Hiring a Student

Why Hire a SIP Student?

The Science Internship Program is a paid, supervised work experience opportunity for students in the Faculty of Science, ALES and Campus St. Jean. In this program, our students gain valuable, real-world experience through full-time employment in positions related to their field of study. By hiring our students, you will have more staff available to meet project deadlines and the opportunity to screen for potential new employees. Student interns also bring a new perspective and excitement into the workplace. Our students are very knowledgeable, qualified and enthusiastic about entering the workforce and would make an excellent addition to any team.

Steps to Hire a Student

  • Create an account on our job portal campusBRIDGE, with your email address as your username and a password. Your account will be reviewed by the Career Centre team and they will follow up with you for approval within 1-2 business days.
    • On the campusBRIDGE platform on the left hand side menu the fourth point Employer Resources, provides detailed information on how to navigate the portal.

  • On your dashboard on campusBRIDGE, click on the green button "Post Job". You can select the different job boards you would like to post your position to. 
  • Complete the job posting form with the details like internship length, start and end dates, task description, qualification and application details/ deadlines (remember, the more detailed information you can provide, the higher the interest of students!).
    • Review SIP position requirements here
    • Providing salary information can attract more applicants
    • Detailed position requirements are helpful for students to prepare their cover letters. 
  • Job postings are reviewed and approved within 24 hours
    • If a position is being declined we will contact you regarding the reason. 
  • There are different ways to collect applications from students: 
    • Science Internship Program (SIP)
      • Receive an application bundle after deadline
      • Receive them as they come in
    • Your company’s application portal

  • On your dashboard click on ‘Opportunities" to view all the job postings you have already posted. 
  • Click on the green ‘view app(s)’ button for the respective job posting to view the applications. 
  • You can download individual applications by clicking on the green button ‘Options’ or download all applications or a selection of them by clicking on the blue round menu button with the three dots in the lower right corner. 

  • Interviews can be scheduled through campusBRIDGE or independently.
  • To schedule the interviews through campusBRIDGE:
    • Go back to the list of applicants by looking up the position and clicking on the ‘view app(s)’ button. Update the application status for the different students you want to interview to "selected for interview".
    • Next, click on the blue menu button and click on the green drop down menu "Interview Options" and select "Create an interview schedule". Please follow the instructions and fill in the necessary information on preferred dates, time and location.
    • The SIP team will process your interview schedule and send you the finalized interview schedule. You can also view the interview schedule on your campusBRIDGE profile by clicking on the Interview tab on your dashboard. 
    • Interviews can also be conducted on campus; let the SIP team know if you require a room booked for you.
  • Please inform students who were interviewed but not selected.

  • Notify the SIP team of the selected student. Offers can be extended directly to the student or through the SIP team.
  • Set up an offer letter including the duties, start and end date, department, wage, and if possible, the supervisor's name. 
    • Send the offer letter directly to the student or through the SIP team, however please ensure the SIP team is cc’d. It is important that the SIP team is aware of any offer letters going out to the students.

How Our Students Can Support You

Economic analysis (benefit-cost, impact assessment); policy analysis

Animal nutrition and metabolism; microbiology; immunology; reproductive physiology; genetics and genomics; meat quality; ethology to support optimal health and production efficiency in domestic animal species

Environmental monitoring and field work; laboratory work; drug screening; molecular analysis; statistical analysis and modelling; big data handling; ecology; microbiology; immunology; parasitology; botany; animal sciences; paleontology; toxicology; physiology; neuroscience; data and literature synthesis

Laboratory research, including compound synthesis, analysis, characterization, method development, and QC; analytical services including laboratory method development and documentation;  environmental sampling and monitoring; theoretical and computational chemistry; materials synthesis and characterization

Software systems development (requirement analysis, design, build, test, deployment); machine learning; AI; computational problem solving; database management; user interface design; data structures and algorithms

Planning: GIS and spatial analysis; land-use and site analysis; policy and bylaw review; housing, transportation and demographic analysis; public and stakeholder engagement support; research, report writing and data visualization.

Geoscience: safety-first field work (water sampling, geological and terrain mapping, hazard assessment); spatial analysis and interpretation; lab-based geochemical analyses; environmental impacts and monitoring; resource assessment

Environmental monitoring and field work

Design, production, distribution and consumption of textiles and clothing; marketing and management in fashion industries

Forest industry: forest operations planning (harvest scheduling, road layout); timber inventory and measurements (cruising, plotting, GIS mapping); sustainability compliance (ensuring practices meet regulations); silviculture surveys; forestry inventory crews; tree planting supervision. Government: forest policy implementation; wildfire management planning; pest/disease monitoring (e.g., mountain pine beetle); land-use and resource planning

Environmental consulting firms: forest management plans; sustainability reporting; data analysis (GIS, remote sensing, stats)

Family science: program planning and evaluation; policy analysis; program development; peer counselling and social support. Clothing, textiles & material culture: textile analysis; design; program planning; exhibition curatorship; sustainable practices

Nutritional biochemistry; nutritional physiology; understanding of macro- and micro- nutrients and essentiality to maintain health; other aspects of human nutrition with the ultimate goal to prevent disease and enhance quality of life; food chemistry; properties and nutritional values of food, energy expenditure and balance; roles of nutrition across the lifespan

Data analysis and interpretation; big data and machine learning; mathematical modelling; simulations; creative problem solving; risk analysis and management; mathematical research; financial modeling and economic analysis; biostatistics; scientific communication; education and outreach

Applying chemistry, microbiology and engineering to the technological processes used in the development, manufacturing, preservation, storage and distribution of food products

Laboratory and theoretical (mathematical and computational) research; analysis of models and their explanation of experimental properties; field work

Plant physiology; biochemistry; plant breeding; weed management; plant pathology; rangeland management; issues of crop improvement and production efficiency; sustainable agriculture and environmental health; development of new plant-derived products for health and industrial applications

Critical literature review and synthesis (interpretation and application of literature review findings); survey-based and field research methods; electrophysiology; machine learning methods; experimental and non-experimental research designs; developing and testing hypotheses; ethical data collection with human and animal research participations; data entry and cleaning; data analyses using statistical programs such as R, Excel, SPSS; data interpretation; application and generalization of research findings

Economic/socio-economic analysis; impact assessment