Friday, December 4, 2020

Internship Opportunities

Looking for a 2021 Internship? The Amstat website has information on opportunities available nationwide for both undergrad and graduate students.

Summer Research Experience - Santa Fe Institute

The Santa Fe Institute (SFI) is currently recruiting undergraduate students for its 2021 Undergraduate Complexity Research (UCR) program. 

Quick Facts:

  • 10-Week Summer Residential Program
  • Will be offered virtually if necessary due to the pandemic (read more)
  • Research will be conducted under the guidance of an SFI researcher
  • Final presentations are given by students
  • Room, Board, and Travel support provided
  • Stipend = $600/week

More information available on the program site or email questions to education@santafe.edu.

Monday, November 30, 2020

UCSD Biostatistics Graduate Programs

 

Fall 2021 applications are now open for the UCSD Biostatistics PhD and MS programs in the Division of Biostatistics within the newly inaugurated Herbert Wertheim School of Public Health & Human Longevity Science (HWSPH).  We are an integral part of the research intensive UCSD Health Sciences campus, a premier academic medical center, with research funding of nearly $1 billion annually.

 

Deadline to apply:  January 6, 2021

 

 Please visit UCSD website for more information:  https://ph.ucsd.edu/biostat/

Big Data Summer Institute - Univ of Michigan School of Public Health

Transforming Analytical Learning in the Era of Big Data: A Summer Institute in Biostatistics Program

 

2021 Virtual Program Dates: June 7-July 30

The Big Data Summer Institute, a SIBS program, is an interdisciplinary training and research program in biostatistics that introduces undergraduate students to the intersection of big data and human health — a rapidly growing field that uses quantitative analysis to help solve scientific problems and improve people’s lives. 

This year's 8-week virtual program will be part-time and flexible - approx. 2-3 days/week.

Visit the University of Michigan website for program details and information on how to apply.

Thursday, November 12, 2020

JOB OPPORTUNITY

 Student Assistant - Planning and Local Assistance, Caltrans (San Luis Obispo)

The California Department of Transportation (Caltrans) in San Luis Obispo, is seeking to hire a student to assist the Planning and Local Assistance team with planning efforts, research, and data management in order to gain real experience in the field of transportation planning and Geographic Information Systems (GIS).

Click here for a detailed job description and information on how to apply.

Monday, October 5, 2020

Applying to PhD Programs in Statistics?

STUDENT PANEL
Tuesday, October 13, 4:00 pm PST

Panel will include graduate students from UC Berkeley and University of Michigan

  • Hear details about the application process, the department cultures and more
  • Access a repository of application materials
  • Ask your own questions at our open Q&A

Register online.

Thursday, September 17, 2020

Developer Student Clubs - Cal Poly, SLO

Developer Student Clubs (DSC) is presented by Good Developers and is new to Cal Poly this year. DSC's are university based community groups for students. By joining a DSC, students grow their knowledge in a peer-to-peer learning environment and build solutions for local businesses and the community.

Must be interested:

  • Technical Projects
  • Google Developer Technology
  • Solving Local Problems Through Tech
  • Networking with like minded students across the nation 

Info Night: Tuesday, September 22nd, 6pm

RSVP on Facebook @Google DSC SLO Club


Wednesday, September 16, 2020

Mathematical Modeling Competition (MCM) and Math 371 (FQ20)

 

The MCM is an international competition, held over 4 days, where teams of three undergraduates construct mathematical models to investigate and present solutions for real world problems. Teams choose one of three problems posted online at the start of the contest and submit a detail report of their model and solution within 4 days: problems appear Thursday, 5pm and reports are due online before Monday, 5pm. Generally one of the problems is designed for modeling using continuous mathematics, one for modeling with discrete mathematics, and one typically involves the analysis of a given data set. Topics are often drawn from real world issues, but some are more whimsical. Some recent problems:
  • Design a drone-based disaster relief program for Puerto Rico after a hurricane.
  • Modeling the merging of traffic on a multi-lane highway after a toll booth.
  • Build a mathematical model to assist in a search for a lost plane that crashed in the open ocean.
  • Model the behavior of the dragons from the Game of Thrones fictional world including their impact on the local eco-systems.
The Mathematics Department provides space and support for the competing teams during the contest. More information and the problems from the contest of many previous years can be found on the web site: http://www.comap.com/undergraduate/contests/mcm/

Please note: Math 371, Math Modeling Seminar is a 2-unit support course for the MCM. It is expected that all students enrolled in Math 371 will participate in the competition. However, you do not need to enroll in Math 371 to participate in the contest. The contest is open to all majors. The course is scheduled to meet MW 6-7pm.
 
If interested in joining the team, please email Dr. David Camp in the Cal Poly Math Department

Insurance Analyst Intern with CSAA (AAA) -- Summer 2021

Are you interested in solving a variety of business problems using data-driven insights?

What you’ll do

  • Work that matters!  Own a project start to finish and support analysis to drive profitable growth.
  • Learn about a dynamic industry!  Insurance product management is a fast paced career, adapting to changes in regulation, competition, and technology.
  • Develop technical and analytical skills!  Work with real data and learn to understand the story behind the numbers.
  • Discover your career!  Meet with leaders across the organization and hear how they’ve accomplished their professional goals.
  • Present your results!  Your work matters – you get to share it with the people who care about the results.

Who we’re looking for:

Our ideal candidate is a high-energy, high-impact individual who has the ability to provide analytical and statistical insights with data to support our strategic efforts. We seek someone who is enthusiastic to learn new concepts and committed to self-development. Having a keen analytical mind and a sharp eye for the details is a must, as is the ability to effectively communicate in front of others.

  • Strong research, statistical, analytical, processing, and mathematical skills with the ability to structure analysis
  • Self-motivated and results-oriented professional with a strong written or verbal communication skill
  • GPA 3.0+
Job Title: Insurance Analyst - Summer 2021 Internship
Requisition Number: R4108
Location: Walnut Creek, CA
 
For more information and to apply click here.
 

Thursday, September 10, 2020

Looking for an Actuarial Internship in Health?

Check out Milliman!

Milliman is the country’s most prestigious actuarial consulting firm, with offices in major cities worldwide. We are currently recruiting to fill full time internship positions for the Summer of 2021. A successful candidate will possess excellent computer, technical, communication, and interpersonal skills, and will be self-motivated and driven to achieve. Intellectual curiosity, teamwork, and a strong desire to learn is a must. Our practice has locations in Denver, Houston, Phoenix, and Salt Lake City - Candidates will be prompted to rank their preference in location in the application process. Requirements:

  • Junior or Senior bachelor’s degree candidates pursuing actuarial science, mathematics or another major with quantitative course work
  • At least one actuarial exam passed
  • Solid understanding of basic actuarial concepts
  • Proficiency in Microsoft Office
  • Prior internship(s) or actuarial-related work experience is beneficial but not required
  • This practice of Milliman does not allow for sponsorship in order to maintain or obtain an employment authorizing status/visa or other form of employment authorization in order to legally work in the United States. Applicants must be authorized to work in the United States on a full time basis without sponsorship from Milliman presently or in the future.

Please apply online at: https://bit.ly/3bFFUFE

We look forward to hearing from you!

Milliman, Inc. is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, sex, religion, national origin, age, protected veteran status, disability status, or any other characteristic protected by law.

Thursday, September 3, 2020

Fellowship Opportunity - Marine Data Integration

We are looking for a highly motivated student to use multivariate statistical approaches to integrate several long-term biological, physical, and chemical datasets collected by Cal Poly researchers for over a decade in local coastal waters. Integration of these long-term data will enable us to better understand how changes in environmental conditions influence ocean biology (plankton through fish) and improve predictive capacity in our local marine ecosystem. The student must have strong quantitative skills including the ability to code in R, manipulate data sets, and perform a range of statistical analyses. No background in oceanography is required. The student will have the opportunity to engage with an interdisciplinary research team.  

 

The fellowship opportunity comes with a stipend (issued through financial aid) of $1500 for the fall quarter. There is the potential for continued involvement in the project, with up to three quarters of stipend support ($1500 per quarter).  

 

To have an opportunity to be selected for this fellowship, please email the following materials to Dr. Pasulka (apasulka@calpoly.edu) using the subject line Marine Data Integration Fellowship

1. A copy of your resume 

2. 1-2 paragraphs stating your research interest and relevant experience 

3. The contact information for 2 reference 

 

Deadline to apply is September 14 2020

Monday, August 17, 2020

New Cal Poly Club - Google Developer Student Club

My name is Kelly Choy and I am the Google Developer Student Club Lead for the 2020-21 school year at Cal Poly. I am recruiting for my core team to start this newly established community on campus!

Developer Student Clubs (DSC) are university-based community groups for students interested in Google developer technologies. Students from all undergraduate and graduate programs with an interest in growing as a developer are welcome to join. By joining a DSC, students grow their knowledge in a peer-to-peer learning environment and build solutions for local businesses and their community. DSC is part of the Google developers community which aims to help each other learn more about technology! As long as you have a passion for technology and learning, it does not matter what major you are!

If you are interested, please apply!
https://forms.gle/WQX4e2rBu5hvQAYx9

Feel free to reach out to me at kchoy03@calpoly.edu or DSCxSLO@gmail.com if you have any questions!

Best,
Kelly Choy (DSC Lead)

Thursday, August 6, 2020

Upcoming Virtual Women (GROW) 2020 Conference

The Women (GROW) 2020 conference has been moved to an online format and will now take place in three sessions on September 13th, October 18th, and October 24 via Zoom.  GROW 2020 is aimed at female-identified undergraduate students who may be interested in pursuing a graduate degree in the mathematical sciences and is open to undergraduates from around the U.S.  The conference will be hosted at the University of Chicago this coming fall.  Further details are available on the conference webpage, and there is an application form for students who are interested in attending. It will remain open until September 1st. 

Monday, July 20, 2020

Student Data Analysis Position at Cal Poly



Dr. Anurag Pande is a transportation engineering professor at Cal Poly and uses statistical analysis in his teaching and research regularly. If you would be interested in helping him with research/instruction using your R skills please reach out to him by email:

apande@calpoly.edu at your earliest convenience.

The work is paid in the range of $15-$18 per hour and there would be 5 to 10 hours of work every week. It will be data analysis/processing tasks and possibly teaching some engineering students to do it as well.

When responding to Dr. Pande, please let him know of your weekly availability for the following week.

Wednesday, July 8, 2020

Upcoming Competition: Mathematical Contest in Modeling

There's an international competition in mathematical modeling held every year over 4 days in January or February called the Mathematical Contest in Modeling (or MCM) This contest is open to any undergraduate student enrolled at Cal Poly (full or part-time) and is appropriate for students at any level: first-year students to those about to graduate. It is open to any major as well - it can be a competitive advantage in the MCM to have an interdisciplinary team.

We offer a support 2 unit support course, Math 371, to coach the teams competing the MCM. This year, Math 371 will be offered in the Fall quarter (FQ20), MW 6-7pm.

You do not need to enroll in Math 371 to compete in the MCM, but it's strongly recommended that you do -- epsecially if you haven't not competed in the MCM before. Details about the MCM competition and the Math 371 course are given below. If you are interested in the competition, please contact me and/or enroll in Math 371.

-------------------------

The MCM is an international competition, held over 4 days, where teams of three undergraduates construct mathematical models to investigate and present solutions for real world problems. Teams choose one of three problems posted online at the start of the contest and submit a detail report of their model and solution within 4 days: problems appear Thursday, 5pm and reports are due online before Monday, 5pm. Generally one of the problems is designed for modeling using continuous mathematics, one for modeling with discrete mathematics, and one typically involves the analysis of a given data set. Topics are often drawn from real world issues, but some are more whimsical. Some recent problems:

Design a drone-based disaster relief program fro Puerto Rico after a hurricane.
Modeling the merging of traffic on a multi-lane highway after a toll booth.
Build a mathematical model to assist in a search for a lost plane that crashed in the open ocean.
Model the behavior of the dragons from the Game of Thrones fictional world including their impact on the local eco-systems.

The Mathematics Department provides space and support for the competing teams during the contest. More information and the problems from the contest of many previous years can be found on the web site: http://www.comap.com/undergraduate/contests/mcm/

Math 371, Math Modeling Seminar, a 2-unit support course for the MCM. It is expected that all students enrolled in Math 371 will participate in the competition. However, you do not need to enroll in Math 371 to participate in the contest. The course is scheduled to meet MW 6-7pm.

Dr. Charles D. Camp
Assistant Professor
Mathematics Department
California Polytechnic State University
San Luis Obispo, CA 93407-3407
office: 25-309
ph: (805) 756-1661
fax: (805) 756-6537
email: camp@calpoly.edu

Tuesday, June 16, 2020

Call for Posters: Data Science and Advanced Analytics Conference


Call for Student Posters


Deadlines

  • Student Poster Submission Due: 3 Jul. 2020
  • Student Poster Notification: 26 Jul. 2020
  • Student Poster Camera Ready Due: 9 Aug. 2020


Student Poster Session
DSAA’2020 will feature a peer-reviewed Student Poster session to showcase state-of-the-art and early-stage research developments by students in data science and analytics disciplines on topics that are of interest to either the research or the application of data science and analytics.

All accepted posters will be presented in the Student Poster sessions, specifications for preparing the posters will be given separately.

Paper Formatting, Length, and Double-blind Reviewing
The Student Poster paper length is a maximum of two (2) pages. The format for Student Poster papers is the standard 2-column U.S. letter style IEEE Conference template. See the IEEE Proceedings Author Guidelines: https://www.ieee.org/conferences/publishing/templates.html for further information and instructions.

All poster submissions will be double-blind reviewed by the Program Committee on the basis of technical quality, relevance to the conference’s topics of interest, originality, significance, and clarity. Author names and affiliations must not appear in the submissions, and bibliographic references must be adjusted to preserve author anonymity. Submissions failing to comply with paper formatting and authors anonymity will be rejected without reviews.

Because of the double-blind review process, non-anonymous papers that have been issued as technical reports or similar cannot be considered for DSAA’2020. An exception to this rule applies to arXiv papers that were published in arXiv at least a month prior to the DSAA’2020 submission deadline. Authors can submit these arXiv papers to DSAA provided that the submitted paper’s title and abstract are different from the ones appearing in arXiv. Papers that appear in arXiv from the DSAA’2020 submission deadline until the review process has ended, are not allowed.

For more information visit http://dsaa2020.dsaa.co/call-for-posters/

Monday, June 15, 2020

On Campus Stats/Data Student Position: The Mustang News


The Mustang Media Group, specifically Mustang News, is looking for someone who is eager to have hands-on experience gathering, interpreting, and visualizing data. This is a paid position. Last year, we had a graduating statistics senior who worked primarily with our news data team The Hill. This year's responsibilities included:
  • Gathering and cleaning data
  • Interpreting statistics
  • Consulting on/producing visualizations for Mustang News stories
The previous person in this position also mentioned developing scripts to scrape data online using R, so some familiarity with that program would be appreciated (but is not required).

If a student is interested, they can apply at https://apply.mustangmediagroup.com/editorial/data-reporter/

Wednesday, May 13, 2020

MS in Data Science at San Jose State University

The Department of Computer Science and the Department of Mathematics and Statistics have combined their existing talents and resources to offer a MS in Data Science. This degree is designed for students with an undergraduate degree in the sciences or engineering, and it provides both mathematical and algorithmic foundational knowledge and practical programming skills for data science careers. Upon completion of this program, students will be able to:

Design and implement complete solutions using massive amounts of data based on artificial-intelligence, machine-learning, or statistical-analysis methods.
Design and implement new methods to capture and analyze massive amounts of data.
Use and improve existing tools for capturing and analyzing massive amounts of data.

This degree assists those with a baccalaureate degree in the sciences or engineering to pursue a data science career by providing them with a rigorous and affordable education in mathematics, statistics, computer science and machine learning. Graduates will appeal to a number of data-based careers including but not limited to data scientist, data analyst, data mining specialist, machine learning engineer, and data and analytics manager.

TA positions are available to qualified applicants. TA's get a partial or full in-state tuition waiver and a salary, both of which depend on the teaching assignment. Applications are still be accepted to theMA Math, MS (Applied) Math and MS Statistics programs as well. The application deadline is June 1.

Visit the MS Data Science website to learn more.

Apply Now






Thursday, April 30, 2020

Data Science Fellowship Opportunity



If you will be a full-time student next academic year, please consider applying to be a Data Science Fellow for 2020-21. The fellowship comes with a $5,000 stipend. You will be paired with a faculty mentor and be involved in data science research, outreach, and/or curriculum development. There will also be opportunities to interact with the other Data Science Fellows (both at Cal Poly and at UCSB).

Here is the link to the application.

We are extending the application deadline to May 8 and the deadline for letters of recommendation to May 15.

Please don't hesitate to contact Professor Ventura (jventu09@calpoly.edu) or myself if you have any questions.


Monday, April 20, 2020

ASA Undergraduate Career Fair



The American Statistical Association is launching a FREE Virtual Undergraduate Career Fair for 2020 bachelor’s degree candidates. As described by the ASA: 

This service will feature valuable tools and resources to support the transition from college graduate to early-career professional.

This virtual experience includes:
  • An online Résumé Repository for résumé review and feedback by established ASA members.
  • Access to employers who are participating through our built-in message service.
  • Valuable resources for résumé development, writing cover letters, and tips for interviews.
As ASA Fellow and former president, David Morganstein, will present the first Virtual Career Fair webinar and Q&A, JOB SEARCH 101. Scheduled for April 29 at 3:00 p.m. EST.

More information for students (including the ability to sign-up for updates and register for the webinars) and employers is available at https://ww2.amstat.org/virtualcareerservice/

Even if you don't participate in the free career fair and webinars, there are some nice documents about writing cover letters, resumes, and interviewing

Wednesday, February 19, 2020

Friday, January 31, 2020

Free SAS Webinars

SAS is offering several free webinars, some of the topics for February and March include:

  • Have your Cake and Eat it Too - Using Open Source with SAS
  • Analytics 101: Part 1
  • Are Data Privacy and Customer Experiences an Oxymoron?
  • The Data Scientist Learning Journey: AI and Machine Learning

Use the following link to view their upcoming schedule and to register.

https://www.sas.com/en_us/webinars.html

Thursday, January 30, 2020

ASA Statistical Learning & Data Science Conference (SLDS 2020)

SLDS 2020 (asaslds.github.io/SLDS2020/) is again a joint event with the Section on Nonparametric Statistics of ASA, which will be held in Irvine, California on May 27-29, 2020.

This year, we are rolling out a Student Paper Competition sponsored by LinkedIn, associated with a contributed poster session (with a poster award sponsored by Two Sigma). The deadline for submission is February 15th, 2020.

Submission form: forms.gle/P5QuwL41JgzJgkMS9 (Deadline 2/15/2020)

SLDS conferences bring together the vibrant community at the interface of Statistics and Data Science, with a lot of networking and learning opportunities. SLDS 2020 will also feature
Keynote talks from Deepak Agarwal (LinkedIn), Regina Liu (Rutgers) and Jane-Ling Wang (UC Davis)
More than 47 invited sessions organized by the SLDS 2020 program committee
Invited short courses (May 26, 2020) on Deep Learning, AI and Precision Medicine, offered by Annie Qu (UC Irvine), Xiao Wang (Purdue), Edgar Dobriban (Penn), Haoda Fu (Eli Lilly). Seats are limited.
Lunch panels will offer opportunities for discussing challenges and opportunities faced by statisticians in light of data science.
And much much more ...

Find out more at asaslds.github.io/SLDS2020/.

Registration and Hotel reservation with a group rate are both open. We reserved a limited block of rooms at the conference venue, Hyatt Regency Newport Beach. We look forward to seeing you'all in Irvine!

Monday, January 27, 2020

Upcoming Conferences - Travel Funding Available


Dr. Kelly Bodwin has put together the following list of upcoming conferences. The department would like to encourage you to consider submitting your work to conferences. These conferences are also a great chance to meet people in the field, and they frequently lead to job and grad school connections. 

The Statistics department does have funding available to support student travel. Funds are limited, so if you are considering attending a conference please contact Katie Doctor (kdoctor@calpoly.edu) in the Statistics Department office ASAP to discuss the possibility of receiving funding.

UseR
July 7-10
St. Louis, MO
Submission Deadline: Feb 3rd
This is the main annual R-focused conference.
For this one, I don't know if they do posters or not - you would submit an abstract here and see what happens!
Make sure your abstract emphasizes the R aspects of your project.

Knowledge, Data, and Discovery
August 22-27
San Diego, CA
Submission Deadline: Feb 13
This is a very well-respected conference for computer science, statistics, data science, etc.
You would probably want to submit in the "Applied Data Science" category, in the "Evidential" sub-category.
This is a fairly competitive conference, with no poster format option, so don't be discouraged if you are not accepted.

SDSS 2020
June 3-6
Pittsburgh, PA
Submission Deadline: March 10
This is a smaller, data-science focused conference. Two of last year's Senior Project students attended.
I would suggest submitting an e-poster.

Women in Statistics and Data Science
October 1-3
Pittsburgh, PA
Submission Deadline: April 2
This conference is similar to SDSS, but with a focus on female and nonbinary presenters and attendees.
Male-identifying folks are welcome to attend and sometimes present, but you are less likely to be selected.

Joint Statistical Meetings
August 1-6
Philadelphia, PA
Submission Deadline: April 16th
This is the largest stat conference very year. It is fun to attend because of the variety, but it is less fun to present at because there are SO many talks, attendance is typically low.
For this one, you could reasonably submit for a short talk rather than only a poster - they may "downgrade" you to a poster anyways, but it can't hurt to try!

WUSS 2020
September 9-11
San Diego, CA
Submission Deadline: July 19
This conference was previously focused on SAS, but is now opening up to all statistical software.
As a bonus, Dr. Glanz is a director for this conference, and I will be in attendance

Thursday, January 23, 2020

Upcoming Hackathon - SLO Hacks





SLO Hacks 2020, Cal Poly's largest student-run hackathon, is happening on February 28-March 1! If you’ve ever wanted to create an app, design your dream game, or practice your pitching skills, this is the event for you. We accept all majors and skill levels, and hope that you’re excited for 36 hours of making your ideas come to life.

We'll also have a lot of opportunities to network and even find an internship/full-time job with our corporate sponsors through workshops, sponsor booths, and mentorship.

Did we mention that there’s FREE food, drinks, snacks, and swag during the event?

If this sounds interesting to you, apply at https://www.slohacks.com/apply! Applications close on February 7th.

Check out the event page here: http://bit.ly/SLOHacks2020FB

Skilled in UI/UX design, app and web development, hardware, graphic design, or data science?

Sign up to be a MENTOR for the event here-> http://bit.ly/SH2020MentorApp

Reminder: Statistics Project Competition (USPROC)


Are you working on a cool class project or other project? How about entering in the Undergraduate Statistics Project Competition sponsored by the Consortium for the Advancement of Undergraduate Statistics Education and the American Statistical Association? The 2nd deadline is approaching:

  • 26 Jun 2020 - 2nd submission deadline (for Winter/Spring 2020 research activity)
For more information visit https://www.causeweb.org/usproc/ 

Friday, January 17, 2020

UG Research Experience Opportunity @ Valparaiso University


Join Prof. Karl Schmitt and Prof. Ruth Wertz at Valparaiso University in a data science Research Experiences for Undergraduates (REU) during May 18th - July 24th (10 weeks).

We are looking for two undergraduate research students to analyse survey data from introductory data science courses (offered at Brown University, Smith College, and Valparaiso University) using text mining, machine learning, and statistical analyses. The research students will conduct typical text-mining activities such as scrapping data, cleaning, and processing using natural language processing techniques. The results are expected to influence the design and instruction of data science courses.

Each student will receive a stipend of $4,000 for their participation in the program. Travel expenses up to $500 to Valparaiso will be covered. Housing will be provided by Valparaiso University. We also anticipate supporting student travel to conferences to present the outcomes of the REU research (either over the summer or later in the year). Students will participate in a number of social and research-related activities with other research students on campus.

Eligibility: Only US citizens or permanent residents are eligible for funding. Participants must be undergraduate students at the time of participation.

Preference will be given to students with experience in: Programming (preferably Python, though R or other languages acceptable) Introductory Statistics (or more)

Beneficial (but not required): Experience/Course Work in Machine Learning (especially natural language processing)

For more information visit