1,466 System Modeling jobs in Kenya
Lead Data Scientist - Climate Modeling
Posted 5 days ago
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Job Description
Our client, a cutting-edge research institution, is looking for a brilliant and highly motivated Lead Data Scientist to spearhead their climate modeling initiatives. This is a fully remote role, offering an unparalleled opportunity to work on impactful environmental research from anywhere. You will lead a team of data scientists and researchers, focusing on developing, validating, and deploying advanced statistical and machine learning models to understand and predict climate patterns. Your work will involve extensive data wrangling, feature engineering, and sophisticated analytical techniques using large, complex datasets. We are seeking an individual with a Ph.D. or Master's degree in a quantitative field such as Computer Science, Statistics, Physics, or a related discipline, coupled with substantial experience in climate science or environmental modeling. The ideal candidate will possess a strong foundation in Python or R, proficiency with data science libraries (e.g., TensorFlow, PyTorch, scikit-learn), and experience with big data technologies (e.g., Spark, Hadoop). Responsibilities include designing research methodologies, interpreting complex model outputs, publishing findings in peer-reviewed journals, and presenting results to diverse audiences. You will also be responsible for mentoring junior team members, contributing to grant proposals, and staying abreast of the latest advancements in climate science and data analytics. This role requires exceptional problem-solving skills, excellent communication abilities, and the capacity to work independently in a remote setting. The successful candidate will play a crucial role in advancing our understanding of climate change. Although the team is based in **Malindi, Kilifi, KE**, this position is entirely remote.
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Senior Research Scientist - Climate Modeling
Posted 8 days ago
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Our client is seeking a highly motivated and experienced Senior Research Scientist to join their cutting-edge climate modeling team. This fully remote position offers a unique opportunity to contribute to critical research that addresses some of the most pressing environmental challenges facing our planet. You will be instrumental in developing, validating, and applying advanced climate models to predict future climate scenarios and assess their impacts. Responsibilities include designing and executing complex simulation experiments, analyzing large datasets, interpreting model outputs, and contributing to peer-reviewed publications and scientific reports. You will also collaborate with a diverse, international team of scientists, engineers, and policymakers, fostering a dynamic and intellectually stimulating remote work environment. This role requires a deep understanding of atmospheric science, oceanography, or related geophysical sciences, coupled with strong computational skills. Experience with high-performance computing environments and proficiency in programming languages such as Python, R, or Fortran are essential. The ideal candidate will have a proven track record of independent research, excellent problem-solving abilities, and exceptional communication skills. A Ph.D. in a relevant scientific field is strongly preferred, along with at least five years of post-doctoral or industry research experience. This is a fully remote role, allowing you to work from anywhere within your established time zone, with a primary focus on scientific integrity and impactful research output. The team utilizes collaborative platforms extensively to ensure seamless communication and project progress. Opportunities for professional development and presenting research at international conferences are available. We are looking for a proactive individual who can thrive in a self-directed, remote setting and contribute innovative ideas to our ongoing research initiatives in **Garissa**. This is an exciting chance to make a significant contribution to climate science from the comfort of your home office. The successful candidate will be expected to lead specific research projects, mentor junior scientists, and contribute to grant writing efforts.
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Principal Research Scientist - Climate Modeling
Posted today
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Job Description
Our client is seeking an accomplished and visionary Principal Research Scientist to lead cutting-edge research in climate modeling. This senior role involves developing and applying advanced computational models to understand and predict climate change impacts. The scientist will be responsible for designing research projects, securing funding, mentoring junior researchers, and publishing findings in high-impact peer-reviewed journals. A strong background in atmospheric science, climate dynamics, computational physics, or a related quantitative field is essential, coupled with extensive experience in developing, validating, and utilizing complex climate models. The candidate must possess exceptional analytical and problem-solving skills, proficiency in high-performance computing environments, and a proven ability to lead scientific initiatives. Collaboration with interdisciplinary teams and stakeholders will be a key aspect of the role, requiring excellent communication and leadership qualities. The successful applicant will contribute significantly to the global understanding of climate systems and inform policy decisions through robust scientific evidence.
Key Responsibilities:
Key Responsibilities:
- Lead the design, development, and implementation of novel climate models and associated methodologies.
- Conduct advanced research on climate system processes, variability, and long-term change, focusing on regional and global scales.
- Analyze and interpret complex model outputs and observational data to derive meaningful scientific insights.
- Oversee the validation and improvement of existing climate models, ensuring scientific rigor and accuracy.
- Secure research funding through competitive grant proposals from national and international agencies.
- Mentor and supervise a team of postdoctoral researchers and graduate students, fostering a collaborative and productive research environment.
- Publish research findings in leading scientific journals and present at international conferences.
- Collaborate with national and international research institutions, government agencies, and industry partners on climate-related projects.
- Contribute to interdisciplinary research initiatives addressing the societal impacts of climate change.
- Stay at the forefront of scientific advancements in climate science, computational modeling, and relevant fields.
- Ph.D. in Atmospheric Science, Climate Science, Physics, Geosciences, Computer Science, or a closely related field.
- A minimum of 10 years of post-doctoral research experience in climate modeling or a related area.
- Demonstrated expertise in developing, modifying, and running sophisticated climate models (e.g., GCMs, RCMs, Earth System Models).
- Strong programming skills (e.g., Fortran, C++, Python) and experience with high-performance computing (HPC) environments.
- Proven track record of obtaining research grants and leading successful research projects.
- Excellent publication record in high-impact, peer-reviewed journals.
- Exceptional analytical, quantitative, and problem-solving abilities.
- Strong leadership, mentoring, and team-building skills.
- Outstanding written and oral communication skills, with the ability to articulate complex scientific concepts to diverse audiences.
- Experience with data analysis and visualization tools.
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Principal AI Research Scientist - Climate Modeling
Posted 16 days ago
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Job Description
Our client is a leading innovation hub focused on leveraging advanced scientific research to address global challenges. We are seeking a distinguished Principal AI Research Scientist to join our dynamic team in Naivasha, Nakuru, KE . This role is integral to our groundbreaking work in climate science, where you will spearhead the development and implementation of novel Artificial Intelligence and Machine Learning models to enhance climate prediction and atmospheric modeling accuracy. You will delve into complex environmental datasets, including satellite imagery, sensor networks, and historical climate records, to build sophisticated predictive algorithms. Your responsibilities will include designing research methodologies, conducting rigorous experiments, and publishing findings in top-tier scientific journals. You will also guide junior researchers, foster a collaborative research environment, and present your work to diverse audiences, including academic peers, industry partners, and policymakers. The ideal candidate possesses a Ph.D. in Computer Science, Physics, Environmental Science, or a closely related quantitative field, with a substantial track record in AI/ML research, particularly applied to complex systems like climate or atmospheric science. Experience with deep learning frameworks (TensorFlow, PyTorch), large-scale data processing, and scientific computing environments is essential. You will work closely with domain experts in meteorology, oceanography, and atmospheric physics to translate scientific questions into solvable AI problems and validate model outputs against real-world observations. This is an unparalleled opportunity to make a tangible impact on our understanding of climate change and contribute to developing data-driven solutions for a sustainable future.
Key Responsibilities:
Key Responsibilities:
- Lead research initiatives in AI/ML for climate modeling and prediction.
- Develop and implement advanced machine learning algorithms for atmospheric and environmental data analysis.
- Design and conduct experiments to validate AI model performance and accuracy.
- Collaborate with climate scientists and domain experts to define research questions and objectives.
- Publish research findings in leading peer-reviewed journals and present at international conferences.
- Mentor and guide junior research staff and post-doctoral fellows.
- Contribute to the strategic planning of the research department and identify new research avenues.
- Manage large, complex datasets and ensure data integrity and reproducibility.
- Stay at the forefront of AI research and its applications in climate science.
- Ph.D. in Computer Science, Applied Mathematics, Physics, Environmental Science, or a related quantitative field.
- 5+ years of post-doctoral or industry research experience in AI/ML.
- Proven expertise in deep learning, neural networks, and statistical modeling.
- Demonstrated experience applying AI/ML to scientific domains, preferably climate science, atmospheric physics, or environmental modeling.
- Proficiency with Python and ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn).
- Experience with scientific computing environments and large-scale data processing.
- Strong publication record in reputable venues.
- Excellent analytical, problem-solving, and critical thinking skills.
- Effective communication and presentation abilities.
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Principal Data Scientist - Climate Change Modeling
Posted 16 days ago
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Job Description
Our client is actively seeking a highly accomplished Principal Data Scientist to lead cutting-edge research and development initiatives focused on climate change modeling. This is a fully remote position, offering the opportunity to contribute to critical global research from anywhere. You will be responsible for designing, developing, and deploying sophisticated machine learning models and statistical analyses to understand and predict climate patterns, impacts, and mitigation strategies. Your work will involve processing and analyzing large, complex environmental datasets, collaborating with domain experts, and translating scientific insights into actionable recommendations. Key responsibilities include leading the development of predictive models for climate phenomena, designing experiments to test hypotheses, performing rigorous statistical analysis, and communicating complex findings to both technical and non-technical audiences. You will mentor junior data scientists, stay abreast of the latest advancements in AI and environmental science, and contribute to publications and presentations. The ideal candidate possesses a Ph.D. or Master's degree in a quantitative field (e.g., Computer Science, Statistics, Physics, Environmental Science) with a strong specialization in data science and machine learning. Proven experience in climate modeling, atmospheric science, or related fields is essential. Expertise in programming languages like Python or R, along with extensive experience with data science libraries (e.g., TensorFlow, PyTorch, Scikit-learn) and big data technologies (e.g., Spark), is required. This role demands exceptional analytical, critical thinking, and communication skills, suitable for a fully remote, research-intensive environment. We are looking for a visionary leader to drive impactful research from **Garissa**'s unique environmental perspective and beyond.
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Remote Senior Energy Systems Modeler
Posted 11 days ago
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Job Description
Our client is seeking an innovative and highly analytical Senior Energy Systems Modeler to join their expanding, remote-first team. This critical role will focus on developing and validating sophisticated models for complex energy systems, including renewable energy integration, grid stability, and energy market dynamics. The ideal candidate will possess a strong foundation in electrical engineering, energy economics, and advanced computational methods. You will be responsible for creating, calibrating, and running simulations to assess the performance, reliability, and economic viability of various energy infrastructure projects and policies. This position requires a deep understanding of energy technologies, market structures, and regulatory frameworks.
Key responsibilities include building detailed mathematical and computational models, analyzing simulation results, and generating comprehensive reports and recommendations for stakeholders. You will collaborate with research scientists, engineers, and policy analysts to ensure model accuracy and relevance. The ability to interpret complex simulation outputs and translate them into actionable insights for strategic decision-making is paramount. This role involves working with large datasets and employing advanced statistical and machine learning techniques to enhance model predictive power. Furthermore, you will contribute to the development of new modeling methodologies and software tools. The successful candidate must be adept at working independently, managing multiple projects, and communicating effectively in a virtual environment. This is an exceptional opportunity to contribute to shaping the future of sustainable energy solutions from a remote setting, influencing critical infrastructure development and policy. You will be at the forefront of energy system analysis, driving innovation and informing strategic investments. The collaborative nature of the team ensures a stimulating work environment where diverse perspectives are valued. We are looking for a proactive individual with a passion for the energy sector and a proven ability to deliver high-quality analytical work. Your contributions will have a significant impact on the energy landscape, promoting efficiency and sustainability.
Qualifications:
Key responsibilities include building detailed mathematical and computational models, analyzing simulation results, and generating comprehensive reports and recommendations for stakeholders. You will collaborate with research scientists, engineers, and policy analysts to ensure model accuracy and relevance. The ability to interpret complex simulation outputs and translate them into actionable insights for strategic decision-making is paramount. This role involves working with large datasets and employing advanced statistical and machine learning techniques to enhance model predictive power. Furthermore, you will contribute to the development of new modeling methodologies and software tools. The successful candidate must be adept at working independently, managing multiple projects, and communicating effectively in a virtual environment. This is an exceptional opportunity to contribute to shaping the future of sustainable energy solutions from a remote setting, influencing critical infrastructure development and policy. You will be at the forefront of energy system analysis, driving innovation and informing strategic investments. The collaborative nature of the team ensures a stimulating work environment where diverse perspectives are valued. We are looking for a proactive individual with a passion for the energy sector and a proven ability to deliver high-quality analytical work. Your contributions will have a significant impact on the energy landscape, promoting efficiency and sustainability.
Qualifications:
- Master's or Ph.D. in Electrical Engineering, Energy Systems, Operations Research, or a related field.
- Minimum of 8 years of experience in energy systems modeling, simulation, and analysis.
- Expertise in modeling software (e.g., PSS/E, PowerWorld, MATLAB/Simulink) and programming languages (e.g., Python, R).
- Strong understanding of power system operations, renewable energy integration, and energy markets.
- Experience with statistical analysis and machine learning techniques.
- Excellent analytical, problem-solving, and critical thinking skills.
- Superior written and verbal communication skills, with the ability to present complex technical information to diverse audiences.
- Demonstrated ability to work autonomously and manage projects effectively in a remote setting.
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5
Lead Building Information Modeling (BIM) Specialist
Posted 13 days ago
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Job Description
Our client is seeking a highly skilled and experienced Lead Building Information Modeling (BIM) Specialist to join their progressive architecture team. This role is entirely remote, allowing you to contribute your expertise from any location. The Lead BIM Specialist will be responsible for developing and implementing BIM standards, workflows, and templates across various architectural projects. You will lead the BIM coordination efforts, ensuring the integrity and accuracy of models, and facilitating collaboration among multidisciplinary teams. The ideal candidate will have a deep understanding of BIM software and technologies, a keen eye for detail, and a passion for driving efficiency and innovation in the design and construction process.
Key Responsibilities:
Qualifications:
Key Responsibilities:
- Develop, implement, and manage BIM standards, protocols, and workflows for the organization.
- Lead the creation and management of project-specific BIM execution plans.
- Oversee the coordination of BIM models from architectural, structural, and MEP disciplines to identify and resolve clashes.
- Provide technical guidance and support to project teams on BIM software and best practices.
- Conduct regular model reviews and quality assurance checks to ensure compliance with project requirements.
- Train and mentor junior BIM coordinators and technicians.
- Stay abreast of the latest BIM technologies, software updates, and industry trends.
- Collaborate with project managers, architects, engineers, and contractors to ensure successful BIM implementation.
- Develop and maintain BIM content libraries, including families and shared parameters.
- Contribute to the continuous improvement of BIM processes and strategies.
Qualifications:
- Bachelor's degree in Architecture, Engineering, Construction Management, or a related field.
- Minimum of 7 years of experience in BIM coordination and management.
- Expert proficiency in Autodesk Revit and Navisworks.
- Strong understanding of other BIM-related software and tools (e.g., BIM 360, Solibri).
- In-depth knowledge of BIM standards and best practices (e.g., ISO 19650).
- Excellent communication, leadership, and interpersonal skills.
- Ability to manage multiple projects simultaneously and meet deadlines.
- Strong analytical and problem-solving abilities.
- Experience working effectively in a remote team environment.
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6
Principal Building Information Modeling (BIM) Specialist
Posted 19 days ago
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Job Description
Our client is seeking a highly accomplished and visionary Principal Building Information Modeling (BIM) Specialist to lead our remote BIM strategy and implementation. This is a critical, fully remote role focused on establishing and enforcing best practices in BIM workflows, standards, and technologies across a diverse range of architectural projects. You will be responsible for developing and managing the firm's BIM protocols, ensuring seamless integration of BIM into all project phases from concept design through construction administration. The ideal candidate will possess a deep understanding of architectural design, construction processes, and advanced BIM software and methodologies. Your responsibilities will include creating and maintaining BIM execution plans, developing custom templates and libraries, and providing expert guidance to project teams. You will play a key role in evaluating and implementing new BIM technologies, ensuring our firm remains at the forefront of digital design and collaboration. This position demands exceptional analytical skills, a meticulous attention to detail, and the ability to mentor and train other BIM professionals. You will champion the adoption of BIM as a core project delivery tool, enhancing efficiency, reducing errors, and improving overall project outcomes. As a fully remote specialist, you will leverage cutting-edge communication and collaboration tools to engage with project stakeholders, consultants, and clients. You will contribute to the continuous improvement of our BIM capabilities, ensuring that our firm delivers innovative and technically superior architectural solutions. The ability to translate complex technical requirements into practical, implementable BIM strategies is essential. This role offers a unique opportunity to shape the future of digital construction within a forward-thinking organization.
Responsibilities:
Responsibilities:
- Develop, implement, and manage comprehensive BIM strategies and workflows for architectural projects.
- Establish and maintain firm-wide BIM standards, protocols, and best practices.
- Create and oversee the development of custom BIM templates, families, and content libraries.
- Provide expert technical support and guidance on BIM software (e.g., Revit, Navisworks) and related technologies.
- Lead BIM coordination meetings and collaborate with multi-disciplinary project teams to resolve clashes and ensure design integrity.
- Evaluate, recommend, and implement new BIM tools and technologies to enhance project delivery.
- Develop and deliver BIM training programs for internal staff and project stakeholders.
- Conduct quality assurance checks on BIM models to ensure adherence to standards and accuracy.
- Champion the use of BIM for advanced analyses, such as energy modeling, structural analysis, and quantity take-offs.
- Contribute to the development of proposals and bids by articulating BIM capabilities and strategies.
- Master's degree in Architecture, Civil Engineering, Construction Management, or a related field.
- Minimum of 10 years of progressive experience in BIM management, coordination, and implementation within the AEC industry.
- Extensive knowledge of BIM software, including Autodesk Revit, Navisworks, and related platforms.
- Strong understanding of architectural design principles, construction methods, and project delivery processes.
- Proven experience in developing and managing BIM execution plans and content libraries.
- Expertise in clash detection, model coordination, and 4D/5D BIM applications.
- Excellent communication, presentation, and interpersonal skills, with the ability to effectively train and mentor technical staff.
- Demonstrated ability to lead and manage complex BIM projects in a remote environment.
- In-depth knowledge of industry BIM standards and protocols (e.g., ISO 19650).
- Portfolio showcasing successful BIM implementation on significant projects is highly desirable.
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Remote Petroleum Reservoir Engineer - Modeling Specialist
Posted 2 days ago
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Job Description
Our client is seeking a highly skilled and experienced Petroleum Reservoir Engineer with a specialization in reservoir modeling and simulation. This is a fully remote position, offering the flexibility to work from anywhere while contributing to critical projects in the oil and gas sector. The successful candidate will be responsible for developing, calibrating, and utilizing advanced reservoir simulation models to optimize hydrocarbon recovery, forecast production, and support field development strategies.
You will play a crucial role in analyzing geological data, understanding fluid flow dynamics, and interpreting simulation results to provide actionable insights. The ideal candidate possesses a strong technical background in reservoir engineering principles, proficiency with industry-standard simulation software (e.g., Eclipse, CMG, Petrel RE), and a proven ability to manage complex modeling projects autonomously. Excellent communication and collaboration skills are essential for working effectively with multidisciplinary teams in a remote setting.
Responsibilities:
You will play a crucial role in analyzing geological data, understanding fluid flow dynamics, and interpreting simulation results to provide actionable insights. The ideal candidate possesses a strong technical background in reservoir engineering principles, proficiency with industry-standard simulation software (e.g., Eclipse, CMG, Petrel RE), and a proven ability to manage complex modeling projects autonomously. Excellent communication and collaboration skills are essential for working effectively with multidisciplinary teams in a remote setting.
Responsibilities:
- Develop, update, and maintain detailed reservoir simulation models based on geological, petrophysical, and production data.
- Perform history matching and sensitivity analyses to calibrate models and improve predictive accuracy.
- Forecast future reservoir performance, including production rates and reserves, under various development scenarios.
- Conduct economic evaluations and risk assessments associated with different field development strategies.
- Identify opportunities for enhanced oil recovery (EOR) and optimize their implementation through simulation studies.
- Collaborate closely with geologists, geophysicists, production engineers, and management in a remote environment.
- Prepare comprehensive technical reports, presentations, and recommendations for management and stakeholders.
- Stay current with the latest advancements in reservoir engineering technology, modeling techniques, and simulation software.
- Mentor junior engineers and share expertise on reservoir modeling best practices.
- Ensure data integrity and quality throughout the modeling process.
- Master's or Ph.D. in Petroleum Engineering, Chemical Engineering, or a related discipline.
- Minimum of 7 years of progressive experience in reservoir engineering, with a strong emphasis on reservoir modeling and simulation.
- Expertise in using industry-standard reservoir simulation software (e.g., Schlumberger ECLIPSE, CMG Suite, Landmark Graphics).
- Proficiency in data analysis and interpretation of geological, petrophysical, and production data.
- Strong understanding of fluid mechanics, thermodynamics, and multiphase flow in porous media.
- Excellent analytical, problem-solving, and decision-making skills.
- Proven ability to manage complex projects independently and deliver results in a remote setting.
- Strong written and verbal communication skills, with the ability to present technical information clearly to diverse audiences.
- Experience with programming languages such as Python or VBA for automation and analysis is a plus.
- Familiarity with uncertainty analysis and probabilistic methods in reservoir assessment.
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8
Senior Reservoir Engineer - Remote Modeling Specialist
Posted 8 days ago
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Job Description
Our client is seeking a highly skilled and experienced Senior Reservoir Engineer with a specialization in remote modeling and simulation to join our forward-thinking team. This is a fully remote position, offering the flexibility to work from anywhere while contributing to critical oil and gas exploration and production projects. You will be responsible for developing, calibrating, and running advanced reservoir simulation models to predict reservoir performance, optimize production strategies, and evaluate development opportunities. Your role will involve analyzing geological and engineering data, incorporating it into simulation software, and interpreting the results to provide actionable insights to the E&P teams. The ideal candidate will possess a strong analytical mindset, exceptional problem-solving abilities, and a comprehensive understanding of reservoir engineering principles, including fluid flow, rock mechanics, and enhanced oil recovery techniques. Proficiency in industry-standard reservoir simulation software (e.g., ECLIPSE, INTERSECT, CMG) is essential. You will also be expected to collaborate effectively with geoscientists, production engineers, and management through virtual communication channels, presenting findings and recommendations clearly and concisely. This role requires a proactive approach to identifying potential risks and opportunities within reservoirs and developing data-driven strategies to maximize hydrocarbon recovery. We are looking for an individual who can thrive in a remote work environment, maintain high levels of productivity, and contribute to the continuous improvement of our reservoir management practices. Your expertise will directly impact the economic viability and technical success of our upstream operations. The role offers a unique opportunity to work on diverse and challenging projects without the need for physical relocation, focusing solely on the technical excellence of reservoir engineering from your remote workstation, supporting operations in the **Eldoret, Uasin Gishu, KE** region.
Responsibilities:
Responsibilities:
- Develop, calibrate, and run complex reservoir simulation models.
- Analyze geological, geophysical, and engineering data for input into simulations.
- Interpret simulation results to predict reservoir behavior and optimize production.
- Evaluate and recommend development strategies and EOR techniques.
- Collaborate remotely with cross-functional teams (geoscientists, production engineers).
- Prepare detailed technical reports and presentations for management.
- Identify and mitigate reservoir-related risks and uncertainties.
- Stay abreast of new technologies and methodologies in reservoir engineering and simulation.
- Contribute to reserve estimation and field development planning.
- Ensure data integrity and accuracy throughout the modeling process.
- M.Sc. or Ph.D. in Petroleum Engineering, Reservoir Engineering, or a related field.
- Minimum of 7-10 years of experience in reservoir engineering and simulation.
- Proficiency with industry-standard reservoir simulation software (e.g., ECLIPSE, INTERSECT, CMG).
- Strong understanding of reservoir characterization, fluid properties, and phase behavior.
- Excellent analytical, problem-solving, and critical thinking skills.
- Proven ability to work independently and effectively in a remote team environment.
- Strong written and verbal communication skills for technical reporting and collaboration.
- Experience with uncertainty analysis and production forecasting.
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