18 hours ago be among the first 25 applicantsdirect message the job poster from computer modelling groupjoin cmg's innovation lab as machine learning engineer with a master's or phd focused on physics-informed neural networks (pinns), fourier neural operators (fnos), deep reinforcement learning (drl) for reservoir and cfd applications. in this role you'll blend advanced ml theory with practical reservoir modeling, driving accuracy and performance improvements from concept through production.key responsibilitiessimulation & ml integration:design and implement pinn-based solvers, fno surrogates or others to accelerate reservoir simulation and optimize subsurface workflows.integrate your models into cmg's simulation pipeline, ensuring numerical stability and scientific rigor.build scalable data pipelines for large-scale geological and production datasets.containerize and deploy inference services, wrapping pinn/fno models with robust apis.strategic roadmap:collaborate with domain experts to define a multi-year ml/ai strategy for reservoir simulation.identify key research areas and drive prototyping of next-generation ml solvers.early-stage research & delivery:lead r&d; projects—from literature review and algorithm design through hands-on implementation and performance benchmarking.validate model accuracy against high-fidelity simulators and real field datacross-functional collaboration:pair with software engineers to productionize algorithms under clean-architecture and ci/cd best practices.present findings, trade-offs, and performance metrics to stakeholders in product and s...
18 hours ago be among the first 25 applicants direct message the job poster from computer modelling group join cmg’s innovation lab as machine learning engineer with a master’s or phd focused on physics-informed neural networks (pinns), fourier neural operators (fnos), deep reinforcement learning (drl) for reservoir and cfd applications. in this role you’ll blend advanced ml theory with practical reservoir modeling, driving accuracy and performance improvements from concept through production. key responsibilities simulation & ml integration: design and implement pinn-based solvers, fno surrogates or others to accelerate reservoir simulation and optimize subsurface workflows. integrate your models into cmg’s simulation pipeline, ensuring numerical stability and scientific rigor. build scalable data pipelines for large-scale geological and production datasets. containerize and deploy inference services, wrapping pinn/fno models with robust apis. strategic roadmap: collaborate with domain experts to define a multi-year ml/ai strategy for reservoir simulation. identify key research areas and drive prototyping of next-generation ml solvers. early-stage research & delivery: lead r&d projects—from literature review and algorithm design through hands-on implementation and performance benchmarking. validate model accuracy against high-fidelity simulators and real field data cross-functional collaboration: pair with software engineers to productionize algorithms under clean-architecture and ci/cd best practices. present findings, trade-offs, and performance metrics to stakeholders i...
Machine learning engineer - pinns/fno we are seeking a highly skilled machine learning engineer to join our innovation lab team at computer modelling group (cmg). in this role, you will work on the development and implementation of cutting-edge machine learning algorithms for reservoir simulation and optimization. the successful candidate will have a strong background in physics-informed neural networks (pinns), fourier neural operators (fnos), and deep reinforcement learning (drl) for reservoir and computational fluid dynamics (cfd) applications. you will be responsible for designing and implementing pinn-based solvers, fno surrogates, or other ml models to accelerate reservoir simulation and optimize subsurface workflows. you will also integrate your models into cmg's simulation pipeline, ensuring numerical stability and scientific rigor. additionally, you will build scalable data pipelines for large-scale geological and production datasets and containerize and deploy inference services, wrapping pinn/fno models with robust apis. the ideal candidate will have a master's or phd in computational science, mechanical/reservoir engineering, applied mathematics, or a related field, particularly with a focus on pinns, fnos, or cfd. they will have proven experience implementing pinns, fnos, or other physics-informed architectures in tensorflow or pytorch and a strong background in pdes, numerical methods, and uncertainty quantification. the successful candidate will be a team player who is comfortable collaborating across disciplines, translating deep technical work into act...
Senior cyber security engineer position we are seeking a highly skilled senior cyber security engineer to join our team. as a key member of our security operations group, you will play a critical role in designing and implementing technical security controls to ensure the security and integrity of our infrastructure and product deployments. key responsibilities: - design and implement technical security controls to identify, contain and remediate security threats and cyber attacks. - analyse and improve our security architecture to ensure it is robust and secure. - evaluate, select and implement new security tools and practices to enhance our security posture. required skills and qualifications: - an undergraduate degree in computer science or a related field, with a strong academic record. - previous professional experience working in a security operations centre, with expertise in threat modelling and risk management frameworks. - knowledge of security architecture and market-leading security tools. - experience contributing to and consuming threat intelligence feeds. - strong analytical and problem-solving skills, with the ability to work independently and as part of a team. benefits: - a competitive salary and performance-driven annual bonus. - a personal learning and development budget of usd 2,000 per year. - distributed work environment with opportunities for travel and collaboration with colleagues. - a comprehensive employee assistance programme. about us: we are a leading technology company at the forefront of the global move to open source. we are changi...
Pioneering trusted medical solutions to improve the lives we touch: convatec is a global medical products and technologies company, focused on solutions for the management of chronic conditions, with leading positions in advanced wound care, ostomy care, continence care, and infusion care. with around 10,000 colleagues, we provide our products and services in almost 100 countries, united by a promise to be forever caring. our solutions provide a range of benefits, from infection prevention and protection of at-risk skin to improved patient outcomes and reduced care costs. convatec’s revenues in 2023 were over $2 billion. the company is a constituent of the ftse 100 index (lse:ctec). to learn more about convatec, please visit http://www.convatecgroup.com are you a seasoned data & bi developer looking for a role where you can truly make an impact? do you thrive on transforming complex data into actionable insights and building robust data platforms? we're on a transformative journey to modernize our global data platform, and we're seeking a proactive and technically skilled professional with 5-7 years of experience to join our team. this is a unique opportunity to contribute hands-on across the entire data engineering, modeling, and reporting lifecycle. you'll start with foundational work like migrating from legacy systems to snowflake , and progressively deepen your skills as you help us build advanced architectures in microsoft fabric, data mesh, and sap analytics cloud . if you're eager to learn, grow, and shape the future of our data landscape, we want to hear from you! ...
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