CUPE – Winter 2025 – RA – Refining RA

Job title:

CUPE – Winter 2025 – RA – Refining RA

Company

University of Ottawa

Job description

Location where work is to be performed: Main CampusSession: 2025 Trimestre d’hiver | Winter TermFaculty: Faculté des sciences sociales / Faculty of Social SciencesUnit: Department of Economics_Vincent Thivierge_JMJob Classification: Research Assistant (CUPE)Posting Type: Recherche / ResearchCourse Title: NACourse Code: NASection:Supervisor name (if known):Vincent ThiviergeDate Posted: November 21, 2024Applications must be received BEFORE: December 06, 2024Description of tasks (hours): Recherche / Research:130Préparation / Preparation:0Contact avec étudiants / Contact with Students:0Correction – Notation / Grading:0Surveillance / Proctoring:0Formation / Training:0Autre / Other:0Number of positions: 1Expected Enrolment: NAWork Start Date: January 06, 2025Work End Date: April 30, 2025Total Work Hours: 130Language of Work: Anglais | EnglishGraduate Hourly Rate: 50.25Undergraduate Hourly Rate: 31.89Requirements and Nature of Work:To Apply:Please apply through this platform (Workday) AND Please email a CV, contact information for 1 reference, and a small paragraph describing your experience coding in R, using version control softwares and online repositories to vincent.thivierge@uottawa.ca with the subject line “Refining RA position: [Your name]”.OverviewProfessor Vincent Thivierge in the Department of Economics at the University of Ottawa, and Professor Christopher Malloy in the Department of Economics at the University of Oklahoma seek a research assistant (RA) to gather and clean U.S. municipal public finance data. The RA will support the professors’ efforts to analyze the impacts of oil refinery closures on local public finances.Position detailsThe RA will be responsible for a variety of tasks, including, but not limited to:

• Creating a longitudinal dataset of U.S. local municipal finances by gathering, cleaning, and documenting data from (1) the U.S. Census Annual Survey of Government Finances, and (2) the U.S. Census of Government.
• Creating a dataset of U.S. refinery closures by gathering, cleaning, and documenting data from the Energy Information Administration Refinery Capacity Report (Form 820).
• Developing reproducible scripts by using a combination of the statistical language R, the version control software Git, and the online repository service GitHub.
• Meeting with the professors to document the progress in the tasks, and proactively seek guidance if needed

Minimum qualificationsNear completion of an undergraduate degree or enrolled in a graduate degree in economics, data science, statistics, or a related field. The successful candidate should have a good basis in coding in R and RStudio and the ability to communicate the data cleaning tasks to the professors effectively.Preferred qualifications

• Experience with data cleaning with R and RStudio.
• Experience with using version control softwares such as Git, and online repository tools such as GitHub.
• Good verbal and written communication skills.
• Ability to work independently.

Additional Information and/or Comments:All University of Ottawa employees are required under provincial law to successfully complete all mandatory legislated training offered by the University. The list of training requirements may be modified by provincial law. If you are invited to continue the selection process, please notify us of any particular adaptive measures you might require. We may consult with the Health and Wellness sector of Human Resources, if needed. Any information you send us will be handled respectfully and in complete confidence.The hiring process will be governed by the current CUPE 2626 collective agreement; you can click to find out more.The University of Ottawa embraces diversity and inclusion in the workplace. We are passionate about our people and committed to employment equity. We foster a culture of respect, teamwork and inclusion, where collaboration, innovation, and creativity fuel our quest for research and teaching excellence. While all qualified persons are invited to apply, we welcome applications from qualified Indigenous persons, racialized persons, persons with disabilities, women and LGBTQIA2S+ persons. The University is committed to creating and maintaining an accessible, barrier-free work environment. The University is also committed to working with applicants with disabilities requesting accommodation during the recruitment, assessment and selection processes. Applicants with disabilities may contact the academic unit to communicate the accommodation need.Prior to May 1, 2022, the University required all students, faculty, staff, and visitors (including contractors) to be fully vaccinated against Covid-19 as defined in Policy 129 – Covid-19 Vaccination. This policy was suspended effective May 1, 2022 but may be reinstated at any point in the future depending on public health guidelines and the recommendations of experts.

Expected salary

Location

Canada

Job date

Sat, 23 Nov 2024 04:05:13 GMT

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