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Job Offer: Undergraduate help requirement for a MIR project:Oregon State UniversityJob description:Undergraduate help requirement for a MIR projectBookmark this Posting Print Preview | Apply for this JobPlease see Special Instructions for more details.When applying you will be required to attach the following electronic documents:1. A cover letter indicating how your qualifications and practice have prepared you for this position 2. Transcripts For additional information Contact Us by: Yakun Zhang at yakun.zhang@oregonstate.edu 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 capability to help us achieve our vision of a diverse and inclusive community. Note: All job offers are contingent upon Human Resources final approval. OSU will conduct a review of the National Sex Offender Public website prior to hire. Position DetailsPosition InformationJob Title Undergraduate help requirement for a MIR project 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 $14.70 (Standard); $13.70 (Non-Urban); $15.95 (Portland Metro) Max Hourly Rate $21.00 (Standard); $20.50 (Non-Urban); $21.50 (Portland Metro) Position Summary We are seeking for a Computer Science or Statistics student to join our Soil Mid-Infrared Spectral Analysis project. The ideal candidate should be proficient in R programming and have practice with machine learning. In this function, you will adjust existing code, write new scripts, assist with machine learning tasks, and develop prediction models. practice in web tool development using the R Shiny package is an added advantage This is an excellent opportunity for someone looking to apply their R and machine learning skills in a practical, research-driven context. Python coding practices will be an added benefit for the project Position tasks » code adjustment, optimization and documentation » practice in developing prediction models (PLSR | RF | Cubist | SVM) » webtool developments » Data processing » collaboration » trouble shooting Minimum Qualifications Full Employment Eligibility Requirements can be found here: http://fa.oregonstate.edu/stu-manual/500-employment-eligibility-requiremen ts » 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* *International students may be allowed to carry fewer hours than specified above and still be considered ?full-time? by the United States Citizenship and Immigration Services (USCIS). A reduced course load is approved by the Office of International Services (OIS), and must be provided to the Student Employment Center. Additional Required Qualifications practice in coding in any platform. Python is preferred Preferred (Special) Qualifications R programming language practice in any type of projects that involves Machine Learning concepts Working Conditions / Work Schedule This position offers a valuable learning opportunity for those interested in gaining hands-on practice in an continuing research project. Comprehensive training and close guidance will be provided Posting Detail Information Posting Number P11390SE Number of Vacancies 1 Anticipated Appointment Begin Date 09/13/2024 Anticipated Appointment End Date 12/13/2024 Posting Date 08/20/2024 Full Consideration Date Closing Date 09/02/2024 Indicate how you intend to recruit for this search Competitive / Student - open to ALL qualified/eligible students Special Instructions to candidates When applying you will be required to attach the following electronic documents: 1. A cover letter indicating how your qualifications and practice have prepared you for this position 2. Transcripts For additional information Contact Us by: Yakun Zhang at yakun.zhang@oregonstate.edu 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 capability to help us achieve our vision of a diverse and inclusive community. Note: All job offers are contingent upon Human Resources final approval. OSU will conduct a review of the National Sex Offender Public website prior to hire. Supplemental QuestionsRequired fields are indicated with an asterisk (*).Documents Needed to ApplyRequired Documents» Cover Letter » TranscriptsOptional Documents Skills:
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