No more applications are being accepted for this job
- Optimize the performance of a Python software package currently under development, aimed at reducing the computational time and resource usage, and increasing portability
- Create clear and concise documentation detailing the optimization process, changes made to the codebase, and instructions for future maintenance and development
- Participate in regular meetings, provide regular progress updates, and collaborate with mentor to achieve project objectives
- Perform data analysis on large datasets using Python to analyze changes in simulated forecasts across different versions of UFS
- Collaborate with mentor to interpret findings and validate results
- Participate in regular meetings and provide regular progress updates
- Must be academically enrolled in a high school, community college, or university and pursuing a program or course of study
- Must meet Academic Standing Requirements; students on academic suspension are not eligible for employment
- Must meet the applicable minimal enrollment standard
- High School student: Regularly enrolled in a high school or participating in a home-schooling program
- Undergraduate and post-baccalaureate student: 6 credit hours per term
- Undergraduate international student: 12 credit hours per term*
- Graduate student officially admitted to Graduate School: 5 credit hours per term
- Graduate international student officially admitted to Graduate School: 9 credit hours per term*
- Proficiency in Python programming, including object-oriented programming principles
- Proficiency in collaboration and communication
- Interest in climate science
- Basic coding skills (e.g., at least one course)
- Proficiency in collaboration and communication
- Proficiency in quantitative reasoning
- Understanding of optimization techniques
- Experience with high-performance computing
- Software development experience with Python
- Experience with Fortran
- Interest in climate science
- Experience with data analysis
- Demonstrated ability to apply quantitative reasoning skills to analyze complex datasets, interpret statistical results, and draw meaningful conclusions.
Undergraduate Research Intern - Corvallis, United States - Oregon State University
Description
Position DetailsPosition Information
Job Title
Undergraduate Research Intern
Appointment Type
Student Employee
Job Location
Corvallis
Position Appointment Percent
100
Appointment Basis
12
Pay Method
Hourly
Pay Period
16th - 15th of the following month
Pay Date
Last working day of the month
Remote or Hybrid option?
Min Hourly Rate
$14.20 (Standard); $13.20 (Non-Urban); $15.45 (Portland Metro)
Max Hourly Rate
$21.00 (Standard); $18.50 (Non-Urban); $21.50 (Portland Metro)
Position Summary
This recruitment will be used to fill two (2) Undergraduate Research Intern positions with the College of Earth, Ocean, and Atmospheric Sciences (CEOAS) at Oregon State University (OSU).
Position (1): Python software optimization intern
Position (2): Climate science research intern
The student worker will work on a project related to the assessment of weather forecasts for a special type of weather forecast made for "sub-seasonal" time scales (about 1-4 weeks in advance). Student will informally join the CEOAS Research Experience for Undergraduate (REU) cohort, which includes orientation, weekly seminars, and group field trips.
Workstations and a desk on-campus for work use will be provided.
Position Duties
Position (1): Python software optimization intern
Full Employment Eligibility Requirements can be found here:
Additional Required Qualifications
Position (1): Python software optimization intern
Position (1): Python software optimization intern
Posting Detail Information
Posting Number
P10707SE
Number of Vacancies
2
Anticipated Appointment Begin Date
06/17/2024
Anticipated Appointment End Date
07/31/2024
Posting Date
02/12/2024
Full Consideration Date
03/09/2024
Closing Date
06/01/2024
Indicate how you intend to recruit for this search
Competitive / Student - open to ALL qualified/eligible students
Special Instructions to Applicants
When applying you will be required to attach the following electronic documents:
1. A Resume/Vita
2. A cover letter indicating how your qualifications, interests, and experience have prepared you for this position
For additional information please contact: Andrea Jenney at
OSU commits to inclusive excellence by advancing equity and diversity in all that we do. We are an Affirmative Action/Equal Opportunity employer, and particularly encourage applications from members of historically underrepresented racial/ethnic groups, women, individuals with disabilities, veterans, LGBTQ community members, and others who demonstrate the ability to help us achieve our vision of a diverse and inclusive community.
OSU will conduct a review of the National Sex Offender Public website prior to hire.
Note: All job offers are contingent upon Human Resources final approval.