DescriptionABS is one of the largest classification societies in the world. We have more surveyors and engineers than any other class society and a long history of MUN engineering graduates making their careers with us. The world headquarters for ABS is in Houston Texas with major offices in London Singapore Athens Shanghai and Ottawa. ABS is the in-service classification society for the Canadian Coast Guard (including icebreakers) and the Canadian Navys Non-combatant vessels such as the Arctic Offshore Patrol Ships.
The ABS Harsh Environment Technology and Digital Research Centre (HET&DRC) is a special branch of ABS Canda Inc. based in St. Johns NL. The HET&DRC undertakes Research and Development and offers Advisory Services to ship owners around the world with a focus on ships operating in icy waters and harsh atmospheric conditions.
HET&DRC is responsible for providing technical support to the global network of ABS offices and ship owners/operators. Each day brings a multitude of inquiries from diverse clients ensuring that the work remains consistently engaging and intellectually demanding attracting bright minds eager to tackle challenges head-on.
HET&DRC continually innovates creates solutions issues guidelines and propels technology development to bolster safety in Polar shipping preventing environmental pollution and enhancing operational efficiencies. Leveraging cutting-edge advancements and proprietary software HET&DRC promptly accurately and effectively addresses client inquiries staying true to its mission of serving the greater public interest and meeting the needs of its members and clients while promoting the security of life property and preserving the natural environment.
ABS HET&DRC warmly extends an invitation to MUN Computer Science or Engineering students with a strong interest in AI-based software development to apply for a Fall 2026 semester work-term opportunity supporting research on an intelligent ice-monitoring system for ships and evolving the advisory service capabilities. You will have the opportunity to collaborate in identifying and solving new and interesting challenges thereby enriching your industry knowledge and making a lasting impact.
Location
ABS HET&DRC St. Johns NL
What you will do
literature review on AI and Machine Learning (ML) based ice-loads prediction methods.
in the design and development of an AI-based solver for ice-loads calculation.
in the processing visualization and interpretation of engineering datasets.
optimized and efficient code in Python/C.
in the testing validation and benchmarking of AI models.
organized project files including datasets code and documentation.
in regular project meetings.
with the ABS HET&DRC engineering team and ABS engineers around the world.
independently under the guidance of the project supervisor.
Learning Opportunities
to real-world applications of AI and Machine Learning in the marine engineering industry.
-on experience in the development of an AI-based ice load solver.
and experience in training validation and deployment of AI models.
and experience in visualization and statistical analysis of engineering data.
of advanced programming concepts to optimize code for engineering applications.
in collaborating with a multidisciplinary engineering team.
to the professional work environment within a globally recognized company.
What You Will Need:
Education and Experience
1.A Graduate (Masters) or undergraduate student with a background in Computer Science Software Engineering or a similar field.
experience in developing and implementing code.
in Python is required. Experience with C is preferred.
with ML frameworks (e.g. TensorFlow PyTorch scikit-learn) is preferred.
-driven and able to work independently while collaborating with the HET&DRC team.
Reporting Relationships:
The Internship Program is housed in an HR Cost Center. This position does not have any direct reports.
Disclaimer Clause
This job description is not intended and should not be construed to be an all-inclusive list of responsibilities skills efforts or working conditions associated with the job of the incumbent. It is intended to be an accurate reflection of the principal job elements essential for making a fair decision regarding the pay structure of the job.
Required Experience:
Intern
Employment Type : Full-Time
Experience: years
Vacancy: 1