2 Multiphysics Modelling Jobs

The role is embedded in the Product Development team and has numerous touch points with both internal and external customers and is part of the Data Center Agile Squad. In the challenging data center immersion cooling business, it is essential to keep up with fast-paced developments and driven competition in the market. This competition is represented by both established lubricant competitors, emerging ones stepping up from sub-supplier positions as well as alternative data center designs such as air cooling and direct to chip cooling. The core competence in technical expertise and technical trends in this space must be developed to offer coordinated and innovative solutions to customers, besides working on intuition-style and experience-based routine troubleshooting-type tasks. The purpose of the role is to take the mission of delivering coordinated solutions to internal/external customers in a safe, reliable manner, leveraging rich experience in applied technologies and strong expertise of products and services for lubricant engineering industries. The role will have various responsibilities as a significant part of bps local technical platform and global technology community, where bp technology is established and developed to satisfy customers" demands at present and in the future. The incumbent will be a core member of the global Data Center Squad, a multi-functional group passionate about decarbonization industry. Key Results/Accountabilities from the role include ensuring compliance with daily operations to fulfill responsibilities in a manner that conforms to bps value, code of conduct, and internal policies. Deep understanding of existing and evolving products portfolio, characteristics of products, application scenarios, and industrial standards is required to lead to practical and effective solutions. The incumbent will also be responsible for providing technical support and service by demonstrating skillful practices in handling sophisticated troubleshooting cases using various problem-solving tools. Additionally, the role involves project management, innovation and engineering, and management of other tasks within the TD working scope. The ideal candidate should have strong capabilities in international and intercultural communication, preferably with a degree or equivalent experience in Chemistry, Engineering, Computer Science, or a related technical subject area. Hands-on experience in data centers/IT hardware, immersion cooling, or similar fields is desired. Knowledge about the formulation, application, and production of lubricants and/or dielectric thermal management fluids is a plus. The candidate should possess fundamental skills in problem analysis, experiment design, data processing, and reporting, as well as broad experience in technical development and technology deployment. Strong interpersonal skills and experience of working across teams are also essential. Travel Requirement: Up to 10% travel should be expected with this role. Relocation Assistance: This role is eligible for relocation within the country. Remote Type: This position is not available for remote working. Skills required for this role include Agility core practices, Analytical Thinking, Creating new methodologies, Experimental Design, Formulated product testing, Formulation Deployment, Formulation design, Intellectual Asset Management, Multi-physics modeling, Presenting, Product Development, Product Sustainability Performance Management, Raw materials knowledge, Research and development, Rheology, Safety management across the value chain, Science and Technology Leadership, Scientific publication, Technology Management Processes, Testing electric vehicle charging systems, Thought Leadership, Tribology, Vehicle propulsion technologies, Waterfall Model, Writing skills.,

Overall Purpose of the Job To provide data science support Group Engineering development and operational activities focusing on the analysis of physics with Expro's solutions and defining mathematical and algorithmic solutions effective manner. Principal Accountabilities 1. To use proven data science techniques to develop algorithmic solutions to support a number of Expros product lines with the aim of providing reliable data and results for service delivery and performance prediction for client jobs. 2. To provide mathematical and algorithmic support to software and firmware development teams when developing Expros solutions. 3. Able to work effectively to develop algorithmic solutions to large datasets collected from IoT type electronic sensing systems 4. To be able to generate intellectual property and help author patents that will help improve the performance Expros systems and strengthen the companys commercial position. 5. To develop models and work with other engineering disciplines to prove the validity of these models. 6. Ensure that projects are adequately documented and that archived information, (e.g. data, algorithms and derivations,) is both comprehensive and accessible. 7. To ensure that the requirements of the quality management system are complied with in all respects. 8. Assist in the development and implementation of written procedures to manage analytical activities. 9. Desirable experience using C#, Python, Multiphysics modelling (e.g. Ansys, Comsol) , analysis of environmental sensor data , physical fluid dynamics modelling or chemical analysis background 10. Accountable for safety and adherence to Expro HSE procedures at all times. Job Context and Main Activities: The job holder reports directly to the Engineering Manager and is responsible for carrying out Data Science activities within Group Engineering. To Interact with other specialist disciplines within Group engineering and Product lines to ensure the successful delivery of Expros services based on their mathematical models and modelling analysis Job Knowledge and Experience: 1. To ensure a rigorous approach to investigation. 2. Degree in Physics, Engineering or Mathematics with experience of developing algorithms to model real world behaviour of large data sets derived from IoT type sensor systems 3. The ability to derive algorithmic solutions and apply advanced Data science techniques to real world physics and data ideal 4. A background in supporting other multidisciplinary engineering development teams with modelling and data analysis 5. Desirable, a background in fluid analytics or acoustic analysis 6. A background in developing visual representations of complex dynamic multivariate data sets for real time analysis with data being derived from IoT based systems.