mitacs undergrad/grad/postdoc internship

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http://vidhoon.wordpress.com/2010/09/06 ... l-writeup/

[quote]Research Intern at University of Victoria,Canada : Non-Technical Writeup

Over 600 million passenger cars travel on the streets and roads around the world today.The average time spent by a person driving or riding is 2 hours and 52 minutes per day.The rate of growth of the passenger car population is projected between 3–6 percent in the coming years. All these statistics intensified the need for the development of Vehicular Networks, a means of communication and information sharing between the vehicles on the move.

When calculated, the significance of the data that can be gathered while a person is on the move is quite astonishing. And the effect of sharing this amount of data among the other vehicles around is mind blowing! The tides created by these effects push us towards the shore of inter-vehicular communications.

The very thought of sharing information on the move opens the door to a large pool of applications based on safety and business needs. You want to escape a traffic jam? You want to enjoy high-speed Internet on the move? You want to find a parking space just like that? If these questions erupt butterflies within your stomach then I have something to feed those butterflies. Those days are not far away! Let us examine different kinds of applications that arise from the roots of Vehicular Networks first.

One fine day, I am going on a highway and all of the sudden a car on opposite lane looses control and overturns. It would be helpful if I could call an ambulance while I concentrate on driving. It would be even better if I could tell the other vehicles to slow down in order to avoid a pile-up crash. This particular case gives rise to emergency message dissemination
applications.

Another fine day, I am going by car to airport in order to catch a flight for Toronto. But due to the heavy traffic it seems that I would likely miss my scheduled flight. It would be great if I was able to reschedule my trip by connecting to the Internet on the move. It would be very helpful if I get to know the density of the traffic along each possible route to my destination, so that we can choose the best path. This scenario leads to the category of smart traveler services and traffic information services.

Now having a clear idea of the scope and the diverse range of applications that branch out of Vehicular Networks, let us move onto some other important aspects of this promising field of sciences and engineering. Vehiclular Netowrks are rapidly dynamic in nature.

Hence we bring them under the ad-hoc class and label them as “Vehicular Ad-hoc Networksâ€

[pan]

http://www.mitacs.ca/globalink/program-guide

Quick facts about Mitacs Globalink

• Each undergraduate student undertakes a 12-week research project with one of Canada’s top researchers

• Each undergraduate student receives a stipend that covers the following expenses: airfare, accommodation, visa, medical insurance and living costs

• Mitacs handles arrangements related to research internship, housing, professional training and industry networking

Students can expect to:

• Be part of a world-class research project. Nearly 50% of Globalink students have published or have plans to publish their research in peer-review journals

• Meet business leaders from some of Canada’s most dynamic and cutting-edge industries including digital media, green technology, biotechnology, information and communication technology, wireless technologies, and more

• Participate in a special networking events, industry tours, roundtables, and presentations from Canadian leaders and entrepreneurs

• Take part in professional skills training workshops featuring an interactive setting that helps build skills in teamwork, presentation skills, project management and entrepreneurship

• Interact extensively with Canadian and international students both on and off campus

http://www.mitacs.ca/globalink/upcoming-deadlines

September 2011 Student application system opens for Globalink 2012

October 14, 2011 Student application system closes

http://www.mitacs.ca/globalink/faq

Frequently Asked globalink Questions

Is the program open to students beyond India?

Yes, in 2011 we expanded the program to include students from China and Brazil. We continue to explore expansion opportunities in new geographies

[pan]

"The student call for applications for Globalink Research Internships is now open. To access the list of eligible projects, please visit our online database at https://globalink.mitacs.ca/. The deadline to apply is September 20, 2016, at 4:00 PM Pacific Daylight Time (PDT).

The Globalink Research Internship offers a 12-week research project at Canadian universities for high-achieving senior undergraduates from Australia, Brazil, China, France, Germany, India, Mexico, Saudi Arabia, and Tunisia. Starting May 2017, approved students travel to Canada, where they work with a faculty supervisor and other researchers at their host universities.

Interns receive:
Stipend for living expenses
Professional development workshops
Local Globalink Mentors

For more information visit the Globalink Research Internships web page."

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summer 2017 projects:

Project Title: Topology Control in Vehicular Ad Hoc Networks
Number of Openings: 1
Language of internship: English
Project Description: This is a continuation of our research projects on Vehicular Ad Hoc Networks (VANET), which have involved MITACS Globalink intern students in Summer 2010 [1] and 2011 [2]. https://vidhoon.wordpress.com/category/ ... tern-2010/ Our research group has greatly advanced the research project since then too. Vehicular networks, in either vehicle-to-vehicle (V2V) or vehicle-to-infrastructure (V2I) forms, have the potential to considerably improve road safety, travel comfort and trip efficiency, and have attracted a lot of attention from both industry and academia in the last few years. Due to the high mobility and short contact time, vehicular networks have also brought many new challenges to traditional network protocols designed for the Internet or other mobile ad hoc networks, since vehicular networks have to support various time and location-critical applications such as emergency message dissemination and location-based services. Our research focuses on the topology control, due to the high mobility and short contact time in vehicular networks, and its impact on the media access control, routing and forwarding protocols. We study the topology control in both V2V (e.g., vehicle platoons) and V2I (e.g., drive-thru Internet) scenarios. We also study how to use vehicle mobility and inter-vehicle cooperation to further improve the network performance. The research involves protocol design, modeling and analysis, simulation and emulation, and system prototyping. The MITACS intern student will mainly focus on simulation and simple prototyping. For more information about the research projects, the related projects and the experience of the former MITACS interns, please refer to http://web.uvic.ca/~pan and the references therein.

[1] Y. Zhuang, J. Pan, V. Viswanathan, and L. Cai, "On the Uplink MAC Performance of A Drive-Thru Internet," IEEE Transactions on Vehicular Technology, vol. 61, no. 4, pp. 1925--1935, May 2012.
[2] L. Zhang, Y. Zhuang, J. Pan, L. Kaur, and H. Zhu. "Multi-Modal Message Dissemination in Vehicular Ad-Hoc Networks," in Proc. 1st IEEE International Communication Conference in China (ICCC'12), Beijing, China, August 2012.

Project Title: Application of Geometrical Probability in Wireless Networks
Number of Openings: 1
Language of internship: English
Project Description: In a wireless network where the wireless devices are randomly deployed according to a certain distribution (e.g., in a sensor network or cellular network), the locations of and the distances among devices play significant roles in determining the performance metrics of the network and designing protocols for the network. For example, in our previous work, the energy consumption in sensor networks [1], the path loss, interference, and capacity in wireless communication networks [2], the next nearest node of a mobile data collector [3] or charger [4] in wireless ad hoc networks are all dependent on the probabilistic models based on the distance distributions between two random nodes in the network. The model can significantly benefit the network protocol design and performance analysis by providing accurate statistical information. We have obtained a series of results about the distance distributions for the network with nodes independently and uniformly distributed in a specified topology, such as the distribution of the distances from an arbitrary reference point to a random point [5] and between two random points [6] (more results can be found in http://webhome.cs.uvic.ca/~pan/publication/). The MITACS intern student will mainly focus on the application of these results to the network protocol design and performance evaluation by identifying and formulating appropriate application scenarios.

Project Title: Network-aware VM Consolidation in Cloud Computing
Number of Openings: 1
Language of internship: English
Project Description: Cloud computing changes the way we build large-scale network services. It improves the overall system efficiency and lowers the cost of service providers through exploiting the elasticity and multiplexing introduced by the virtualization technology. To maximize the benefit out of it, many components in the system can be optimized or improved, which raises many problems to be solved theoretically and practically. VM consolidation is one of the fundamental problems, which is about how to consolidate multiple Virtual Machines (VMs) into one Physical Machine (PM). Different policies of VM consolidation would result in different system performance, such as the overall or individual running time of user tasks, as well as the system running cost. The problem attracted much research attention in the past few years and machine resources such as CPU, memory and disk are commonly considered constraints in the scheme design. Meanwhile, the limited network resources can also have a large impact on the practical performance and deserve further attention in the design, because different tasks or VMs would also compete on the network resource. For example, for a traffic-intensive task involving two VMs, it would be better to place them in the same PM, which avoids the intensive traffic injected into the data center network by them otherwise. In this project, we would study how to design a better VM consolidation scheme with these network-related factors considered. The research involves measurement, modeling, analysis, simulation, and system prototyping.

Project Title: Real-time Spectrum Analysis for the Estimation of Channel Load in WLANs
Number of Openings: 1
Language of internship: English
Project Description: This research is an extension of an ongoing research project on the construction of agile Wi-Fi mesh networks. Nowadays, Wi-Fi Local Area Networks (WLANs) play pivotal roles in connecting people to the Internet. Chaotic deployment of WLANs in dense areas is one of the common issues for many Wi-Fi users that degrades the quality of service and impedes the balanced distribution of bandwidth among the users. One of the popular solutions to alleviate this problem is using orthogonal channels for the neighbor WLANs. Since the number of orthogonal channels is limited, using this solution through either static or random channel assignment does not guarantee the network performance in a long term. In this project, we intend to utilize the channel status information (acquired from physical layer) for estimating the activities of Wi-Fi channels over a long period of time. All these data can be obtained by dynamic spectrum sensing and will be stored in a database. Analysis of the stored data through adaptive learning and data mining techniques empowers us to determine the best channel candidates for each WLAN at a particular time interval. Our research is concentrated on sensing, extracting features, storing and analyzing of Wi-Fi signals to promote the quality of service for the Wi-Fi stations through the dynamic channel assignment of WLANs. The research involves modeling, system design and simple system prototyping. Relevant research publication involving former Mitacs Globalink students: Soumya Basu (Mitacs Globalink 2013 intern student), Maryam Ahmadi, Minming Ni, and Jianping Pan, ``Locating primary users in cognitive radio networks by Generalized Method of Moments," IEEE GLOBECOM'14, 2014.

Project Title: Evaluating the Resilience of Software-Defined Networking Architectures and Controllers
Number of Openings: 1
Language of internship: English
Project Description: This research is inline with an ongoing research project on resilience analysis of Software-Defined Networking (SDN) architectures. SDN as an emerging networking paradigm, provides network programmability and decouples the control and data plane of the networks. SDN offers salient features such as simplified and (logically) centralized management and control, reduced complexity and accelerated innovation. However, SDN introduces new challenges that should be addressed properly in order to benefit from its unprecedented capabilities. Due to the centralized control in SDN, the control plane has a great impact on the functioning of the whole system. Particularly, the resilience of the control plane is of utmost importance. Any malfunction or failure in the control plane and its interfaces with the data forwarding plane may result in devastating effects on the correct operation of the entire network. Thus the design, analysis, implementation and evaluation of the resilient SDN architectures and controllers is a hot topic in both the academic and industrial research communities. The MITACS intern student will mainly focus on investigating and analyzing the resilience of well-known existing controller software (e.g., Floodlight, OpenDaylight, and so on) by carrying out different tests (using the available Python-based APIs) regarding the controller failure detection and recovery in Mininet as a network emulator. Various performance measures can be evaluated for different controller products. Moreover, providing a report of the resilience features of OpenFlow as the standardized protocol for the communication between the control plane and data plane as well as running some experiments to test them would be helpful. For more information about the ongoing research projects and the experience of the former MITACS interns, please refer to http://web.uvic.ca/~pan

previous projects and interns: http://www.cs.uvic.ca/~pan/teaching/

[pan]

https://www.mitacs.ca/en/programs/globa ... internship

The call for student applications for the summer of 2020 is now open!

The application deadline is Wednesday September 18, 2019 at 1pm PT. To apply, please visit the Globalink Research Internship 2020 Application Platform here.

The Mitacs Globalink Research Internship is a competitive initiative for international undergraduates from the following countries and regions: Australia, Brazil, China, France, Germany, Hong Kong SAR, India, Mexico, Tunisia, United Kingdom, and Ukraine. From May to October of each year, top-ranked applicants participate in a 12-week research internship under the supervision of Canadian university faculty members in a variety of academic disciplines, from science, engineering and mathematics to the humanities and social sciences.

Mitacs Globalink Research Internships are currently available at over 45 universities across Canada. For more information, please click on "Information for Students" to see the list of universities hosting Globalink interns in 2019.

Globalink Research Internship alumni interested in returning to Canada for graduate studies are eligible for the Globalink Graduate Fellowship.​

[pan]

new projects

Enhancing Large-scale Machine Learning by Highly-efficient Intelligent Networks

Machine learning (ML) has demonstrated its incredible ability to solve complex tasks. Especially with the advent of deep neural networks, today's models are comparable to human brains in solving some certain tasks, e.g., image processing, language translation and playing strategic games such as Chess or Go [1]. It can be expected that ML will be an indispensable part of future intelligent networks such as vehicular ad hoc networks (VANET), Internet of Things (IoT) and 5G networks. On the other hand, the development of intelligent networks also opens up unique opportunities to enhance ML [2]. For example, with millions of devices (or vehicles) connected, it is possible to train a large-scale ML model in a distributed way to reduce training cost and improve efficiency. However, designing such intelligent networks to train ML models can be very challenging. First, as the devices may have limited memory, storage and computation capabilities, and restricted energy, no single device can train the whole ML models. Second, the bandwidth is limited and communication of million devices can result in congestion and delay. Third, the privacy of each device should be protected, as devices may not want to disclose their own data. In this project, we are motivated to design novel intelligent network structures and their corresponding large-scale ML algorithms that can be trained and run on devices with lower costs, more efficient communication, and stronger privacy protection. [1] Kairouz P, McMahan H B, Avent B, et al. Advances and open problems in federated learning. arXiv preprint arXiv:1912.04977, 2019. [2] Agarwal N, Suresh A T, Yu F X, et al. cpSGD: Communication-efficient and differentially-private distributed SGD. Advances in Neural Information Processing Systems. 2018: 7564-7575.

and

Caching for Low Latency in Erasure-Coded Cloud Storage Systems

Erasure codes have been widely used in cloud storage systems to enhance data durability at a lower storage overhead. With a generator matrix, erasure codes split each data item into equal sized K data chunks and R redundant chunks. These coded chunks are placed at various sites to achieve R-fault tolerance as the original data item can be reconstructed from any K out of K + R chunks. Unfortunately, erasure codes may incur high data access latency especially in cloud storage systems since 1) end users need to contact multiple remote storage nodes to access data, and 2) data reconstruction with redundant chunks introduces extra computation overheads and latency to handle data read requests. In cloud storage systems, data caching has received significant attention in recent years. By placing popular data items in proximity to end users, the caching service can reduce the data access traffic and latency. Nevertheless, the application of caching faces critical challenges in the cloud storage systems with erasure codes. As data items are coded into data chunks and redundant chunks, the caching scheme should determine 1) which data items to cache, and 2) how many chunks to cache for the selected data items to minimize the data access latency? Traditional caching schemes at the data item level may not enjoy the full benefits of caching. In this project, we would study how to design a better caching scheme for the cloud storage system. The research involves protocol design, modeling and analysis, simulation and emulation, and system prototyping.

more at https://globalink.mitacs.ca/

[pan]

10 years of mitacs globalink: 2010

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https://vidhoon.wordpress.com/category/ ... tern-2010/

https://www.microsoft.com/en-us/researc ... -internet/

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2011

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2012:

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2013--15:

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2015--16:

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2016--17:

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2018--19:

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[pan]

https://www.mitacs.ca/en/programs/globa ... internship

The call for student applications for the summer of 2021 is now open. Apply by September 23, 2020 at 1 p.m. PT.

Mitacs Globalink Research Internship is a competitive initiative for international undergraduates from the following countries and regions: Australia, Brazil, China, France, Germany, Hong Kong, India, Mexico, Taiwan, Tunisia, Ukraine, United Kingdom and the United States. From May to October of each year, top-ranked applicants participate in a 12-week research internship under the supervision of Canadian university faculty members in a variety of academic disciplines, from science, engineering and mathematics to the humanities and social sciences.

PT = pacific (daylight saving) time, i.e., gmt-7 now

[pan]

they haven't met in person yet, but will soon online

[pan]

in&out