ZipRecruiter

Log In

1

Phd Computer Science Jobs in Quebec (NOW HIRING)

Bentley Systems

... computer vision, graphical models, natural language processing, advanced signal processing ... BSc, MSc or PhD in machine learning or a relatedspecialty * at least 2 years of experience doing ...

Bentley Systems

Senior Applied AI Scientist

Quebec, QC · On-site

... computer vision, graphical models, natural language processing, advanced signal processing ... BSc, MSc, or PhD in machine learning or a related specialty * at least 6 years of experience doing ...

SAP

Senior AI Machine Learning Engineer

Montreal, QC

Required Qualifications · PhD or MS in Computer Science, Machine Learning, Applied Mathematics, Physics, or a related field, with substantial applied experience. · 5+ years building and delivering ...

Waters Corporation

Sr Bio Account Manager

Quebec, QC · On-site

Bachelor's degree in the Biological Sciences. MS, PhD is a plus * 2 years bench level experience ... 136,500 CAD. Pay is based on several factors including market location, job-related knowledge ...

Waters Corporation

Sr Bio Account Manager

Quebec, QC · Remote

Bachelor's degree in the Biological Sciences. MS, PhD is a plus * 2 years bench level experience ... 136,500 CAD. Pay is based on several factors including market location, job-related knowledge ...

next page

Showing results 1-20

People also search for

All JobsPhd Computer Science JobsPhd Computer Science Jobs in Quebec

Phd Computer Science information

See Quebec salary details

$20.5K

$73.4K

$152.5K

How much do phd computer science jobs pay per year?

As of May 30, 2026, the average yearly pay for phd computer science in Quebec is $73,404.00, according to ZipRecruiter salary data. Most workers in this role earn between $43,500.00 and $100,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a PhD in Computer Science, and why are they important?

To thrive as a PhD in Computer Science, you need advanced expertise in algorithms, programming, and research methodologies, typically supported by a doctoral degree in computer science or a related field. Mastery of programming languages (such as Python, Java, or C++), data analysis tools, and familiarity with version control systems like Git are commonly required, along with experience in publishing academic research. Critical thinking, problem-solving, strong written and verbal communication, and perseverance are vital soft skills for success in research and collaboration. These skills and qualifications are essential for making significant contributions to the field, driving innovation, and effectively sharing knowledge with the academic and professional community.

What are some common challenges faced by PhD Computer Science students during their research?

PhD Computer Science students often encounter challenges such as defining a clear and impactful research problem, managing long-term projects with limited guidance, and coping with the pressure to publish in top-tier conferences or journals. Balancing coursework, teaching responsibilities, and research can also be demanding. Effective time management, networking with peers and mentors, and seeking regular feedback can help students navigate these challenges and achieve their academic goals.

What is a PhD in Computer Science?

A PhD in Computer Science is the highest academic degree in the field, focused on advanced research and the creation of new knowledge in computing. It typically involves several years of coursework followed by original research culminating in a dissertation. Graduates often pursue careers in academia, research, or advanced industry roles that require deep technical expertise and problem-solving skills.

Is IT worth doing a PhD in CS?

A PhD in Computer Science can be valuable for careers in research, academia, or specialized industry roles requiring advanced expertise. It typically involves several years of study, research, and publication, and can lead to higher-level positions but may not be necessary for most industry jobs that value practical skills and experience. Consider your career goals and whether the research focus aligns with your interests before pursuing a PhD.
What are popular job titles related to Phd Computer Science jobs in Quebec? For Phd Computer Science jobs in Quebec, the most frequently searched job titles are:
What job categories do people searching Phd Computer Science jobs in Quebec look for? The top searched job categories for Phd Computer Science jobs in Quebec are:
Phd Computer Science jobs near you
Infographic showing various Phd Computer Science job openings in Quebec as of May 2026, with employment types broken down into 3% As Needed, 58% Full Time, 18% Part Time, 3% Temporary, 15% Contract, and 3% Nights. Highlights an 51% Physical, 9% Hybrid, and 40% Remote job distribution, with an average salary of $73,404 per year, or $35.3 per hour.
AI Scientist I

AI Scientist I

Bentley Systems

On-site

Other

Posted 16 days ago

Job description

Lieu - Ville de Quebec, Canada

En tant que scientifique en intelligence artificielle (IA), vous aurez l'opportunite de developper des solutions innovantes en IA pour les infrastructures intelligentes, de participer au developpement de nouveaux produits bases sur l'IA et de collaborer avec une equipe etablie de data scientists. Grace a son positionnement unique sur le marche, notre equipe s'interesse a une grande variete de domaines de recherche lies a l'IA, notamment la vision par ordinateur, les modeles graphiques, le traitement du langage naturel, le traitement avance du signal, l'apprentissage non supervise et le clustering, l'apprentissage par renforcement, etc.

Responsabilites
  • Developper des algorithmes et des modeles d'IA/ML en utilisant les meilleures pratiques reconnues
  • Analyser les defis des utilisateurs, les flux de travail et les cas d'usage
  • Se tenir a jour des recherches et de la litterature scientifique pertinentes
  • Assurer une veille technologique dans differents domaines de l'IA/ML
  • Participer a l'acquisition de donnees a partir de diverses sources
  • Analyser l'integrite et la qualite des donnees
  • Developper des strategies de nettoyage des donnees et preparer des jeux de donnees d'entrainement
  • Mesurer la performance et la robustesse des modeles
  • Preparer des rapports et des presentations sur les resultats
  • Presenter les resultats aux pairs, aux parties prenantes internes et aux utilisateurs
Qualifications
  • Licence, Master ou Doctorat en apprentissage automatique ou dans une specialite connexe
  • Au moins 2 ans d'experience en recherche et developpement en apprentissage automatique, incluant le deep learning et les techniques avancees
  • Experience avec les modeles de langage de grande taille (LLM), les systemes RAG et les copilotes
  • Experience pratique en developpement et application de solutions de machine learning
  • Capacite a developper des solutions innovantes en intelligence artificielle pour resoudre des problemes concrets et complexes
  • Maitrise de la programmation et des outils lies a notre domaine, tels que : Python, PyTorch, Scikit-learn, LangChain, LlamaIndex, DSPy, GraphRAG
  • Solides competences en resolution de problemes a l'aide de diverses technologies
  • Capacite a rechercher de nouveaux sujets et a apprendre rapidement
  • Une experience avec les principaux fournisseurs cloud (Microsoft Azure, Amazon AWS, Elasticsearch, etc.) et/ou en MLOps est souhaitee
  • Maitrise de l'anglais
Ce que nous offrons :
  • Une equipe et une culture formidables - veuillez visionner notre video de recrutement
  • Une carriere passionnante au sein d'une entreprise de logiciels de premier plan mondial, fournissant des solutions pour l'architecture, l'ingenierie et la construction
  • Un salaire competitif et des avantages sociaux
  • L'opportunite de travailler au sein d'une equipe internationale et diversifiee
  • Un environnement de travail collaboratif et bienveillant
  • Programme de recommandation des employes

As an AI Scientist you'll have the opportunity to develop innovative solutions in artificial intelligence (AI) for smart infrastructure, participate in the development of new products based on AI and collaborate with an established team of Data Scientists. By virtue of its unique market positioning, our team targets a wide variety of AI-related research fields, including computer vision, graphical models, natural language processing, advanced signal processing, unsupervised learning and clustering, reinforcement learning, etc. 

Responsibilities 

  • Develop AI/ML algorithms and models using acceptedbest practices 
  • Analyse user challenges, workflows and use cases 
  • Keep yourself up-to-date with the relevant research andscientific literature 
  • Provide a technological watch over various areas ofAI/ML 
  • Assist in data acquisition from various sources 
  • Analyse data integrity and quality 
  • Develop data cleaning strategies and prepares trainingdatasets 
  • Measure model performance and resilience 
  • Prepare reports and presentations on results 
  • Present results to peers, internal stakeholders and users 

Qualifications 

  • BSc, MSc or PhD in machine learning or a relatedspecialty 
  • at least 2 years of experience doing research and development in machine learning - including deep learning andadvanced techniques 
  • Experience with Large Language Models, RAG and copilot systems 
  • Experience in practical machine learning applicationsand development 
  • Ability to develop innovative solutions in artificialintelligence to resolve concrete and complex challenges 
  • Programming and use of tools related to our area ofpractice such as: Python, PyTorch, Scikit-learn, LangChain, Llamaindex, DSPy, GraphRAG  
  • Strong problem-solving capabilities using varioustechnologies 
  • Capability to research a new topic and to learn quickly 
  • Experience with major cloud providers (Microsoft Azure, Amazon AWS, ElasticSearch, etc.) and/or MLOpsexperience desired 
  • Fluent in English 

What We Offer: 

  • A great Team and culture - please watch ourRecruitment Video 
  • An exciting career as an integral part of a world-leading software company providing solutions for architecture, engineering, and construction 
  • Competitive salary and benefits 
  • The opportunity to work within a global and diversely international team 
  • A supportive and collaborative environment 
  • Colleague Rec

#LI-KK1

About Bentley Systems


Around the world, infrastructure professionals rely on software from Bentley Systems to help them design, build, and operate better and more resilient infrastructure for transportation, water, energy, cities, and more. Founded in 1984 by engineers for engineers, Bentley is the partner of choice for engineering firms and owner-operators worldwide, with software that spans engineering disciplines, industry sectors, and all phases of the infrastructure lifecycle. Through our digital twin solutions, we help infrastructure professionals unlock the value of their data to transform project delivery and asset performance. www.bentley.com 

Equal Opportunity Employer:

Bentley is proud to be an equal opportunity employer and considers for employment all qualified applicants without regard to race, color, gender/gender identity, sexual orientation, disability, marital status, religion/belief, national origin, caste, age, or any other characteristic protected by local law or unrelated to job qualifications.

Apply