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Computer Science Fresh Graduate Jobs in Alberta (NOW HIRING)

D Shell Trading Services Co

Top-performing interns may be offered a return internship or a place in theShell Graduate ... Computer Science, Mathematical Finance, Data Science, Statistics, Quantitative Finance What we ...

Shell

Top-performing interns may be offered a return internship or a place in theShell Graduate ... Computer Science, Mathematical Finance, Data Science, Statistics, Quantitative Finance What we ...

D Shell Trading Services Co

Top-performing interns may be offered a return internship or a place in theShell Graduate ... Computer Science, Mathematical Finance, Data Science, Statistics, Quantitative Finance What we ...

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Computer Science Fresh Graduate information

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$54.4K

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How much do computer science fresh graduate jobs pay per year?

As of Sep 10, 2026, the average yearly pay for computer science fresh graduate in Alberta is $54,352.00, according to ZipRecruiter salary data. Most workers in this role earn between $33,500.00 and $62,000.00 per year, depending on experience, location, and employer.

What is a computer science fresh graduate?

A Computer Science Fresh Graduate job is an entry-level position designed for individuals who have recently completed a degree in computer science or a related field. These roles typically involve tasks like software development, database management, IT support, or cybersecurity, depending on the employer. Companies hire fresh graduates to train them in industry practices and align their skills with organizational needs. Common job titles include Software Engineer, IT Support Specialist, and Data Analyst. Employers look for strong programming skills, problem-solving abilities, and a willingness to learn new technologies.

What types of projects and responsibilities can a computer science fresh graduate expect in their first role?

As a Computer Science Fresh Graduate, you can typically expect to contribute to coding, debugging, testing, and maintaining software applications under the guidance of more experienced team members. You'll often collaborate closely with engineers, designers, and sometimes clients to deliver project goals and learn best practices. Initial responsibilities may also include participating in code reviews, writing documentation, and assisting in troubleshooting technical issues. These projects are designed to help you build industry experience, strengthen your technical skills, and prepare for more advanced assignments or leadership roles over time.

What are the key skills and qualifications needed to thrive in the computer science fresh graduate position, and why are they important?

To thrive as a Computer Science Fresh Graduate, you need a solid understanding of programming languages, data structures, algorithms, and software development principles, typically proven by a bachelor's degree in computer science or a related field. Familiarity with industry-standard tools like Git, integrated development environments (IDEs), and possibly certifications in areas such as cloud computing or cybersecurity can be advantageous. Strong problem-solving abilities, a willingness to learn, and effective teamwork and communication skills will help you stand out. These competencies are crucial for adapting to varied technical tasks, succeeding in collaborative projects, and quickly growing in the fast-evolving tech industry.

What are popular job titles related to Computer Science Fresh Graduate jobs in Alberta?

For Computer Science Fresh Graduate jobs in Alberta, the most frequently searched job titles are:

What job categories do people searching Computer Science Fresh Graduate jobs in Alberta look for?

The top searched job categories for Computer Science Fresh Graduate jobs in Alberta are:

Computer Science Fresh Graduate jobs near you
Infographic showing various Computer Science Fresh Graduate job openings in Alberta as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 75% Full Time, 20% Part Time, 2% Contract, and 1% Nights. Highlights an 81% Physical, 1% Hybrid, and 18% Remote job distribution, with an average salary of $54,352 per year, or $26.1 per hour.

Postdoctoral Fellow - Multimodal Models and Machine Learning

Edmonton, AB

University of Alberta
Education • 10K+ employees
Learn more about University of Albertaexternal

Full-time

Re-posted 25 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