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Posted 13 days ago

Agricultural Climate Modelling Intern

@ Ontario Soil and Crop Improvement Association

Guelph, Ontario

$25/hrHybridPer diem
Apply now
SIGNALS

Overview

Ontario Soil and Crop Improvement Association is hiring a part-time agricultural climate modelling intern on a term ending March 31, 2027. The intern builds and evaluates farm-level greenhouse gas and carbon models using HOLOS and DNDC, and helps translate results for Ontario agriculture. The role is hybrid in Guelph, 8 to 16 hours a week, at $25 an hour.

Pay:

$25 an hour

Responsibilities:

  • Build and validate farm GHG and carbon models using HOLOS and DNDC
  • Clean and quality-control farm and research datasets
  • Evaluate impacts of agricultural BMPs on emissions
  • Contribute to reports, figures and funder documentation
  • Support translation of results for farmers and stakeholders

Requirements summary:

  • Currently completing a graduate degree in an agricultural or environmental field
  • Experience with agricultural GHG or carbon modelling, or ability to learn quickly
  • Experience with statistics and research data analysis
  • Knowledge of soil carbon and greenhouse gas emissions
  • Proficiency with Microsoft Office and R or Python is needed

Tools & skills

Source and dates

Employer career site / ATS feed · bamboohr

Employer posting date
2026-10-24
First seen by our source
2026-10-25
Source record updated
2026-10-25

These dates describe the source record, not a live verification that the employer is still hiring. Check the original posting.

Job details

SeniorityEntry level
DepartmentResearch & science
Hours per week12
Travelair: none · ground: minimal
Work settingOffice, Home
PositionMostly sitting
Physical demandsphysical low · computer high
LanguagesEnglish
EducationMaster’s degree (required), Doctorate (preferred)
Fields of studyagriculture, environmental science, soil science, agronomy, climate change

Summary and details written by AI from the posting; the employer’s posting is the authority.

Ontario Soil and Crop Improvement Association

Saved company profile

Historical company information from a saved The Jobs API profile (LinkedIn/Crunchbase fields). It is not live-verified; figures may have changed. Missing values remain unknown.

Full company description

The Ontario Soil and Crop Improvement Association (OSCIA) facilitates responsible economic management of soil, water, air and crops through development and communication of innovative farming practices. Founded in 1939, OSCIA is a unique non-profit farm organization. Our dedicated membership represents virtually all commodity groups across the province. Strategic Directions: 1. Producer Awareness 2. Development and Delivery of Stewardship Programs 3. Local Association Development 4. Strategic Alliances and Addressing Consumer Concerns The association is represented by more than 50 local county and district branches across the province and is a significant presence in all the major agricultural areas of Ontario. OSCIA is committed to four strategic directions: producer education, local association development, program delivery and consumer outreach. OSCIA is a member of AGCare, Agricultural Adaptation Council, Canadian Chestnut Council, Ontario Agri-Food Education, Ontario Agri-food Technologies, Ontario Forage Council, and the Soil Conservation Council of Canada.

LinkedIn followers
2,282
People associated on LinkedIn
51
Reported office locations
  • 1-367 Woodlawn Rd W, Guelph, Ontario N1H 7K9, CA
Other recorded names
  • Ontario Soil and Crop Improvement Association
Specialties
  • Program Delivery
  • Research Coordination
  • Producer Support
  • and Communication
Profile identifies a recruitment agency
No

The Ontario Soil and Crop Improvement Association (OSCIA) facilitates responsible economic management of soil, water, air and crops through development and communication of innovative farming practices. Founded in 1939, OSCIA is a unique non-profit farm organization. Our dedicated membership represents virtually all commodity groups across the province. Strategic Directions: 1. Producer Awareness 2. Development and…

FieldValue
IndustryNon-profit Organizations
Company size51-200 employees
HeadquartersGuelph, Ontario
Organization typeNonprofit
Year founded1939
SpecialtiesProgram DeliveryResearch CoordinationProducer Supportand Communication
Open jobs on Jobsy8
LinkedInView page
Job description

Department / Team: Research
Reports To: Senior Manager, Research Programs and Operations
Classification: Part-time (8–16 hours/week); Term ending March 31, 2027
Location: Guelph, Ontario; Hybrid
Compensation: $25/hour
Job Summary / Purpose:
The Agricultural Climate Modelling Intern supports greenhouse gas (GHG) modelling and applied agricultural research activities delivered through the On-Farm Climate Action Fund (OFCAF). The role will support the collection, quality control, modelling, analysis, and interpretation of farm operational, soil health, and GHG data used to assess the environmental outcomes of agricultural Beneficial Management Practices (BMPs).
Working with OSCIA Research and Knowledge Transfer staff, farmer cooperators, service providers, and other project partners, the Intern will develop and evaluate farm-specific GHG and carbon models using HOLOS and the DeNitrification and DeComposition (DNDC) model. The position will contribute to model calibration and validation, regional BMP assessment, program reporting, and the translation of modelling results into practical information for Ontario agriculture.
This internship is primarily data- and modelling-focused, with opportunities to support related research, reporting, and knowledge translation activities as required.
Key Responsibilities & Duties:
Greenhouse Gas Modelling and Analysis
• Build, calibrate, and validate farm-specific models for carbon sequestration and greenhouse gas emissions using HOLOS and the DeNitrification and DeComposition (DNDC) model.
• Evaluate the impact of agricultural BMPs on modelled GHG emissions and carbon
outcomes across Ontario agricultural regions.
• Document modelling assumptions, parameters, methodologies, limitations, and results
to support reproducibility and technical review.
• Collaborate with OSCIA Research and Knowledge Transfer staff, researchers, academic
partners, service providers, and other technical experts to maintain sound modelling and
analytical practices.
Data Management and Quality Assurance
• Assemble, organize, clean, and quality control datasets from farmer cooperators, project
service providers, research partners, and publicly available sources.
• Identify data gaps, inconsistencies, and quality concerns and work with project staff and
partners to resolve issues where possible.
• Maintain clear data documentation, file organization, version control, and records of data
sources and transformations.
• Follow OSCIA requirements related to data governance, confidentiality, security, privacy,
and information sharing.
OFCAF Activity 4 Research and Program Support
• Contribute technical information, analyses, tables, figures, and summaries for internal
reports, funder reporting, research reports, and project documentation.
• Participate in project meetings and provide updates on modelling progress, data
requirements, findings, and emerging issues.
• Support other applied research activities as required.
Collaboration and Knowledge Translation
• Support interpretation of modelling results and identification of key findings relevant to
agricultural BMP performance and greenhouse gas mitigation.
• Work with OSCIA’s Knowledge Translation and Transfer staff to translate key modelling
outcomes into clear, practical information for farmers, agricultural professionals,
funders, and project stakeholders.
• Contribute to presentations, technical summaries, fact sheets, reports, or other
knowledge transfer products as appropriate.
• Other duties as assigned.
Qualifications & Skills:
Education:
Currently completing a graduate degree in an agricultural, environmental, or closely related
discipline such as climate change, soil science, agronomy, environmental science, agricultural
systems, or a related field. Preference may be given to candidates completing a PhD.
Specific Experience:
• Experience with, or demonstrated ability to learn, agricultural greenhouse gas or carbon
modelling tools. Experience with HOLOS and/or DNDC is strongly preferred.
• Experience organizing, cleaning, quality controlling, and analyzing research datasets.
• Understanding of agricultural production systems, soil carbon, and greenhouse gas
emissions.
• Experience with statistical analysis, preparing technical reports, research summaries,
and research data management principles, including data sharing and data security.
• Experience with data visualization, research data interpretation.
• Understanding of data sharing, data security, confidentiality, and research data
management principles.
• Experience preparing presentations, or scientific communications is an asset.
Knowledge, Skills & Abilities:
Knowledge:
• Understanding of GHG emissions, carbon sequestration, soil carbon, and agricultural
BMPs.
• Understanding of applied research methods, agricultural modelling software, data quality
assurance, statistics, and scientific interpretation.
• Knowledge of Ontario agriculture and agricultural production systems is considered an
asset.
Skills:
• Strong data management, analytical, problem-solving, and critical-thinking skills.
• Proficiency with HOLOS and DNDC, or demonstrated capacity to become proficient
quickly.
• Proficiency with Microsoft Office applications and statical software (i.e., R or Python).
• Strong written and verbal communication skills, with attention to technical accuracy and
detail.
• Strong organization, documentation, and time-management skills.
Abilities:
• Ability to work independently while seeking guidance appropriately and contributing
effectively within a multidisciplinary team.
• Ability to manage multiple tasks, maintain accurate records, and meet project deadlines.
• Ability to identify data or modelling issues, investigate possible causes, and propose
practical solutions.
• Ability to maintain confidentiality and exercise sound judgment when working with
research and farm-level data.
Behavioural Competencies:
• Adaptability: Demonstrate flexibility and a willingness to learn in a changing research
and program environment.
• Ethical Behaviour: Ensure personal behaviours align with the Association’s core values
and code of conduct.
• Relationship Development: Establish and maintain positive working relationships with
colleagues and project partners.
• Effective Communication: Speak, listen, and write clearly, accurately, and in a timely
manner.
• Teamwork Development: Work cooperatively with others to achieve shared project
objectives.
• Initiative: Assess and initiate appropriate tasks independently while recognizing when
direction or technical input is required.
• Time Management and Organization: Set priorities, organize work, and monitor progress
toward deadlines.
• Problem-Solving: Approach challenges analytically and focus on practical solutions and
continuous improvement.
• Foster Sustainability: Support work that improves the viability and sustainability of rural
Ontario and Ontario agriculture.
• Continuous Learning: Participate actively in professional development and learning
opportunities.
Working Conditions:
• Hybrid work model combining remote and in-office work, with the position based in
Guelph, Ontario.
• Part-time schedule of approximately 8–16 hours per week; work schedule may vary
based on project requirements and academic commitments.
• Work is primarily computer-based and requires prolonged sitting, typing, data analysis,
and screen time.
• Home office settings require dependable high-speed internet to support virtual meetings,
data work, and online collaboration.
• Occasional travel to research sites, meetings, or project events may be required.
• May require occasional work outside standard business hours to support project
meetings or time-sensitive deliverables.
• Must maintain professionalism and confidentiality when handling farm-level, research,
partner, and organizational information.

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