Thursday, 31 October 2013

UBC MMinOR information session

Dear students,

The Sauder School of Business would like to invite you to participate in an online information session for the Masters of Management in Operations Research. This is a great way to learn about one of the masters programs available to you at UBC. We have attached the official invite for you with dates, RSVP information etc. The online info-session is THIS FRIDAY NOVEMBER 1, from 230-330pm. The best email to reach us at is:


 Master of Management in Operations Research Online Information Session – Friday November 1, 2013 

Dear students,

You are cordially invited to join in an upcoming online information session on our UBC Master of Management in Operations Research (MM in OR) program: Friday, November 1, 2013 2:30 m - 3:30 pm (Pacific Standard Time) 5:30 pm - 6:30 pm (Eastern Standard Time) 

The 16-month UBC MM in OR program trains students to become professional business analysts by providing rigorous technical fundamentals, practical consulting skills, and real-world problem solving experience. The program is an ideal alternative to an MBA for technically-oriented students looking for a professional business degree that utilizes their quantitative skills. 

Please RSVP with your name, email address and current program of study (or job title) to by noon on Thursday Oct. 31. You will receive instructions on how to log in. 


Friday, 25 October 2013

IBM PhD fellowship deadline is October 29th

CS Grads:

  Please consider applying for the IBM PhD Fellowship that "honors exceptional Ph.D. students who have an interest in solving problems that are important to IBM and fundamental to innovation in many academic disciplines and areas of study." Details can be found at . Note that nominations should be submitted directly by a faculty member and you do not need to go through the grad office.


S. Keshav
Graduate Director
Cheriton School of Computer Science

NSERC CGSM Scholarship Competition for 2014-2015

Deadline on-line:  8:00 pm December 1, 2013

Attention 4a and 4b students applying for Graduate Studies in 2014, please find information below about the NSERC CGS-Masters Competition.

Before you complete your application:
1. Check and ensure that you are ELIGIBLE to apply.
2. Start talking to some faculty members about getting 2 references.
3. Check to see how and when transcripts must be ordered


NSERC CGSM Scholarship Competition for 2014-2015
On-line Deadline:   December 1, 2013  8:00 pm
Via NSERC's on-line Research Portal

The web page below and its right hand menu will give you lots of information about the application procedures.  In particular, the sample CGS-M application and the instructions are easily available here. Be sure to read the instructions for the free form pages and follow them to the letter.

Ordering Transcripts:

These must be able to support your application and referees need to be familiar with your work.  See the tips for selecting referees who can provide a strong refernce.

Q & A Session for NSERC CGSM applicants:
Wednesday, November 6th
DC 2585
10:30 - noon
Bring your questions/concerns and get feedback about your application.

NSERC CGSM Consultations
Wednesday Nov 20, 2013
Book a 15-minute appointment for us to review your draft application before final submission.  This will help you to submit a clean application. Once submitted, the application cannot be edited.
Email for appointment:

NOTE: The NSERC CGS-M application will also be used to rank applicants for the Ontario Graduate Scholarship (OGS).  No separate OGS application is required.

Contacts for more information:
Margaret Towell
Paula Roser

Tuesday, 22 October 2013

Rotman International Trading Competiton

The Rotman International Trading Competition (RITC) is an annual event where competing teams of students and faculty from across the globe participate in a unique three day conference.  This year it will be held from Thursday February 20th, 2014 to Saturday February 22nd, 2014.

RITC presents teams with challenges that are pertinent to current market trends. While past competitions have been very successful, they continually improve on past cases and introduce new ones. After adopting the Rotman Interactive Trader (RIT) platform in the 2006 competition and receiving overwhelmingly positive feedback, they strive further utilize RIT's newly added features to offer more variety in their trading cases and a better trading experience.

Not only will you have an opportunity to utilize your skills, knowledge, and acumen, but you will have the opportunity to meet and network with faculty and students from around the globe!

We are looking for a team of students (5) who want to go and represent the University of Waterloo as the undergrad team.  This is a trading competition but is heavily slanted towards topics involving algo trading and that sort of thing.  We have had an undergrad team there for the last couple of years and have done well in past.

If you are interested in submitting an application either individually or as a a team of four individuals, please submit a short (1/2 page) informational statement as to why you want to go and please provide bios (with student numbers)  for each student.  You may construct your team from any faculty.  This may all be submitted to the Math Business Office (M3 2001) during regular business hours (Monday through Friday from 8:30 a.m. until 4:30 p.m.) by October 29, 2013.  Please note that if you need to submit them after hours please email us at and we shall ensure that there is an envelope left outside our office pinned to our bulletin board so you can slip it under the door.  The next day when we return we shall email you so that you can rest assured we have received it.

Please note that though you may submit a team it may be modified to incorporate other individuals if we perhaps see a better fit for the competition.

For more information and a great video please check out<>/.

All the best and wishing you great success on your midterms,

Math Business and Accounting

Clark University Entry-Level Tenure Track Position

I would like to call your attention to an entry level tenure track position in Computer Science opening in the Math/CS department at Clark University (to start fall 2014).  I would be very grateful if you could please bring this to the attention of the School of Computer Science at Waterloo, and/or to relay it to any qualified individual that you think might be interested.

Details can be found at,

We are interested in qualified applicants with expertise in applications in the areas of Human-Computer Interaction, Computer Vision, Computational Geometry, or Network Algorithms.

Clark has a number of interdisciplinary groups and programs in the social and natural sciences. Among others these include a group in Motion Planning, an Active Matter group, Geographical Information Science, and a growing Environmental Science program, as well as a computational cluster. Thus we are particularly interested in the the branches of CS listed above which have the potential to interact with these areas.

If there are any questions, please let me know.

Sincerely yours,

  -- Frederic Green.

Frederic Green                email:
Professor                     web:
Math/CS, Clark University     phone: (508) 793-7410 (office)
Worcester, MA 01610                  (508) 793-7343 (dept. office)

Monday, 21 October 2013

Montana State Computer Science Tenure-Track Position(s)

The Montana State University Computer Science Department is seeking to hire one (possibly more) tenure-track positions in either

(1) the broad area of big data - inclusive of data science, data management systems, analytics, social media, computational science, visualization, intelligent systems, security, etc.

(2) computer science education – someone who can research and implement best practices that attract, retain and graduate significantly larger numbers of students

Vacancy Ad:

Our Department:

If you would pass this information along to anyone who might enjoy working at a Carnegie Very High Research University (RU/VH) in beautiful Bozeman, Montana, I would greatly appreciate it.



John Paxton
Professor and Department Head
Computer Science Department
Montana State University

Friday, 18 October 2013

IOS Scholarship for Women in Technology

Job Number: 29421172
Santa Clara Valley, California, United States
Posted: Sep. 17, 2013
Weekly Hours: 40.00

Job Summary

The iOS Scholarship for Women in Technology is an opportunity for women to win a $10,000 scholarship to help pay for their education in the technology field.

Key Qualifications

Applicants must be in at least their sophomore year of college pursuing a bachelor’s degree, or enrolled in a master’s degree or PhD program in computer science or a related field. To apply for the iOS Scholarship for Women in Technology, applicants must submit their resume and app proposal (discussed below) to this posting as a single PDF by November 15, 2013.


The iOS Scholarship for Women in Technology is an opportunity for women to win a $10,000 scholarship to help pay for their education in the technology field. 
  • Applicants for the scholarship will also be considered separately for an internship at Apple with the Apple iOS Engineering team
  • For more information about internships at Apple, go to
  • Winners will be notified by December 16, 2013.  

App proposal

Beyond just your resume, as part of your application you will also need to submit a detailed proposal for a new iPhone or iPad app that you’d like to develop. Be creative and consider all the technologies available to you on iOS. Your proposal should include a description of the following things:
  •     What is the purpose of the app? 
  •     What problem is the app solving? 
  •     Who is the target user for the app? 
  •     Describe the major user-level features of the app. 
  •     Describe the overall user interaction with the app. 

Feel free to include mockups of the user interface (screenshots or functional mockups) if that would help illustrate how the user would interact with it.  Please limit your proposal to no more than two pages and include it in the same file as your resume. Maximum file size is 2MB (PDF format is preferred). If you have any questions, please email

In order to be eligible to receive the scholarship, you must also accept a summer internship, if offered.

Assistant Professor of Computer Science at Dartmouth College

The Dartmouth College Department of Computer Science invites applications for three tenure-track faculty positions at the level of assistant professor. We seek candidates who will be excellent researchers and teachers in the areas of machine learning, computer graphics/digital arts, and theory/algorithms, although outstanding candidates in any area will be considered. We particularly seek candidates who will help lead, initiate, and participate in collaborative research projects both within Computer Science and involving other Dartmouth researchers, including those in other Arts & Sciences departments, Dartmouth’s Geisel School of Medicine, Thayer School of Engineering, and Tuck School of Business.

The department is home to 17 tenured and tenure-track faculty members and two research faculty members.  Research areas of the department encompass the areas of systems, security, vision, digital arts, algorithms, theory, robotics, and computational biology. The Computer Science department is in the School of Arts & Sciences, and it has strong Ph.D. and M.S. programs and outstanding undergraduate majors. The department is affiliated with Dartmouth's M.D.-Ph.D. program and has strong collaborations with Dartmouth's other schools.

Dartmouth College, a member of the Ivy League, is located in Hanover, New Hampshire (on the Vermont border). Dartmouth has a beautiful, historic campus, located in a scenic area on the Connecticut River. Recreational opportunities abound in all four seasons. With an even distribution of male and female students and over one third of the undergraduate student population members of minority groups, Dartmouth is committed to diversity and encourages applications from women and minorities.

To create an atmosphere supportive of research, Dartmouth offers new faculty members grants for research-related expenses, a quarter of sabbatical leave for each three academic years in residence, and flexible scheduling of teaching responsibilities.

Applicants are invited to submit application materials via Interfolio.  For the machine learning position, apply at; for the computer graphics/digital arts position, apply at; for the theory/algorithms position, apply at  Upload a CV, research statement, and teaching statement, and request at least four references to upload letters of recommendation, at least one of which should comment on teaching. Email with any questions.

Application review will begin November 1, 2013, and continue until the positions are filled.

Thursday, 17 October 2013

Two CS faculty positions at Oakland University

Tenure-track Faculty Positions
The Department of Computer Science and Engineering needs to fill two tenure-track assistant professor positions. Both positions will begin on August 15, 2014. Applicants must have completed a Ph.D. in Computer Science, Information Technology, or a closely related field by the appointment date. Candidates must show exceptional promise in both research and teaching. Desired areas of interest include software engineering, algorithms, programming languages and parallel computing. Only applicants whose research and teaching interests fall under these or very closely related areas will be considered.
Applications should be submitted by November 15, 2013. Applicants should upload a letter of intent, a statement of research, a statement of teaching, resume, and information of three references at The teaching statement should include a list of undergraduate and graduate courses that the applicant will be willing to teach as well as outlines of two courses that the applicant would like to introduce. Information about the current courses offered by the department is available on departmental website at
The department is currently offering BSc. Degrees in Computer Science and in Information Technology, MSc. degrees in Computer Science and in Software Engineering and Information Technology, and a Ph.D. in Computer Science and Informatics.
For information about the department and Oakland University, please visit the respective homepages.
Oakland University is an ADVANCE institution, one of a limited number of universities in receipt of NSF funds in support of our commitment to increase diversity and the participation and advancement of women and underrepresented minorities in the STEM fields.

Scholarship Opportunity from CIBC and Student Life Network

The Student Life Network, in collaboration with CIBC, is currently offering a $20,000 scholarship for a current Canadian student.

The scholarship is not merit based and is open to all students. In addition to the $20,000 for school it contains a whole host of other awards that make a student¹s life easier.  

Students can register to win the scholarship here:

Last year, we offered a similar opportunity. Taylor Esselment from Hagersville, Ontario won a $20,000 GIC to help her pay off Computer Science her student debts. A re-cap video of our team telling her that she won can be viewed here:

Kim Quinlan
Customer Service Representative

Tel: 416.461.0207 ext. 232
Twitter: @StudentLifeNet

Portfolio Management Accelerated Track for Senior Associates

Hedge Fund seeking top PhDs and MS graduates with strong engineering/math aptitude for unique entry-level systematic portfolio management opportunity.  Learn statistical arbitrage and algorithmic trading techniques from senior portfolio managers.
Job Responsibilities (include, but not limited to the following):
We are seeking individuals with outstanding academic background to join us as Senior Associate, Accelerated Portfolio Management Track. The successful candidates will work under the guidance of our highly successful portfolio managers and Chief Investment Officer. After gaining enough experience, Senior Associates will be promoted to Portfolio Manager, and begin to manage their own investment portfolio to generate profits. This is a unique entry level opportunity for high caliber individuals looking for an accelerated track to a highly rewarding career in systematic trading. Successful applicants will receive compensation commensurate with their experience and academic achievement.
Job Qualifications:
-       Ph.D. or M.S. degree from a top tier institution in a highly analytical field, such as Mathematics, Operations Research, Optimization, Electrical Engineering, Financial Engineering, Computer Science and Physics
-       Interest/background in finance, demonstrated by coursework in economics or finance
-       Solid programming skill (C++/Python/Perl) is a strong plus
-       Ability to work independently and innovate
-       Understanding of optimization theory and algorithms (including dynamic programming, large-scale linear and non-linear programming, interior point methods, genetic algorithms, simulated annealing and robust optimization) is a plus
-       Strong work ethic and drive to succeed
Job description:
PositionPre-trade quantitative researcher
Position Description: Working in a strong team which builds and implements statistical models for equity, futures, and FX markets. The position assumes conducting research, development and maintenance of mathematical/statistical models that can be used in the trading process and for post-trade analysis. These models are utilized as trading tools or to assess the performance of institutional clients through peer group comparison, performance analytics and cost attribution. The position will include maintenance and enhancements of existing transaction cost models (ACE and SCE) as well as statistical analysis of empirical execution data to help improve analytics and trading strategies. Only those with solid technical and modeling skills are encouraged to apply.
Responsibilities of the pre-trade researcher include:
  • working closely with the entire financial engineering group to conduct formal quantitative analyses from the research question formulation to presentation of outcomes, typically including written summaries and/or business recommendations;
  • formal modeling of risk, return, and trading cost profiles for equities and other asset classes;
  • maintenance and support of existing models and products;
  • project-specific guidance to other team members in performing analyses and maintenance;
·         identifying issues and areas in need of statistical analysis.
Educational and Professional Requirements: 
  • Ph.D. or M.S. in a quantitative field (e.g. applied mathematics, physics, computer science, etc.) Recent graduates are encouraged to apply.
  • A strong desire to develop and integrate quantitative skills within the required scope of designing and implementing analytic solutions.
  • Ability to translate research into usable, value-added tools and information.
  • Strong ability to effectively communicate quantitative topics and concepts.
  • Strong written and verbal communication skills.
  • Working knowledge of C/C++ a must.
  • Knowledge of Perl, R/S-Plus or other scripting languages preferred
  • Familiarity with Unix environment and general Unix tools preferred.
  • Familiarity with SQL or other databases desired.
  • Strong knowledge of applied statistics and probability theory.
·         Relevant research or professional experience in financial and market microstructure modeling is a plus but not needed
·         Highly self-disciplined, detail- and results-oriented.
Sr. Quantitative Algorithmic Developer for Systematic Trading Strategies
Main Function
The Quantitative Strategies Trading team is a proprietary trading desk that builds black box algorithmic systematic trading models. These automated algorithmic trading strategies are built using C++ running on Unix/Linux and are deployed within the firm’s data centers as well as multiple co-location sites. Excellent, cutting-edge technology is the key to the desk’s profitability. Low-latency speed/performance is a competitive advantage for the strategies – with financial market data event to trading order submission being measured in microseconds. These systematic strategies send millions of orders per day, so scalability and stability is vitally important.
As the group expands into more trading financial products and markets we have a need to hire highly skilled C++ developers who can develop/code high speed trading products under tight deadlines. It would also be an advantage for the candidate to be experienced with and able to understand trading models in order that they can be implemented in our systematic strategy framework.
It is likely that in his or her role, the candidate will be developing new equity systematic trading infrastructure and many other areas associated with high speed/high frequency, low latency trading. Candidates will be responsible for the maintenance of the high performance trading infrastructure in the form of our low-latency systematic trading and market data drivers. In addition, the candidate will be comfortable working in a rapidly changing environment with short deadlines and a need for high quality reliable deliverables.
Personal Requirements
Basic Qualifications:
·         Bachelors Degree in Mathematics, Engineering or Computer Science
·         7+ years C/C++ development experience on Unix/Linux
·         7+ years knowledge of equity trading and financial market data interfaces
·         7+ years understanding of code optimization and high performing trading, low latency applications
Preferred Qualifications:  
·         PhD/Masters -Advanced degree in Mathematics, Physics, Engineering or Computer Science
·         Team Player capable of developing industrial, high performance strength software components
·         Experience of developing financial market interfaces or market data handlers
·         Good knowledge and understanding of systematic algorithmic trading
·         Ability to convert quantitative algorithm trading design into code
·         Unix/Linux Shell scripts
·         Python scripting
·         US equities and futures market microstructure
·         Experience of developing against US equities and futures APIs
·         FIX 4.x/5.x protocol
·         _________________________________________________________________________________________________________________________________________
Quantitative Data Analyst for Model Validation Testing (Algorithmic Trading)
This financial company is a private institutional investment management complex consisting of an international team of researchers, traders and technologists who constantly work toward even greater quantification and automation in the development of its trading processes. Continuously evolving for ever-greater efficiency enables us to trade today the way others will tomorrow.
We are seeking a Quantitative Data analyst for Model Testing to implement and maintains various quality tests and production systems on our quantitative trading models. These trading models are building blocks of our trading strategies.
Job Responsibilities (include, but not limited to the following):
- Work with Trading/Research departments in designing and formulating the model validation rules and production procedures
- Implement the rules and procedures in an object-oriented framework, via Perl, Python or
- Provide level 2 support of issues regarding model tests and production
- Collect and analyze statistics on trading models and devise approach to improve the test/production procedures
- Produce reports on models regarding their status in the validation or production process
- Design and implement user interface (web based) to interact with Trading/Research departments on model submission and validation
Job Qualifications:
- Be Interested in applying technology to real situation, comfortable working in fast paced working environment, detail oriented and capable performing task under time pressure
- Possess effective problem solving both independently or as a member of a team
- Have good communication skills: must be fluent in English, spoken and written
- Possess a background in Computer Science, Engineering, Math, Physics, with minimum  Master’s degree. Proof of a good academic record (such as GPA or other relevant test scores)
- Have experience working under Linux environment, familiar with Vi or Emacs for editing files under the command line
- Have experienced with programming in C/C++, familiar with common algorithms and data structures (binary tree, sorting, etc), Object Oriented programming and design patterns.
Familiar with compilers, debuggers under Linux (gcc, g++, gdb).
- Have experience with scripting languages, such as Perl, Python, and shell scripting
- Possess knowledge of basic statistics/probability, familiar with concepts such as   correlation, standard deviation and how to calculate
- Interface with database (such as MySQL)
Credit Risk Manager for Regulatory Risk Management
Education Level: Master's Degree or PhD Degree
Job Description:
The successful candidate will be responsible for:
·         Develop advanced credit risk capital, stress testing and loss forecasting models for banking products, and wholesale and retail credit portfolios.
·         Utilize SAS, SQL, VB, C/C++ and MS Excel to perform advanced statistical analysis and develop mathematical models to predict credit quality migration, obligor default risk, loss severity and portfolio risk. 
·         Utilize knowledge of risk assessment, risk monitoring and risk models and techniques to develop, test, document, and enhance portfolio models, visualization and diagnostic tools for testing model robustness, stability and performance. 
·         Research and analyze financial loss data, and issue special reports identifying risk drivers, estimating financial risk and measuring model risk.   
·         Perform reliability analysis and quality control of modeling datasets and model results.  Develop and maintain technical documentation for methodologies and applications; including project plans, model descriptions, mathematical derivations, data analysis, process and quality controls.  Support the implementation of analytical tools by reporting functions, and the migration of models to the production environment. 
·         Facilitate cross-functional dialogue with business and clients to improve risk reporting and internal and external regulatory compliance. 
·         Actively participate in the analysis and interpretation of results, incorporating feedback as appropriate into models and metrics. 
·         Provide timely and accurate response to clients, management and regulators.  Participate in discussions with model validation, internal and external audits and regulatory reviews. 
·         Prepare and deliver training materials, presentations and reports on credit risk analytics for technical and non-technical audiences.
·         Master’s degree in Statistics, Mathematics, Economics, Finance, Engineering or Science; and three (5) years of experience in the job offered or a related position. 
·         Professional experience must include having developed or performed the following items: 
·         Advanced mathematical and statistical financial modeling, data analysis and visualization, hypothesis testing and numerical implementation of risk models and statistical tests using SAS, SQL, VB, C/C++ and/or MS Excel tools; 
·         5 years experience in modeling banking products, risk analytics for wholesale and retail credit portfolios, survival models, credit quality migration, loss severity, credit risk or related areas; 
·         Working knowledge of credit data reliability analysis, data quality controls, processing of large datasets and databases, and data segmentation;  Project coordination across analytical, reporting, and production teams; 
·         Developing and maintaining detailed technical documentation for models, model validation and model controls, project plans and processes; 
·         Working knowledge of regulatory requirements and industry practices for credit risk models and stress testing;  Data extractions from databases and large datasets, data quality controls and integration of multiple datasets; 
·         Algorithms to process and analyze large and complex datasets utilizing SAS in Unix and Windows environments, and SQL, VB, MS Excel and/or C/C++; 
·         Statistical analysis, data modeling, hypothesis testing and data visualization;  
·         Multi-dimensional segmentation of data for modeling purposes; 
·         Model driver identification, model design, data regressions and risk model fitting;  Statistical significance test design, hypothesis testing and model performance metrics; 
·         Writing and reviewing technical model documentation for risk models; 
·         Measurement of credit risk and credit risk analysis; and Implementation, testing, validation and documentation of models for risk management purposes.   Excellent communication skills.

 To answer your questions below:
(1)     can have either Java or C++ but need to be strong in one or the other
(2)    should have experience Data Mining SAS
(3)    needs to have 3-5 years of experience as the position is VP level
(4)   should have a masters or PHD in a related field
(5)    Retail/ Econometric or credit model experience is a plus
(6)   Does not need to come from banking industry
Jason Vu
The Leverage Group
139 East 23rd Street
New York, NY  10010
Ph. 201-839-6319
permanent email:

Wednesday, 16 October 2013

Inaugural SCS Colloquium: Thursday, October 17 at 3:30pm in DC1302

To fourth year CS students:

If you are interested in pursuing graduate students then come out to the inaugural colloquium of the newly revived SCS Colloquium series this Thursday (October 17).

The idea of this series is to foster scientific community, discussion and buzz in the School. It will feature local and visiting speakers, with talks aimed at a general CS grad/faculty audience.

I hope to see you all at the talk, and at the reception in the Fishbowl afterwards!


SCS Colloquium

Speaker: S. Keshav
Cisco Systems Research Chair in Smart Grid
David R. Cheriton School of Computer Science

Date and Time: Thursday, October 17, 2013 at 3:30pm - 4:30pm

Location: DC1302

Title: Information Systems and Science for Energy


The generation, distribution, and consumption of energy lie at the foundations of modern civilization. Traditional energy systems are centralized and carbon-intensive, with minimal energy storage, infrequent monitoring, and inefficient models of consumption. In contrast, future energy systems will incorporate tens of millions of stochastic renewable-energy sources and vastly more storage. Unlike the consumers of today--information poor, control poor, and energy rich--driven by the availability of pervasive communication, control, measurement, and computation, future consumers will be information rich, control rich, and energy frugal. Moreover, future energy systems are likely to have an architecture that resembles the Internet, i.e., large-scale, loosely-coupled, distributed, and heterogeneous. My research hypothesis, therefore, is that technologies and concepts originally developed for the Internet will play a key role in future energy systems.

Given this overall motivation, the focus of my research group is on three disruptive technologies: electric vehicles, storage, and distributed renewable energy sources, especially solar energy. We have studied these elements in the context of smart homes and buildings, and in the distribution network. In this talk, I will touch on some examples of our work and discuss the potential for computer science researchers to tackle open problems in energy systems.

Reception to follow at 4:30 in the Fishbowl

Tuesday, 15 October 2013

Looking for Student to Help Create Social Anxiety App

The psychology department of Wilfrid Laurier University is looking to hire a student to help create an app for individuals with social anxiety. This would be a paid position, running a maximum length of 3 weeks. The app would need to be up and running by the end of the 2013 Fall semester.

The student must be capable of programming and writing code for an app. If you are interested in the position or would like any further information, please contact Kalen Orme by October 25th, at

Wednesday, 9 October 2013

Fall Open House: Call for CS volunteers

Call out for computer science volunteers!

Help future students learn about computer science by sharing information about our programs, student life, and more! Assist as a tour guide and show families around our academic buildings.

WHEN: Saturday, November 2, 2013, 10 am – 4 pm
WHERE: Davis Centre

Volunteers will receive a free lunch and t-shirt!

Volunteer orientation: Wednesday, October 30 | 4:30 – 5:30 pm | DC1302. Snacks will be provided. 

To participate: Contact Nick Murphy, Volunteer Liaison
  • Email:
  • Twitter: @nickmurphyUW #CSFOH2013
Math volunteers can sign up with Gayle Goodfellow:

Tuesday, 8 October 2013

The Hour of Code is Coming

This December, to celebrate Computer Science Education Week, we’re organizing a massive campaign to encourage 10 million students (and adults) to try an Hour of Code. This will be the largest initiative of its kind, ever.

Please help us recruit your local school, community organizations, or even your company to participate.  
Learn more.

What’s the Hour of Code?

It’s an introduction to computer science designed to demystify “code” and show that anyone can learn the basics. There will be a variety of hour-long tutorials everyone can do - on a web-browser, tablet, smartphone, or even with no computer at all.

How can you help?

  • At your local school: Share this handout with your teacher or the principal.
  • At your company: Share this handout with your manager, or the CEO.
  • In your community: Use this handout to recruit a local group - boy scouts club, church, university, veterans group, or labor union. Or host an Hour of Code “block party” for your neighborhood.

Calling all students – regardless of age

Computer science is an important foundation for all students, for all careers. Too many people think programming is hard or requires math; the Hour of Code is designed to inspire.

Help your school win a computer lab will gift 50 class-sets of laptops to 50 lucky schools, one in every state in the US. Ask your local school to plan an Hour of Code for every grade to qualify.

Let's make history: Help bring 10,000,000 students to try an Hour of Code

Non-English language support

The Hour of Code materials will be available in several languages. If you want to help us as a volunteer translator, let us know.
Thank you for your support,

Hadi Partovi

Friday, 4 October 2013

Osler's Kiss My App Programming Contest

Osler’s Kiss My App contest is asking full-time college and university undergrads from across Canada to design an iOS app that will help thousands of patients that come through our doors every year.

What’s the catch? There isn’t one! A sweet $10,000 prize, excellent resume padding and good karma await the winning student or team at the end of the contest.

This is where you come in.

We know that faculty and student associations are tapped into the crazy deep talent pools at Canadian colleges and universities. We need you to help us spread the word.

Forward this email. Post on Facebook. Send a tweet. Hire a skywriter. Do whatever you can to get students at your school involved!

Start by visiting the Kiss My App site to get full details on the contest.

Thursday, 3 October 2013

CS Student Projects from Kayak, Groupon & MongoDB

MindSumo just added 3 awesome new challenges from Kayak, Groupon and MongoDB. These challenges are geared specifically toward CS students and have cash prizes and job/internship interviews as rewards.

Tenure-Track Position at Concordia, Montreal

I would be grateful if you can please circulate our ad for one tenure-track position at any rank. We will consider ALL applications but we are particularly interested in candidates with expertise and research in systems and networks with an emphasis on topics such as cloud computing, future Internet architectures, infrastructure-less networks or big data management.

The ad is available at:

Many Thanks,
Sudhir Mudur

Learn how the Berkeley Master of Financial Engineering Program can launch your finance career – Online Info Session Oct. 2

Dear Students,

If you are interested in careers in industry after you graduate, the Berkeley MFE wants to speak with you.

The Berkeley Master of Financial Engineering program invites you to join us online on October 2 to join executive director Linda Kreitzman, admissions staff, and current students for an information session and Q&A. During our session, Linda Kreitzman will conduct on-the-spot resume reviews and let you know how to prepare for a career in finance. You will also learn about admission to the Berkeley MFE, career paths in finance, and how we work with students to tailor their careers post-MFE.

For more information and to RSVP, you can go to our website ( or see our full event listing here:

We look forward to seeing you at one of our upcoming events. If you have questions about the Berkeley MFE, please do not hesitate to contact us.

Kind regards,

The Berkeley MFE Admissions Team
+1 (510) 642-4417
Twitter: BerkeleyMFE

Tenure-track faculty position in Computer Science at U.S. Naval Academy (Annapolis, MD)

I am a PhD grad from Waterloo in 2011 and I'm now an Assistant Professor at the US Naval Academy.You do NOT have to be in the US military for the position below or take part in any kind of military training; in fact, you don't even have to be a US citizen! We are simply seeking the most-qualified candidates, and I'm sure there are a few excellent PhD students or postdocs at Waterloo who might be interested.

If anyone has further questions about the department or what it's like here, they can reach out to me. If they have specific questions about the job search, they should contact Prof. Luke McDowell,

Formal job ad follows.

Dan Roche

Subject: Tenure-track faculty position in Computer Science at U.S. Naval Academy (Annapolis, MD)

The U.S. Naval Academy's Computer Science Department has an opening for a tenure-track faculty position at the Assistant Professor level. The Naval Academy is an undergraduate institution located in historic downtown Annapolis, Maryland on the Chesapeake Bay.

The Computer Science Department offers majors in Computer Science and Information Technology, and contributes to a new interdisciplinary major in Cyber Operations. We currently have 100 CS majors, 70 IT majors and a faculty of 18. In addition to courses for CS, IT, and Cyber Operations majors, we also teach a course on cyber security to the entire freshman class.

Applicants must have a dedication to teaching, broad teaching interests, and a strong research program. Applications are encouraged from all areas of computing research.

The Naval Academy is a teaching-focused undergraduate institution, but among such schools is unusual for supporting and cultivating a high degree of faculty research (in part through research funding and reasonable teaching loads). This is a unique opportunity for the right individuals to join a dynamic program and to have significant impact on future leaders. More info can be found at this announcement:

Tuesday, 1 October 2013

Two Open Faculty Positions at the University of Manitoba

Hi, I'd appreciate it if you could circulate the ad for our two open faculty positions (primary interests: bioinformatics, data management/security, mobile computing). Closing date is Nov 30.

The ad is available at: