Summer 2017

Oregon State University

  

Oregon State University is a leading public research university located in the beautiful Willamette Valley. The Department of Statistics will provide REU students with exposure to the entire data analysis process as it relates to biological research. This is a paid research and training opportunity. Students will analyze DNA sequence data and use statistical methods to determine how the types of bacteria that live in the gut, known as the gut microbiome, associate with health. Ultimately, this project will prepare students to capitalize on the growing professional opportunities in data analytics.

What will I be doing?

Students will work with DNA sequence data from microbiome samples collected from animals to determine how the gut microbiome is affected by environmental conditions and how it associates with health. Working closely with an interdisciplinary team of faculty, each student will develop the skills to conduct a complete data analysis, which includes data quality control, applying statistical and bioinformatics techniques, data visualization. 

A diverse body of faculty members will train students in all of the techniques and skills that they need to learn to complete the project. This includes statistical methodology, programming, and awareness of biological problems. Students will also spend time working in both statistical and biological research laboratories. A typical week's activities will look like the following:

 

Monday

Tuesday

Wednesday

Thursday

Friday

9-10 am

Introduction

 

Research

(Lab Rotation)

 

Team Meeting

 

Research

(Lab Rotation)

 

Team Meeting

10-12 am

Lecture

Lecture

Research

 

1-3 pm

Research

Research

3-4 pm

Group Discussion

Weekly Group

Meeting

  4-5 pm

Group Discussion

Lab Meeting

Career Workshop

Lab Meeting

Why Oregon State University?

Beautiful location. Unique interdisciplinary projects. Intellectually stimulating environment. Come and have fun!

Will I be paid? 

Students will receive an $8000 stipend as part of the REU. This includes expenses for travel and lodging.

When will the REU take place? 

This is a 10-week research and training opportunity that begins on June 19 and ends on August 25.

Who can apply?

  • We encourage students from diverse backgrounds and disciplines with a strong foundation in STEM (science, technology, engineering and mathematics). 
  • Women, minorities and students with disabilities are especially urged to apply.

When do I apply?

  • Application consideration will begin on Jan. 15, 2017 but will remain open until all positions are filled. 

How do I apply?

  • Applications are accepted via email at stat-reu@oregonstate.edu
  • Application consideration will begin on Jan. 15, 2017 but will remain open until all positions are filled. The application pool is now closed; we will be unable to consider any new applications.
  • Your application package should contain the following items:
    • A brief statement of interest describing why you want to join the program and what you currently see as your future plans. Your statement should not exceed one page.
    • A resume/CV. Make sure to include your contact information (email address, etc)
    • The names and contact information of two faculty members who are to serve as your references. No letters are needed at this time. Please list these contacts at the end of your CV.
    • An academic transcript. An unofficial transcript is sufficient for your application. However, we may ask for an official transcript if you are selected as a finalist.

Can international students participate?

Unfortunately, per NSF requirements, applicants to this program must be U.S. citizens, nationals, or permanent residents.

What if I have additional questions?

Please send additional questions to stat-reu@oregonstate.edu

 

Disclaimer

This material is based upon work supported by the National Science Foundation under Grant No. 1560332. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.