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Entry Level Computer Science Environmental Jobs in Edmonton, AB

National Bank

Senior Analyst

Edmonton, AB · Hybrid

... Computer Science and Data Science. Completion or progression in CFA and/or FRM would be an asset ... Our dynamic work environments and cutting-edge collaboration tools foster a positive employee ...

National Bank

Senior Analyst

Edmonton, AB · On-site

... Computer Science and Data Science. * Completion or progression in CFA and/or FRM would be an asset ... Our dynamic work environments and cutting-edge collaboration tools foster a positive employee ...

PCL Construction

Business Systems Analyst

Edmonton, AB · On-site

Degree or diploma in business, information technology, information management, computer science, or ... Ability to manage multiple priorities and work effectively in a collaborative team environment.

Fountain Tire

Automotive Tire Technician, Leduc

Leduc, AB · On-site

CA$17 - CA$22/hr

Experienced Automotive Tire Technician wages: $20-$26 per hour + labour bonus * Entry-level ... Basic computer skills * Ability to consistently lift 25 kilograms At Fountain Tire, you'd have a ...

The Brick

Sales Consultant Edmonton Main

Edmonton, AB · On-site

... environment * High school diploma or equivalent * Must be 18 years of age or older * Excellent communication skills * Proven ability to multitask and stay organized * Ability to learn new computer ...

The Brick

Sales Consultant

Scarborough, ON

... paced environment. This vital quality allows you to be a team oriented individual who enjoys ... Ability to learn new computer applications * Flexibility to work all shifts as required, including ...

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All JobsComputer Science Environmental JobsEntry Level Computer Science Environmental JobsEntry Level Computer Science Environmental Jobs in Edmonton, AB

Entry Level Computer Science Environmental information

What are the key skills and qualifications needed to thrive as an entry level computer science environmental professional?

To thrive as an Entry Level Computer Science Environmental professional, you need a bachelor's degree in computer science, environmental science, or a related field, along with foundational knowledge in programming and environmental data analysis. Familiarity with tools such as GIS software, Python or R for data modeling, and environmental databases is typically required. Strong analytical thinking, attention to detail, and effective communication skills are important soft skills for collaborating on multidisciplinary projects and interpreting data. These abilities enable professionals to develop technology-driven solutions for environmental challenges, ensuring accurate data management and impactful results.

What are some typical projects an entry level computer science environmental professional might work on?

As an entry-level computer science professional in the environmental sector, you may work on projects such as developing data collection and analysis tools for monitoring air or water quality, automating environmental data processing workflows, or assisting in the creation of web dashboards for visualizing climate or pollution data. You’ll often collaborate with environmental scientists, engineers, and policy experts to ensure your technical solutions align with real-world environmental goals. These roles provide excellent opportunities to gain experience in both software development and environmental science, setting a strong foundation for career growth.

What is an entry level computer science environmental job?

Entry level computer science environmental jobs are positions that combine foundational computer science skills with a focus on environmental issues. These roles may include tasks such as data analysis for climate research, developing software tools for environmental monitoring, or working on sustainability projects that leverage technology. Often, such positions are found in government agencies, non-profits, research institutions, or private companies with environmental initiatives. Typical job titles might include environmental data analyst, GIS technician, or software developer for environmental applications. These roles are ideal for recent graduates looking to start a career at the intersection of technology and environmental science.

What is the difference between Entry Level Computer Science Environmental vs Entry Level Data Analyst?

AspectEntry Level Computer Science EnvironmentalEntry Level Data Analyst
Required CredentialsBachelor's in Computer Science, Environmental Science, or related fieldsBachelor's in Statistics, Mathematics, or related fields
Work EnvironmentEnvironmental agencies, tech firms focusing on environmental data, research labsBusiness, finance, healthcare, and tech companies analyzing data
Industry UsageEnvironmental monitoring, conservation projects, tech solutions for environmental issuesData-driven decision making across various industries

Entry Level Computer Science Environmental roles focus on applying computer science skills to environmental issues, often involving data collection and analysis related to environmental factors. Entry Level Data Analysts primarily analyze data to support business decisions across multiple industries. While both roles require strong analytical skills and a background in relevant fields, their focus areas and typical employers differ significantly.

What are the most commonly searched types of Computer Science Environmental jobs in Edmonton, AB? The most popular types of Computer Science Environmental jobs in Edmonton, AB are:
What are popular job titles related to Entry Level Computer Science Environmental jobs in Edmonton, AB? For Entry Level Computer Science Environmental jobs in Edmonton, AB, the most frequently searched job titles are:
What job categories do people searching Entry Level Computer Science Environmental jobs in Edmonton, AB look for? The top searched job categories for Entry Level Computer Science Environmental jobs in Edmonton, AB are:
Entry Level Computer Science Environmental jobs near you
Infographic showing various Entry Level Computer Science Environmental job openings in Edmonton, AB as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.

Postdoctoral Fellow - Multimodal Models and Machine Learning

University of Alberta

Edmonton, AB

Full-time

Re-posted 22 days ago

Job description

This position has an initial appointment of 1 year, with the possibility of renewal.

Location - This role is in-person at North Campus Edmonton.

We invite applications for 2 Postdoctoral Fellow positions in machine learning and artificial intelligence, with a focus on multimodal foundation models and related areas. The successful candidate will join a collaborative research group lead by Dr. Xingyu Li, contribute to ongoing projects, and develop an independent research agenda aligned with the group's broader interests.

Research areas of interest may include, but are not limited to:

  • multimodal foundation models

  • vision-language models and multimodal large language models

  • trustworthy AI, robust generalization, and model evaluation

  • efficient learning, adaptation, and representation design

  • multimodal reasoning and structured understanding

This position offers the opportunity to pursue high-impact research in a fast-moving area of AI, work closely with graduate students, and publish in leading venues. The initial appointment will be for one year, with the possibility of extension for a second year.

The University of Alberta, its buildings, labs and research stations are primarily located on the territory of Nehiyaw (Cree), Niitsitapi (Blackfoot), Metis, Nakoda (Stoney), Dene, Haudenosaunee (Iroquois) and Anishinaabe (Ojibway/Saulteaux), lands that are now known as part of Treaties 6, 7 and 8 and homeland of the Metis. The University of Alberta respects the sovereignty, lands, histories, languages, knowledge systems and cultures of all First Nations, Metis, and Inuit.

The University of Alberta is a community of knowledge seekers, change makers and world shapers who lead with purpose each and every day. We are home to over 14,000 faculty and staff, more than 40,000 students and a growing community of 300,000 alumni worldwide.

Your work will have a meaningful influence on a fascinating cross-section of people - from our students and community members, to our renowned researchers and innovators, making discoveries and generating solutions that make the world healthier, safer, stronger and more just. Learn more.

At the University of Alberta, we are committed to creating an inclusive and accessible hiring process for all candidates. If you require accommodations to participate in the interview process, please let us know at the time of booking your interview and we will make every effort to accommodate your needs.

We thank all applicants for their interest; however, only those individuals selected for an interview will be contacted.

All University employees have a responsibility to foster a workplace that prioritizes safety in all its forms-physical, cultural, and psychological. This is achieved by promoting a safe environment, adhering to all safety laws, policies and procedures, completing all required safety training, identifying hazards and implementing controls, reporting incidents, and contributing to a culture of belonging and respect, while endeavoring to ensure that all colleagues feel valued and safe to express their thoughts, perspectives and concerns.

The University of Alberta is committed to creating a university community where everyone feels valued, barriers to success are removed, and thriving connections are fostered. We welcome applications from all qualified persons. We encourage women, First Nations, Metis and Inuit persons, members of visible minority groups, persons with disabilities, persons of any sexual orientation or gender identity and expression, and all those who may contribute to the further diversification of ideas and the University to apply.

L'Universite de l'Alberta s'engage a creer une communaute universitaire ou chaque personne se sent valorisee, ou les obstacles a la reussite sont elimines et ou des connexions enrichissantes peuvent se developper. Nous accueillons les demandes de toutes les personnes qualifiees. Nous encourageons les femmes; Premieres nations, Metis et Inuits; membres des groupes minoritaires visibles; personnes handicapees; personnes de toute orientation sexuelle ou identite et expression de genre; et toutes les personnes qui peuvent contribuer a la diversification des idees et a l'universite a postuler.
The Faculty of Engineering is one of North America's top engineering schools, known for innovation, collaboration, and impact. It fosters an exceptional student experience through a holistic approach that combines technical excellence with emotional intelligence. With strong community engagement, interdisciplinary research, and a commitment to societal well-being, the faculty prepares students to lead in a rapidly evolving, global engineering landscape.

Required Qualifications

  • PhD in Computer Science, Electrical Engineering, Statistics, Mathematics, or a related discipline by the appointment start date.
  • Strong research record in machine learning, AI, computer vision, NLP, multimodal learning, or related areas.
  • Evidence of high-quality publications in leading conferences and/or journals.
  • Strong coding and experimental skills in modern machine learning frameworks.
  • Excellent written and oral communication skills.

Preferred Qualifications

  • Research experience in multimodal foundation models, trustworthy AI, efficient model design, or multimodal reasoning.
  • Experience mentoring graduate or undergraduate students.
  • Ability to lead independent research projects and collaborate across related areas.

Application Instructions

Click "Apply Now" to submit the following:

  • Curriculum vitae
  • Research plan
  • Cover letter
  • Selected publications
  • Contact information for 2-3 references

This position has a comprehensive benefits package.

The terms and conditions of this appointment are governed by the Collective Agreement between the Board of Governors of the University of Alberta and the Postdoctoral Fellows Association of the University of Alberta.

  • Conduct original research in multimodal foundation models and machine learning.
  • Develop an independent research agenda aligned with the group's interests in trustworthy AI, efficient learning, and multimodal reasoning
  • Publish high-impact work in top-tier conferences and journals.
  • Assist in mentoring graduate students and fostering a collaborative research environment.
  • Contribute to grant writing, project development, and other scholarly activities.

Apply