrated experience in pervasive healthcare applications and/or with application development on smart phones.

2. Demonstrated experience with multimedia signal processing or data mining in spatio-temporal data sets.

Location: Brisbane, Australia

Salary: AU$78K – $85K per annum plus up to 15.4% Superannuation (Pension Fund), ref: Q12/03217. Exchange rate: 1 AU$ = ~1.05 US$ (17/10/2012)

More information on this position is available here


6 paid internships in WSN at KU Leuven

Fall 2012 | 3–6 months research visit | Leuven high-tech region with world-class research institutes

Research internships

1. Benchmarking sensor middleware: you will develop reusable benchmarks to evaluate the energy  consumption of typical sensor middleware operations (e.g. install a component, configure a component, start/stop a component, interpret a policy, transmit/receive data). You will use these benchmarks to evaluate  the LooCI component model (
2. Energy-aware software engineering for WSN: you will investigate trade-offs and thresholds in the creation energy-efficient sensor applications. You will asses typical middleware operations (Where to deploy application software? What to deploy: a powerful component or a lightweight policy? When to execute a  reconfiguration?).
3. WSN operating systems: you will investigate how the Contiki sensor OS ( should  be re-imagined to support adaptable multi-application WSN infrastructures, in which energy, processing and memory resources are shared by multiple actors in a safe and controllable manner.
4. WSN software modeling: you will investigate how to interpret the run-time behavior of a WSN in the presence of continuous change (both within the system, and externally in the network); you will provide a domain-specific language to express application requirements and system reconfigurations (i.e. external
change) as well as of self-adaptive behaviour (i.e. internal change).

Engineering internships

5. A graphical management tool for sensor networks: you will design and develop a management dashboard that visualizes the current status of the sensor network (failed nodes, installed applications, network load); the tool must enable network administrators to monitor and configure a large-scale sensor network. You will
leverage on the LooCI component model (for easy software deployment and introspection) and the FAMOS monitoring tool (
6. LooCI on state-of-the-art robots: you will apply LooCI middleware to manage networks of robots. LooCI will be used to exchange management requests between robots, for example to install a new application, configure a software component, or redistribute tasks in case of overload. You will build a prototype that integrates LooCI with Orocos (, the widely-used open-source tool chain for robot control software.

Interested? Contact Prof. Danny Hughes: before June 15, 2012

More info here.