Dr. Faye Murrin, Dean pro tempore School of Graduate Studies
[email protected] 21st 2015
Optimize your chance of Success with NSERC*
PGS-CGS Doctoral
Today
1. Introduction to NSERC and NSERC Awards
2. Doctoral CGS/PGS Program
1. Application Process & deadlines
2. Tips on completing Form 201/200 : Online & Free form pages
1. see also http://www.mun.ca/sgs/current/funding/NSERC_Info_Sept15.pdf
3. Dr. John Hanchar
4. Mr. Matthew Lamont
What NSERC awards are available?
1. Undergrad student research award (USRA)
2. Canada Graduate Scholarships Master’s (CGS M) Award
3. Alexander Graham Bell Canada Graduate Scholarships (CGS D) and Post Graduate Scholarships (PGS D) Doctoral Award
4. Vanier Canada Graduate Scholarship (Vanier CGS D)
5. CGS Michael Smith Foreign Study Supplement
6. Industrial Postgraduate Scholarship (IPS)
7. NSERC Postdoctoral Fellowship
8. BANTING Postdoctoral Fellowship
Max total for one grad student - 4 years
Total = Master’s (1) + PhD support
CGS D Awards and PGS D Awards
CGS D $35,00
PGS D $21,000
for up to 36 months
Deadlines: where and when:
If you are presently registered at Memorial in a degree program:
Departmental deadline = ?
SGS deadline = Friday, Oct 16th
2015
NSERC deadline = Wednesday, Nov 25th 2015
If you were registered at another university in a degree program this year – that university!
If you were registered at a foreign university or not at all this year direct applications: October 15
Single application to PGS, tops awarded
CGS
Eligibility considerations
Only one Tri-Agency at a time/ one per year
for eligibility details http://www.nserc-crsng.gc.ca/NSERC-
CRSNG/Eligibility-Admissibilite/students-etudiants_eng.asp
Citizenship
To apply for NSERC CGS/PGS D support you must be:
A Canadian citizen or Permanent Resident of Canada
The following awards are also open to International students:
Vanier Canada Graduate Scholarships Program (Vanier CGS)
Visiting Fellowships in Canadian Government Laboratories (VF)
Collaborative Research and Training Experience (CREATE)
Banting Postdoctoral Fellowship
Area: Program of Study & Research
hold or expect to hold (at take-up date) a degree in NSE from
a University recognized by NSERC
Both program of study and proposed research must be in an
NSERC-supported field
You should consult NSERC’s “Eligibility Criteria for students and
fellows”
NSERC makes the final decision
Still not sure? [email protected]
Academic Standing
maintained 1st class average in last two years (MUN GPA
3.5 or better; but ... )
intend to pursue full time* grad studies and research in NSE
in the following year
*PGS/CGS part time possible in special circumstances
Time in program (as of Dec 31st 2015)
Master’s to PhD
0 to 24 months in doctoral program
Bachelors to PhD (Direct Entry)
4 to 36 months in doctoral program
Note: Direct entry or “roll over” students may apply to CGS M or D for first
year of doctoral program.
What are you saying yes to?
Experience at writing funding applications, an important professional skill
If successful, open doors
& money !
And perhaps more money!
Evaluation Criteria & Weight
CGS-M CGS/PGS
- D
NSERC
Postdoct
oral
Fellow
Academic
Excellence
50% 30% N/A
Research
Potential
30% 50% 70%
Communication,
interpersonal &
20% 20% 30%
How will reviewers rate your application?Criterion Indicators Form 201 evidence
Academic
Excellence
• duration of previous study
• scholarships/awards
• academic record
P 1 (academic background), P 5 thesis completed
P 4 (scholarships table)
University transcripts
App. 2 parts II
Research
Potential
• Scholarships/awards
• acad. training/relevant
experience
• contributions to research
(publications, conf., patents,
reports)
• research proposal
• critical thinking, initiative,
• ability to complete projects
P 4 (scholarships table)
P 1,2 relevant experience, Part II sect 3, App. 1
P 4 (thesis summary), Part II sect 1 (articles
published) , sect 2 (most significant contributions –
Doc. only!), sect 3 (applicant’s statement), App. 1
Part II (outline of research)
Part II sect 3 (applicant’s statement), App. 1, 2
P 1 (academic background, P 5 (theses), App. 1
Communication,
Interpersonal
and Leadership
Abilities
• awards for papers,
presentations
• application quality
• rating and candidate evaluation
• participation in publication
preparation
• professional & extracurricular
activities, collaborations,
mentoring, supervision, project
management, committee
chairs, elected offices etc,
P 4 (scholarships table)
Part II (outline of research), Part II sect 3
(applicant’s statement)
App. 1 and 2 (Parts II and III)
Part II sect 2 (most significant contributions – Doc.
only!), App. 1
P 1,2 (relevant experience)
Part II sect 3 (applicant’s statement)
App. 1
How do you apply?
1. Read/heed NSERC web site
2. All original transcripts to designate in your department by departmental deadline (this will be before the SGS deadline for submission of the completed application) ; * for some foreign universities may ask department to provide copy
3. Contact two reviewers, and provide them with relevant information about you
4. Register and log in to NSERC’s website
• add designate’s name and email information to the application. (Designate will instantly and automatically be sent an e-invitation to upload your transcripts)
• provide contact information of two referees. (Referees will instantly and automatically be sent an e-invitation to complete and submit their letter /”report on the applicant” - all online)
• complete on-line form 201 & attach free form pages
• Print it out and ask mentors and colleagues for comments – for sure; don’t bore or confuse your adjudicators as they only have a very limited time per application.
• verify and submit by SGS deadline of Oct 16th 2015
What happens after you submit?
SGS at Memorial :
1. receives and verifies completed applications (may contact you)
2. ranks all Memorial applications (MUN selection committee meets in
camera)
3. forwards quota to NSERC (18 in 2015) by NSERC’s deadline and notifies
applicants if they have or have not been forwarded; plus alternative list
NSERC in Ottawa :
1. receives applications
2. reviews applications and selects successful applications (12 committees
in Ottawa – Feb.)
3. notifies applicants (March)
Tips on completing the application
Form 201*
Part 1
ONLINE PAGES
• online forms
• Final 6-8 pages (depending
on the award)
• Plus referees reports and
transcripts
Part 2
FREE-FORM PAGES
• Complete in word processor
& attach
1. Outline of Proposed Research
– 1 page
2. Justification for Eligibility of
proposed research
3. Contributions and Statement –
2 pages
*Yes - PGS/CGS D , PDF
To have a good application:
Read program description and application instructions carefully prior to completing the application form online
Be clear, concise, coherent, error-free and complete
Have someone read and comment on your application
Check that your application is complete and correct
Let referees know the deadline date
Ensure your list of publications provides complete bibliographic information
Do not use a font size smaller than 12 pt
Do not use jargon or highly technical language
Do not exceed the page limits
NSERC wants to know that scarce public funds are wisely used
Write for an intelligent non-expert
Ask an non-expert to review it
Ask others too
If you get negative comments…….
By Petteri Löppönen
Form 201 tips
What you see online
Form 201 tips
Up to date address
Notify if a change
If you list a degree you
need to include the
transcript
Form 201 tips
NSE relevant. Demonstrate leadership,
research ability & communication skills.
Indicate if experience was gained in
program of study (lab demo, teaching
etc., internships, placements)
Do not include your graduate program in
this section.
Form 201 tips
These are very important…. choose carefully
PGS specify max of three
institutions
Form 201 tips
List competitive, university level awards
only, declined awards OK; 0$ value
awards OK; max 10, most recent first, list
award value per year
Form 201 tips
CGS/PGSD and PDF only!
Provide full title and summary of most recent thesis
completed or in progress in plain language (modify thesis
abstract if necessary); if no thesis, summarize research
project or research-related work experience.
Do not repeat the information provided in the outline of
proposed research.
Time sensitive. Contact reference in person if possible,
establish that they will give you a “good” reference, provide
good information (remind them of your achievements and
goals), give them a copy of your completed form 201 and
your CV.
Direct them to the “how to complete Appendix 1” NSERC
URL: http://www.nserc-crsng.gc.ca/OnlineServices-
ServicesEnLigne/Forms-Formulaires_eng.asp
Two needed (one from supervisor/mentor); they should
address: research ability, communication skills,
interpersonal and leadership abilities. GIVE THEM THE
INFORMATION (specific examples) TO MAKE IT
PERSONAL!
Form 201 tips
You MUST check the box to be considered for
supplements (additional funds, $5,000 - $17,300,
from other organizations)!
for detailed information/requirements on specific
supplements see: http://www.nserc-
crsng.gc.ca/Students-Etudiants/PG-
CS/Supplements-Supplements/index_eng.asp
Optional
Form 201 tips
Part 2 A
FREE FORM PAGE(S)* (attachments)
A. Outline of Proposed Research – 1 page
B. Justification for Eligibility of proposed research – 1 page
C. Contributions and Statement –2 pages (4 PDF)
Part I: Contributions to research and development
Part II: Most significant contributions to research
development
Part III: Applicant’s statement
a) Research Experience
b) Relevant Activities
c) Special Circumstances (Include if warranted!)
*Follow the format standards of the General Presentation found in
the instructions.
Write in plain language
White space is missed opportunity
But do not crowd it – make it easy for the reviewers
Error free, sensible headings and format
Readable by non-expert
Limited acronyms or abbreviations
Do not duplicate thesis summary on p 4
Provide brief introduction/background (why is the research important?)
List clear objectives (what are you going to do?)
Outline methodology (how are you going to do it?)
Add figures and literature citations if appropriate (b&w)
If a continuation of your previous work, why is it worth continuing?
And previous tips!
A. Outline of Proposed Research(free form, maximum one page)
Outline of Proposed Research Student Name PIN ########
Keeping a watchful eye under the sea: Environmental monitoring with autonomous underwater vehicles
Motivation. Effluent plumes from the disposal of seafood processing wastes can have detrimental impacts on the receiving ocean environment. In 2002, the
province of Newfoundland and Labrador had 131 active processing licenses and produced an estimated 220,000 metric tonnes of waste, which was largely
unmonitored and unregulated [1]. The environmental effects of discharge of effluents from seafood processing plants has not been extensively researched; there
is little knowledge or relevant environmental data on which to base decisions. Consequently, there are no validated models to determine the fate of pollutants
from seafood processing in the coastal ocean environment and their effect on its ecology.
Goals. The long-term goal of the project is the development of a scientific basis to support the creation of guidelines for environmentally safe operation in the
seafood processing industry. As part of a multidisciplinary team, my principal role will be to develop an intelligent Autonomous Underwater Vehicle (AUV) as an
environmental monitoring tool, capable of gathering and analyzing sensory data, particularly visual data, as it surveys and profiles the coastal ocean
environment.
Approach. The use of AUVs has excellent potential as a tool in ocean monitoring to obtain continuous data. Unlike current monitoring methods (eg. from a
ship), AUVs equipped with appropriate sensors are able to sample a 3-D continuous profile of the seafloor and water column in the study area. The use of an
AUV for the field work proposed here is innovative in permitting continuous rather than point sampling, with my research focusing on profiling the seabed in
order to monitor benthic ecology. This work will initially involve (a) the construction of a high-resolution video recording system for the MUN AUV, and (b) the
development of novel computer vision algorithms for intelligent analysis of the seabed to automatically identify sightings of different benthic organisms and other
visual data. Experiments with the vision system will be ground-truthed against data from a sub-bottom profiler sensing the upper 0.5m of the seabed, as well as
against the results of expert human analysis of records.
Methodology. My experience in Computational Intelligence (CI) (see Contributions and Statement) will be heavily drawn upon. CI combines key information
processing technologies for effective intelligent systems development, and has been successfully applied to many areas of computer vision. In fact, some of my
more recent collaborative work involved research in image understanding, using CI-based modelling techniques I developed in [2]; these efforts may prove
useful for the AUV in understanding underwater scenes. Further, in order for the AUV to make intelligent decisions and actions based on what it “sees” with the
camera system, an onboard real-time vision processing system is necessary, which has significant computing requirements due to the enormous amount of
information existing in high-resolution video. These requirements can be more effectively met by taking a synergistic approach to hardware and software
design, much like the methods we used in [3].
Outcome. The environmental profiles produced by AUV environmental monitoring will aid team members in the development of predictive models to anticipate,
manage and mitigate changes in environmental quality resulting from fish plant effluents. Improved waste disposal practices in the seafood processing industry
will improve the coastal environment leading to restoration and improvement of degraded fish habitat. As well, in the long term, the environmental tools
developed under this program will have application in the aquaculture and offshore oil and gas industries.
[1] National Programme of Action Atlantic Regional Team (NPA). Management of wastes from Atlantic seafood processing operations: Final report. Technical
report, AMEC, Dartmouth, NS, 2003.
[2] Name, and Other Name. Fuzzy modelling through logic optimization. In Proc. of the Annual Meeting of the North American Fuzzy Information Processing
Society (NAFIPS’05), pp. 494-499, 2005.
[3] First Author, S. Author, and Name, F. Blending methodologies for optimizing fuzzy inference engine designs. In Proc. of the Annual Meeting of the North
American Fuzzy Information Processing Society (NAFIPS’04), pages 593-598, 2004.
CGS D winner
B. Justification for Eligibility of Proposed Research - NEW
1 page
Complete if your research falls under the mandate
of more than one federal granting agency
Psychology, management studies, geography, phys
education, bio-med engineering, health,
bioinformatics, biostatistics etc
Answer: Why predominantly NSE?
Part 2 A
FREE FORM PAGE(S)* (attachments)
C. Contributions and Statement –2 pages (D)
Part I: Contributions to research and development
Part II: Most significant contributions to research
development (complete only if applying for a PGS D)
Part III: Applicant’s statement
a) Research Experience
b) Relevant Activities
c) Special Circumstances (Include if warranted!)
*Follow the format standards of the General Presentation found in
the instructions.
Student Name (PIN 1111111)
Contributions and Statement
Section 1: Contributions to research and development
Articles Submitted to refereed journals
Name, S.., Supervisor, A. Fast, accurate, transparent: fuzzy models designed using logic minimization. IEEE Transactions on Fuzzy Systems.
Submitted May 2005, Ms. No. TFS-2005-0101. 31 pages. (MSc work)
Name, S.., Supervisor, A Fuzzy neural networks for intelligent hardware engines. Fuzzy Sets and Systems. Submitted April 2005, Ms. No. FSS-
D-05-00673. 27 pages. (MSc work)
Other refereed contributions
Name, S., Supervisor, A. (2005) Fuzzy modelling through logic optimization. Proc. of Annual Meeting of the North American Fuzzy Information
Processing Society (NAFIPS’05). pp. 494-499. (MSc work)
Name, S., Supervisor, A. (2004) Hardware design issues of fuzzy neural networks. Proc. of Annual Meeting of the North American Fuzzy
Information Processing Society (NAFIPS’04). pp. 587-592. (MSc work)
Another, A., Name, S.., Supervisor, A. (2004) Blending methodologies for optimizing fuzzy inference engine designs. Proc. of the Annual Meeting
of the North American Fuzzy Information Processing Society (NAFIPS’04). pp. 593-598. (MSc work)
Name, S. Networking video on palm pilot devices. Invited presentation of paper at the 2002 Atlantic IEEE Student Paper Competition, Halifax,
Nova Scotia, December 2002. (BEng work)
Section 2: Most significant contributions to research and development
During my work as a Master’s student I was able to pursue my interests in machine intelligence, focusing my efforts in the area of Computational
Intelligence (CI). CI encompasses key technologies including fuzzy logic (FL) and artificial neural networks (ANN), which are modeled after
natural processes to allow machines to in some ways “think” like people. The following describes three significant contributions from this period:
1) Fuzzy neural networks for intelligent hardware engines. Early on in my Master’s work, I studied how core CI mechanisms are highly parallel in
their information processing structures; to fully exploit their potential, customized electronic hardware implementations are desired. With the
potential for a wide range of industrial applications, I carried out exhaustive literature reviews in order to make an informed proposal of several
crucial hardware design issues. This lead to my creating a flexible simulation environment for performing extensive experimentation to investigate
these issues. With encouraging results, I prepared the NAFIPS’04 paper “Hardware Design Issues of Fuzzy Neural Networks” to address the
design issues, which was well received. The work then continued with further experimentation, and that paper was expanded into “Fuzzy Neural
Networks for Intelligent Hardware Engines”, currently under review by Fuzzy Sets and Systems, a journal we felt would allow the work to reach a
wide range of CI researchers who develop fuzzy logic technologies, theorists and industrialists alike.
2) Blending methodologies for optimizing fuzzy inference engine designs. This work involved a successful collaboration primarily between myself
and Supervisor, as we set out to create a highly configurable information processing architecture. The platform was based on a previous design
of S’s, which we further developed as the Data Flow Processor (DFP), synergistically combining software and hardware development
techniques. With an interest in intelligent control applications in industry, my role was to develop a fuzzy logic-based controller based upon the
DFP platform. Once complete, the resulting controller consistently outperformed state-of-the-art and industry-standard fuzzy controllers. Due to
the success of the research, we co-ordinated efforts in preparing the NAFIPS’04 paper “Blending methodologies for optimizing fuzzy inference
engine designs”, which introduced the novel architecture and presented the performance results. We also published the DFP architecture itself in
OpenCores, an open source repository of digital hardware designs. It has gained attention as a unique and useful design, and has been adopted
CGS D winner
Student Name (PIN 111111)
by several researchers, as well as an established company, Acme Inc., in the development of their electronic instruments and systems.
3) Fast, accurate, transparent: fuzzy models designed using logic minimization. Later in the Master’s research, I became interested in the idea of
fuzzy modelling, which is essentially the automatic construction of predictive system models that are uniquely linguistic in nature, allowing them
to predict system behaviour while simultaneously being easily understood by humans in order to gain insight into the system’s functions. I
concluded that my research in hardware-based CI was essentially working towards a dedicated hardware architecture for learning and building
knowledge bases (fuzzy models) of humanoriented concepts from which to behave and react in complex and dynamic environments. With some
advice and ideas from my supervisor, we decided to take the research focus away from hardware development, as it was logical to first
concentrate on the creation of a sound methodology for automatic fuzzy model identification, based upon CI theories. The research was highly
successful, resulting in modelling tools that achieved an excellent level of efficiency on standard computing platforms, with immediate availability
to others in the form of a software package. I composed the NAFIPS’05 paper “Fuzzy modelling through logic optimization” to introduce this novel
fuzzy modelling environment, further expanding it into “Fast, accurate, transparent: fuzzy models designed using logic minimization”. As we felt
the work was a significant advancement in the field of fuzzy modelling, we decided to submit to the journal IEEE Transactions on Fuzzy Systems,
as it is the top-rated international journal for fuzzy logic research.
Section 3: Applicant’s statement
a. Research experience. I have been fortunate enough to have been conducting research in an academic environment for nearly four years,
beginning as an undergraduate research assistant under the guidance of Dr. X. Rather than the more common industry work terms where
students were given little freedom or responsibility, working in Dr. X’s lab provided formidable challenges while working in areas of wireless
communications and image processing; it proved to be a true test of my abilities and allowed me to significantly develop my fledgling engineering
skills. The experience gained during this time proved extremely valuable as I entered into my Master’s program under Dr. Y, switching into
intelligent systems research (a childhood fascination). As much more is expected from graduate research versus undergraduate, the demanding
program required me to develop my skills quickly and effectively. The work involved a rigorous combination of theoretical and experimental
research in developing new and useful methodologies for the application of fundamental theories in computational intelligence, a field in which
Dr. Y is highly regarded. As a result of the Master’s, I have a high level of confidence in my knowledge of CI and my ability to apply it using skills
in electrical and computer engineering. It is expected by myself as well as my Doctorate supervisors that this knowledge will be heavily drawn
upon for the proposed research.
b. Relevant activities. I have enjoyed developing my presentation skills while giving countless informal talks along with formal presentations to
engineering classes and at paper competitions and international conferences. As well, in recent years the importance of the written word has
become quite apparent to me, providing a powerful means of communicating research results to the rest of the world. I have competed in and
won several paper competitions, and composed several conference papers and manuscripts during my Master’s work, always attempting to
improve my abilities in articulating new concepts and theories well enough to leave an impact on the reader. Further, I have held teaching
assistant positions in five courses spread over two universities, where, along with giving tutorials, I spent much time interacting with students in
order to help troubleshoot problems and provide guidance during their larger projects. Finally, I have had the pleasure to participate in numerous
collaborations over the years, including a visiting research position at the University of Bozen-Bolzano in Italy. They have helped greatly in
developing the leadership and interpersonal skills I needed for working with such a highly interdisciplinary research team at Memorial.
Section 1: Contributions to research and development
Articles published or accepted in refereed journals
Name, N. and Other, N., (2004) The use of proliferating cell nuclear antigen immunohistochemistry with a unique functional marker
to detect postnatal neurogenesis in paraffin-embedded sections of the mature pig brain. Brain Research Protocols. 13(2):69-75.
(BSc work).
Non-refereed contributions
Name, N. and Other, N.,. Interactions between neurotrophin and cell-adhesion dependent signalling. Poster presented at the
Society for Neuroscience annual international conference, San Diego, CA, October 2004 (MSc work).
Name, N. and Other, N., Subpopulations of adult DRG neurons show different responses to extracellular matrix molecule
stimulation. Poster presented at the Society for Neuroscience annual international conference, San Diego, CA, October 2004.
(MSc work).
Name, N. and Other, N.,. Postnatal neurogenesis in the vasopressin and oxytocin containing nucleus of the pig hypothalamus.
Poster presented at the Canadian Federation of Biological Sciences (CFBS) annual conference, Montreal on June 2002. (BSc
work).
Name, N. and Other, N., Postnatal neurogenesis vasopressin and oxytocin containing nucleus of the pig hypothalamus. Poster
presented at the Ontario Veterinary College Research Appreciation Day, Guelph, ON, October 2001. (BSc work).
Section 2: Most significant contributions to research and development
During my undergraduate degree, I worked on a research project producing 2 publications: 1) Postnatal neurogenesis in the
vasopressin and oxytocin containing nucleus of the pig hypothalamus, and 2) The use of PCNA immunohistochemistry with a
unique functional marker to detect postnatal neurogenesis in the mature pig brain, which I consider to be 2 of my most significant
contributions to research. As well, as a Master’s student, I have moved into a new area of interest and presented a poster for the
Society for Neuroscience international conference: 3) Interactions between neurotrophin and cell-adhesion dependent signalling,
which I also consider to be significant.
1) The research for this paper was begun as an undergraduate research assistant. I conducted the necessary library research to
develop a project proposal. Once this proposal was accepted, I learned the necessary techniques and carried out all of the
technical lab work required. I learned statistics to analyze data, prepared the manuscript for submission, and successfully
defended the content to peer review. The vasopressin and oxytocin-containing nucleus was extensively studied in the early 1990s,
but I was the first to conclusively show that postnatal neurogenesis was the cause of nucleus expansion. The study of postnatal
neurogenesis is important, not simply as an explanation of porcine reproductive behaviour, but on a broader scale as a potential
treatment for neurodegenerative disorders.
2) This paper resulted as an extension of my first publication. Due to the nature of the subjects
CGS D winner (Cell & Mol. Biology)
involved in the neurogenesis study, traditional measures of cellular proliferation were untenable. It became necessary to
employ a well-used technique from another field in a new way. For this publication, I researched and proposed the idea,
completed the necessary labl work, analyzed the data, prepared the manuscript draft and successfully defended it to peer
review. By testing the use of PCNA as an accurate marker of cell proliferation when used under appropriate conditions, and
proposing that a hormone secretory product can be used as a neuron specific marker, it opened up a method of studying
neurogenesis in large animals without the safety risks associated with traditional methods. By choosing to publish this paper in
a protocols journal, I made the technique widely available to other researchers.
3) The research for this poster came from the early work of my Master’s project. While the initial ideas for this project were
given to me by my supervisor, I have done the necessary library research and am now directing and carrying out my own
experiments and doing data analysis for a poster presentation at an international conference, and a manuscript that is in
preparation. By understanding the factors involved in the initiation and extension of neurite processes, we can then optimize
axonal regeneration following damage.
Section 3: Applicant’s Statement
a. Research Experience
Throughout my honours and undergraduate research assistantship, I have gained extensive scientific abilities in
library reserach, project development, immunohistochemistry, statistics, manuscript preparation, journal selection, defense to
peer review and student supervision and mentoring. Following my undergraduate research assistantship position, I volunteered
in a neuroscience lab with technician duties, and shortly thereafter, served as the laboratory supervisor, overseeing four
undergraduate project students, ensuring their proficiency in the required techniques, and troubleshooting. For the past year, I
have been working as a Msc student in the lab of Dr. Z. This project has introduced me to an entirely new set of laboratory
techniques, including western blotting, immunocytochemistry, cloining and cell culture, expanding my repertoire of technical
skills and tools I can use to investigate, and providing me with the autonomy and qualities necessary to become a productive
researcher.
b. Relevant Activities
As a graduate student, I have been given a great deal of opportunity to practice my presentation skills, by
participating in a seminar series each semester, and winning the top Master’s student prize in the Golden synapse competition
for excellence in research presentation skills. Furthermore, I work as a laboratory demonstrator/teaching assistant for
neurology and neuroanatomy medical school courses, and volunteer with the “Let’s Talk Science” program, traveling province-
wide to public and secondary schools doing scientific demonstrations and judging science fairs. I also serve as the graduate
student representative on the Faculty Development Committee. Outside of the university, I volunteer with Easter Seals as an
event operator, for which I recently organized and led the karaoke event as part of a large fundraising team at a local event.
Until recently, I worked as a group fitness leader, communicating instruction to large groups of participants, using knowledge of
anatomy to infuse classes with educational tips. As an undergraduate student, I organized and ran a study group for
psychology students, and have extensive tutoring experience.
NSERC home
NSERC Program Guide for Students and
Fellows
NSERC Tutorial Videos *
NSERC Online services
Master’s Program
NSERC’s information and instructions for
completing an application
NSERC blank form 201
Important NSERC sites
http://www.nserc-crsng.gc.ca/index_eng.asp
http://www.nserc-crsng.gc.ca/Students-
Etudiants/index_eng.asp
http://www.nserc-crsng.gc.ca/Students-
Etudiants/Videos-Videos/Index_eng.asp
http://www.nserc-crsng.gc.ca/OnlineServices-
ServicesEnLigne/Index_eng.asp
http://www.nserc-crsng.gc.ca/Students-
Etudiants/PG-CS/CGSM-BESCM_eng.asp
http://www.nserc-crsng.gc.ca/OnlineServices-ServicesEnLigne/instructions/201/e.asp
http://www.nserc-crsng.gc.ca/OnlineServices-ServicesEnLigne/pdf/F201_e.pdf
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