23 meilleures offres (python, halifax, ns) (à pourvoir)

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Kraken Robotics —Dartmouth, NS
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Shannex —Halifax, NS
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Dillon Consulting Limited —Halifax, NS
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Senior Firmware Developer
Kraken Robotics —Dartmouth, NS
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Kraken Robotics —Dartmouth, NS
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Irving Shipbuilding —Dartmouth, NS
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Full Stack Developer - DevOps & Cloud Systems
BrightOrder Inc. —Canada
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Cognizant —Halifax, NS
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Research Associate

Dalhousie University
Halifax, NS

Postuler dès maintenant

Détails du poste

Temps plein
Il y a 7 heures

Avantages

Assurance Dentaire
Bourses d'Études
Programme d'Aide aux Employés
REER

Compétences

TensorFlow
MATLAB
Doctorat
Informatique
Mathématiques appliquées
PyTorch
Mathématiques
Sciences de l'environnement
Esprit d'analyse
Apprentissage automatique
Intelligence artificielle
Compétences en communication
Python

Description complète du poste

Position Information

Position Title

Research Associate

Research Project

AI-Enhanced Biogeochemical Modelling & Digital Ocean Science Services

Department/Unit

Oceanography

Location

Halifax, Nova Scotia, Canada

Posting Number

S231-26

Employee Group

Grant-Paid (PSAC Local 86001)

Position Type

Term

Duration of Contract (if applicable)

Eight months with the possibility of extension.

Employment Type

Full Time

Full-time Equivalency (FTE)

1.0

Salary

$37.94 - $48.06 per hour ($69,056 - $87,460 per annum, 35 hours per week)

Classification

Provisional Statement

About Dalhousie University

Dalhousie University is Atlantic Canada’s leading research-intensive university and a driver of the region’s intellectual, social and economic development. Located in the heart of Halifax, Nova Scotia, with an Agricultural Campus in Truro/Bible Hill, Dalhousie is a truly national and international university, with more than half of our almost 21,000 students coming from outside of the province. Our 6,000 faculty and staff foster a vibrant, purpose-driven community, that celebrated 200 years of academic excellence in 2018.

Job Summary

The AI-Enhanced Biogeochemical Modelling and Digital Ocean Science Services project will establish a Virtual Ocean Lab (VOL), a digital platform for hybrid physics-AI biogeochemical (BGC) modelling in the Northwest Atlantic. The work addresses persistent bias and parameter uncertainty in process-based BGC models for chlorophyll, nutrients, primary productivity, and oxygen. Reporting to the Principal Investigator, the Research Associate will support scientific and technical delivery of the pilot, with emphasis on hybrid physics-AI methods for BGC parameterization, bias correction, diagnostics, and reproducible workflow development for a Northwest Atlantic shelf testbed.

Key Responsibilities

Develop and evaluate deep learning or related AI methods that adjust BGC productivity, physiological parameters, and ecological terms within a process-based BGC framework while maintaining physical consistency.
Build reproducible workflows that integrate BGC model output, satellite chlorophyll, BGC-Argo, and oxygen observations for training, testing, and evaluation.
Conduct experiments comparing baseline and hybrid BGC simulations against satellite and in situ observations using standard evaluation metrics. Complete AI-enabled geophysical data analysis.
Develop algorithms, Virtual Ocean Lab (VOL) notebooks and related diagnostics to visualize bias reduction, profiles, time series, and other model performance indicators.
Prepare analysis-ready products, technical documentation, figures, reports, manuscripts, and presentations for project reporting and scientific communication.
Maintain organized records of workflows, code, model configurations, and results, and participate in project meetings, milestone tracking, and collaboration across the Department of Fisheries and Oceans and Dalhousie teams.

Note

The successful applicant may work in-person on campus, primarily remotely (from within Nova Scotia with occasional presence in-person on-campus), or perform a hybrid of the two as agreed by all parties based on operational requirements.

Required Qualifications

PhD in Oceanography, Environmental Science, Applied Mathematics, Computer Science, or a closely related field plus approximately three years’ relevant experience in ocean biogeochemistry and/or physical oceanography, including independent research leadership, experience in complex AI-physics integration, and peer-reviewed outputs (or equivalent combination of training and experience).
Expertise in artificial intelligence for ocean applications, including deep learning, physics-informed or physics-guided models, and/or transfer learning applied to marine BGC variables or related fields.
Demonstrated ability to process, analyze, and interpret oceanographic datasets such as BGC-Argo float profiles, satellite ocean colour/chlorophyll, and/or model output from systems such as NEMO or CanOE.
Proven advanced scientific programming skills in Python and/or MATLAB, with experience with PyTorch and/or TensorFlow and workflow tools for data handling and model training.
Demonstrated scholarly productivity, peer-reviewed publications and presentations in marine biogeochemistry, ocean AI, remote sensing, or marine environmental analysis.
Proven ability to work independently and collaboratively with strong analytical and communication (verbal and written) skills, scientific judgment, and attention to detail.

Assets

Experience with hybrid physics-AI approaches, physics-informed neural networks, or AI-augmented parameter estimation in ocean or climate modelling.
Familiarity with BGC-Argo, CMIP6, and satellite ocean colour products such as MODIS, including reconstruction of subsurface or three-dimensional biogeochemical fields.
Experience in collaborative, multi-institutional projects involving ocean modelling, satellite remote sensing, and digital science infrastructure.
Exposure to hybrid AI frameworks from related marine applications.

Job Competencies

The successful candidate is expected to demonstrate proficiency in Dalhousie’s core and leadership competencies, in particular:

Self-Awareness & Professionalism
Integrity
Adaptability
Knowledge & Thinking Skills
Communication

Additional Information

Dalhousie University supports a healthy and balanced lifestyle. Our total compensation package includes a voluntary RRSP, health and dental plans, a wellness allowance, an employee and family assistance program and a tuition assistance program.

Application Consideration

Non-probationary bargaining unit employees (PSAC Local 86001) are given priority consideration. All other applications will be considered when there is no qualified candidate from the bargaining unit.

Full-time students currently enrolled at an educational institution are not eligible for regular Grant-Paid positions.

We sincerely appreciate all applications and note that only candidates selected for an interview will be contacted directly by the hiring department or People and Culture.

Diversity Statement

Dalhousie University commits to achieving inclusive excellence through continually championing equity, diversity, inclusion, and accessibility. The university encourages applications from Indigenous Peoples of Turtle Island (especially Mi’kmaq), persons of Black/African descent (especially African Nova Scotians), and members of other racialized groups, persons with disabilities, women, persons identifying as members of 2SLGBTQIA+ communities, and all candidates who would contribute to the diversity of our community. In accordance with our Employment Equity Policy, preference will be given in hiring processes to candidates who self-identify as members of one or more of the equity-deserving groups listed above. For more information, including details related to our Employment Equity Policy and Plan and definitions of equity-deserving groups please review our Employment Equity information.

If you require any support for the purpose of accommodation, such as technical aids or alternative arrangements, please let us know of these needs and how we can be of assistance. Dalhousie University is committed to ensuring all candidates have full, fair, and equitable participation in the hiring process. Our complete Accommodation Policy can be viewed here.

Posting Detail Information

Number of Vacancies

Open Date

07/28/2026

Close Date

08/11/2026

Open Until Filled

Special Instructions to Applicant

Quick Link for Direct Access to Posting

https://dal.peopleadmin.ca/postings/21786

Postuler dès maintenant

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