5 Senior Computational Fluid Dynamics Cfd Engineer jobs in Kenya
Senior Computational Fluid Dynamics (CFD) Engineer
Posted 22 days ago
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Key Responsibilities:
- Conduct advanced CFD simulations to analyze and predict fluid flow, heat transfer, and mass transfer phenomena in complex geometries.
- Develop and validate CFD models, ensuring accuracy and reliability of simulation results.
- Interpret simulation data, generate comprehensive reports, and present findings to engineering teams and stakeholders.
- Collaborate with design engineers to optimize product performance based on simulation outcomes.
- Perform pre-processing tasks, including mesh generation and boundary condition setup, using commercial CFD software.
- Post-process and visualize simulation results using advanced visualization tools.
- Stay current with the latest advancements in CFD techniques, software, and hardware.
- Contribute to the development and improvement of in-house simulation methodologies and best practices.
- Mentor junior engineers and provide technical guidance on CFD best practices.
- Participate in project planning, defining simulation scope, timelines, and deliverables.
- Master's or Ph.D. degree in Mechanical Engineering, Aerospace Engineering, or a related field with a strong emphasis on fluid mechanics and computational methods.
- Minimum of 7 years of hands-on experience in performing CFD simulations using industry-standard software (e.g., ANSYS Fluent, STAR-CCM+, OpenFOAM).
- Proven expertise in meshing techniques, numerical methods, and turbulence modeling.
- Strong understanding of fluid dynamics, thermodynamics, and heat transfer principles.
- Experience in scripting languages (e.g., Python, TCL) for automation of CFD workflows is highly desirable.
- Excellent analytical and problem-solving skills with a keen eye for detail.
- Strong written and verbal communication skills, with the ability to effectively present technical information.
- Ability to work independently and collaboratively in a remote team environment, managing multiple projects and deadlines effectively.
- Experience with high-performance computing (HPC) environments for large-scale simulations is a plus.
- Demonstrated ability to deliver high-quality results on time and within project scope.
Lead Computational Fluid Dynamics (CFD) Engineer - Remote
Posted 22 days ago
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Job Description
Responsibilities:
- Lead the setup, execution, and analysis of complex CFD simulations for a variety of engineering applications.
- Develop and validate CFD models, ensuring accuracy and relevance to physical phenomena.
- Perform detailed post-processing of simulation results, generating insightful reports and visualizations.
- Select appropriate CFD software and meshing strategies for specific project requirements.
- Troubleshoot and resolve issues related to simulation setup, convergence, and accuracy.
- Collaborate with design and analysis engineers to interpret simulation results and inform design decisions.
- Mentor and guide junior CFD engineers, providing technical expertise and direction.
- Stay abreast of the latest advancements in CFD technology, numerical methods, and software.
- Contribute to the development and refinement of internal CFD best practices and workflows.
- Present findings and technical recommendations to project teams and stakeholders.
- Manage project timelines and deliverables for CFD analysis tasks.
Qualifications:
- Master's or Ph.D. in Mechanical Engineering, Aerospace Engineering, or a related field with a strong focus on fluid dynamics.
- Minimum of 7 years of hands-on experience in CFD analysis.
- Expert proficiency with leading CFD software packages (e.g., ANSYS Fluent, STAR-CCM+, OpenFOAM).
- Strong understanding of numerical methods, turbulence modeling, and multiphase flow.
- Experience with pre-processing tools for meshing (e.g., ANSA, ICEM CFD).
- Excellent analytical, problem-solving, and critical thinking skills.
- Proficiency in scripting languages (e.g., Python, TCL) for automation is a plus.
- Strong technical writing and presentation skills.
- Ability to work independently, manage multiple projects, and meet deadlines in a remote environment.
- A collaborative spirit and excellent communication skills for remote teamwork.
This challenging position, conceptually linked to **Mlolongo, Machakos, KE**, is a fully remote opportunity for an expert in the field.
Lead Sports Performance Analyst - Data Science
Posted 17 days ago
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Job Description
Key Responsibilities:
- Design and implement data collection protocols for athlete performance, training load, and physiological data.
- Utilize statistical modeling and machine learning techniques to analyze performance data and identify trends.
- Develop predictive models for injury risk, performance outcomes, and strategic planning.
- Create visually compelling dashboards and reports to communicate key findings to coaches, athletes, and stakeholders.
- Collaborate closely with coaching staff to integrate performance insights into training programs and game strategies.
- Stay abreast of the latest research and technological advancements in sports science, performance analysis, and data analytics.
- Manage and maintain performance databases, ensuring data integrity and security.
- Mentor junior performance analysts and contribute to the team's overall technical expertise.
- Evaluate the effectiveness of different training methodologies and interventions through data analysis.
- Contribute to the development of innovative performance monitoring tools and techniques.
- Master's degree or Ph.D. in Sports Science, Biomechanics, Data Science, Statistics, or a related quantitative field.
- Minimum of 7 years of experience in sports performance analysis, with a proven track record in elite sports environments.
- Expertise in statistical analysis software (e.g., R, Python with libraries like Pandas, NumPy, SciPy) and data visualization tools (e.g., Tableau, Power BI).
- Strong understanding of biomechanics, exercise physiology, and sports-specific training principles.
- Experience with wearable technology and motion capture systems is highly desirable.
- Excellent analytical, critical thinking, and problem-solving skills.
- Exceptional communication and presentation skills, with the ability to translate complex data into actionable insights for non-technical audiences.
- Demonstrated ability to lead projects and collaborate effectively within a remote team setting.
- Experience working with diverse sports disciplines is an advantage.
Remote Lead Sports Performance Analyst - Data Science
Posted today
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Job Description
- Collecting, processing, and analyzing diverse sports performance data (e.g., GPS, video analysis, physiological data).
- Developing and implementing statistical models to identify performance indicators and trends.
- Translating complex data into actionable insights for coaches and athletes.
- Creating clear and compelling visualizations and reports to communicate findings.
- Working with athletes and coaching staff to understand their data needs and provide tailored analysis.
- Staying current with the latest advancements in sports science, analytics, and technology.
- Leading and mentoring a team of sports performance analysts.
- Collaborating with sports scientists, physiotherapists, and strength and conditioning coaches.
- Ensuring data integrity, accuracy, and security.
- Contributing to the development of new analytical tools and methodologies.
Qualifications:
- Master's degree in Sports Science, Data Science, Statistics, Kinesiology, or a related field.
- Minimum of 5 years of experience in sports performance analysis or data science within a sports context.
- Proven expertise in statistical modeling, data mining, and machine learning techniques.
- Proficiency in data analysis software and programming languages (e.g., R, Python, SQL).
- Experience with sports-specific data collection tools and analytics platforms.
- Strong understanding of sports physiology, biomechanics, and training principles.
- Excellent analytical, problem-solving, and critical thinking skills.
- Exceptional communication and presentation skills, with the ability to explain technical concepts to diverse audiences.
- Demonstrated leadership experience and ability to mentor junior team members.
- Ability to work independently and manage multiple projects effectively in a remote setting.
This fully remote role offers an exciting opportunity to influence athletic success at the highest levels through data-driven insights.
Remote Sports Performance Analyst - Data Science Focus
Posted 8 days ago
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