471 Data Science jobs in Saudi Arabia

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SWATX is seeking a highly skilled and experienced Data Science Manager to lead our growing data science team. In this strategic role, you will be responsible for overseeing the development and implementation of data-driven solutions to solve complex business challenges. You will mentor and guide a team of data scientists, driving innovation and excellence in analytics and machine learning. If you are a strong leader with a passion for data science and a proven track record of delivering impactful solutions, we invite you to join us.

Responsibilities:

• Lead and mentor a team of data scientists, providing guidance on best practices in data analysis, machine learning, and statistical modeling
• Develop and execute the data science strategy aligned with business objectives, ensuring that data-driven insights are integrated into decision-making processes
• Oversee the design and implementation of innovative data science projects that drive value for the organization
• Collaborate with cross-functional teams to identify opportunities for leveraging data to improve products, services, and operational efficiency
• Build and maintain strong relationships with stakeholders, understanding their data needs and ensuring timely delivery of insights
• Monitor and evaluate the performance of data science models and adjust strategies as necessary to achieve desired results
• Promote a data-driven culture within the organization by communicating the value of data science initiatives to stakeholders at all levels
• Stay updated on the latest trends and developments in data science and analytics, and integrate new methodologies and tools as appropriate
  
  

Requirements

• Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field
• Proven experience in a data science role, with at least 5+ years of experience, including 2+ years in a managerial or leadership position
• Strong proficiency in programming languages such as Python, R, and experience with data manipulation and analysis libraries
• Solid understanding of machine learning algorithms, statistical methodologies, and data modeling techniques
• Experience with data visualization tools (e.g., Tableau, Power BI) to communicate findings effectively
• Excellent project management skills and ability to prioritize tasks in a fast-paced environment
• Strong analytical and problem-solving skills with attention to detail
• Exceptional communication skills, both verbal and written, in English and Arabic
• Proven capability to drive collaboration across teams and influence senior stakeholders
  
  

Preferable Certificates:

• Certified Data Scientist (CDS)
• Microsoft Certified: Azure Data Scientist Associate
• Google Cloud Professional Data Engineer

Seniority level

• Seniority level Mid-Senior level

Employment type

• Employment type Full-time

Job function

• Job function Information Technology
• Industries IT Services and IT Consulting

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Overview

SWATX is looking for a visionary and results-driven Senior Data Science Manager to join our leadership team. In this pivotal role, you will be responsible for overseeing the strategic direction and execution of data science initiatives across the organization. You will lead a talented team of data scientists, driving innovation in predictive modeling, machine learning, and advanced analytics. As a key contributor to our data strategy, you will collaborate closely with senior leadership and cross-functional teams to deliver impactful insights and solutions that enhance business performance.

Responsibilities

• Develop and implement the overall data science vision, strategy, and framework to align with organizational goals


• Lead a high-performing team of data scientists, fostering a culture of collaboration, innovation, and continuous learning


• Drive the execution of strategic data science projects, ensuring alignment with business objectives and delivery of actionable insights


• Collaborate with stakeholders to identify high-impact opportunities for modeling and analytics that can enhance decision-making and operational efficiency


• Oversee the design and implementation of complex machine learning algorithms and statistical models to solve business challenges


• Monitor industry trends and emerging technologies in data science and analytics, incorporating best practices into the team's methodologies


• Provide mentorship and professional development opportunities for team members to enhance their skill sets and career growth


• Present findings and recommendations to senior leadership, translating complex data insights into clear and actionable strategies

Requirements

• Master's degree or Ph.D. in Data Science, Computer Science, Statistics, Mathematics, or a related field


• A minimum of 7+ years of experience in data science or analytics, with 3+ years in a leadership role managing data science teams


• Proficient in programming languages such as Python, R, and experience with big data technologies (e.g., Hadoop, Spark)


• Deep understanding of machine learning techniques, statistical modeling, and advanced analytics methodologies


• Proven track record of successfully leading and delivering large-scale data science projects that drive business value


• Expertise in data visualization tools (e.g., Tableau, Power BI) for effectively communicating complex analyses


• Strong project management skills and ability to lead teams in a fast-paced environment


• Excellent analytical and strategic thinking skills, with a focus on results


• Outstanding communication and interpersonal skills, with the ability to convey technical information to non-technical stakeholders in English and Arabic

Preferable Certificates

• Certified Data Scientist (CDS)


• Microsoft Certified: Azure Data Scientist Associate


• Google Cloud Professional Data Engineer

Seniority level

• Mid-Senior level

Employment type

• Full-time

Job function

• Information Technology

Industries

• IT Services and IT Consulting

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• Lead/ Staff Data Scientist (Bangkok based, relocation provided)


• Senior Data Scientist (Bangkok based, relocation provided)


• Lead DS (Data Scientist) Bangkok based, Relocation provided

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Adjunct/Visiting Faculty Position - Data Science

The KSPP is a newly established graduate school that offers master’s and executive education programs. The first cohort of master’s students commenced their graduate studies in the fall of 2024. Situated in the thriving capital city of Riyadh, Saudi Arabia, on the state-of-the-art KAPSARC campus, the KSPP is well-placed to offer students an exceptional educational experience.

The KSPP’s vision is to be a world-class education and research institution that prepares the next generation of public policy leaders and professionals within the Kingdom of Saudi Arabia and globally. To achieve this vision, the school is committed to providing high-quality educational programs and creating a bridge between academia, industry, and government. As the first public policy school in the Kingdom of Saudi Arabia, the KSPP is uniquely positioned to offer public policy degrees focusing on management and leadership, energy and climate policy, and data analytics. By providing concentrations in these areas, the school aims to help students develop the skills and knowledge necessary to address pressing policy challenges and make a meaningful impact in their communities and beyond.

The KAPSARC School of Public Policy (KSPP) invites applications for an Adjunct/Visiting faculty position in Data Science. We welcome candidates from any subfield of Data Science, including those with research interests that intersect with political science, decision science, and/or economics. The KSPP offers a highly competitive salary and benefits package, including children’s educational support, housing support, and premier health insurance.

Responsibilities:

1. The successful candidate will be expected to carry out impactful research, teach courses related to the candidate’s research field, contribute to core courses and/or electives in public sector management and leadership, supervise capstone projects, and contribute to the overall academic environment of the School.

Qualifications:

1. PhD or equivalent degree in data science or similar discipline and strong teaching, research, and service record.

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Join to apply for the Data Science Consultant – Gen AI Specialist role at EPAM Systems .

EPAM is driving digital transformation across the Middle East, and we’re expanding our Data Practice in Saudi Arabia to meet the rising demand for cutting-edge Generative AI (Gen AI) and advanced data solutions.

We are looking for an experienced Data Science Consultant with a strong focus on Gen AI applications across industries but with a strong preference for the oil and gas industry. In this role, you will design, deploy and optimize AI-driven solutions, helping organizations unlock new opportunities and navigate the evolving AI landscape.

If you are passionate about leveraging AI to solve complex business challenges and create real impact, we invite you to join us in shaping the future of AI-driven innovation.

Responsibilities

• Partner with clients across industries to define and execute Gen AI strategies that align with their business goals
• Design and implement innovative AI-driven products, including customer personalization tools, demand forecasting systems, dynamic pricing solutions and operational automation
• Lead the development, deployment and monitoring of Gen AI/ML models with a strong focus on MLOps, operational scalability and model lifecycle management
• Leverage Gen AI technologies, including Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG), to solve industry-specific challenges such as supply chain optimization, risk assessment, predictive maintenance and enhanced customer engagement
• Communicate AI strategies, opportunities and risks effectively with senior executives and cross-functional teams
• Ensure AI solutions are fair, explainable and aligned with responsible AI practices
• Work closely with legal and compliance teams to navigate industry regulations and other emerging AI governance frameworks
• Stay ahead of industry trends, emerging Gen AI technologies and evolving regulatory landscapes
• Contribute to pre-sales activities, including client presentations, product demos and responses to RFPs/RFIs

Requirements

• Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics or a related field; Ph.D. is a plus
• Extensive experience in data science roles with demonstrable impact across the Oil and Gas industry; experience in IT consulting is highly desirable
• Expertise in Gen AI, including Large Language Models (LLMs), Retrieval-Augmented Generation (RAG) and advanced AI applications
• Strong understanding of AI/ML tools and platforms such as Azure, AWS, GCP, Databricks, MLFlow and Streamlit
• Proficiency in Python and experience with frameworks like Airflow, Plotly Dash or similar tools
• Proven track record of implementing responsible AI practices, addressing bias and ensuring model explainability
• Strong communication skills with the ability to translate complex AI concepts into actionable insights for senior business leaders
• Familiarity with AI regulatory frameworks and other relevant compliance standards

We offer

• General Organization for Social Insurance (GOSI)
• Private healthcare and life insurance
• End of service gratuity
• Annual air travel tickets for expatriates
• Corporate Programs including Employee Referral Program with rewards
• Learning and development opportunities including in-house training and coaching, professional certifications, over 22,000 courses on LinkedIn Learning Solutions and much more
• All benefits and perks are subject to certain eligibility requirements

Seniority level

• Associate

Employment type

• Full-time

Job function

• Business Development, Information Technology, and Engineering

Industries

• Software Development and IT Services and IT Consulting

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This is an onsite position to teach students in Riyadh, Saudi Arabia. Travel to the jobsite will be required and it will be a contract role for 4-6 months. All necessary business travel expenses will be handled by Coding Dojo._

As an instructor you will lead your own cohort. This position includes training through more complex projects, on-line/on-site classroom support, teaching, lecturing, live demos and more. The position may include refining and creating courses to be released to Coding Dojo boot camp students.

**Responsibilities**
- Reviewing lecture content and preparing to instruct the class if needed (daily)
- Taking attendance (if TA is not present, daily)
- Assisting with the morning session (daily)
- Assisting with the afternoon session (daily)
- Moving through online breakout rooms to assist students (daily)
- Reviewing and leaving feedback on assignments (daily)
- Deliver instruction on data science, data analytics, machine learning, Python, SQL, statistics, probability, and data engineering
- Facilitate group discussions, demos, and in-class activities
- Follow industry trends in big data, deep learning, machine learning, and AI
- Play a hands-on role in curriculum development, use what you learn from working with students to make the curriculum world-class
- Gather and report on student metrics
- Work alongside Coding Dojo’s Online Instruction team to deliver remote training.
- Participate in professional training, so you stay fresh!
- Responsible for potential deployment with new or existing Coding Dojo clients with the ability to contextualize work based on client requests

**Core Competencies**
- Experience in teaching, mentoring, industry training, online/classroom instruction
- Excellent troubleshooting skills, self-motivated, results-driven, and well-organized
- Excellent oral and written communications skills

**Minimum Requirements**
- Masters or Ph.D. in data science, engineering, mathematics, statistics, or related degree from an accredited college or university
- 3 years of industry experience working in a data science role (e.g. Data Management, Data Governance, Data Science Instructor, or Data Analyst)
- Reliable internet connection and equipment to perform all job duties

**Benefits**
- Once-in-a-lifetime chance to travel to Riyadh, Saudi Arabia
- All necessary travel expenses paid (plane ticket, living quarters, etc.)
- Excellent entry into portfolio/resume/CV
- Support from world class network of teaching staff
- Experience the technology and skills without the stress of actual development/engineering
- Be a part of the mission to diversify the tech industry
- Be on the cutting edge of new program development
- Work with students and staff from around the world
- Share your experience and knowledge with future generations

**About Coding Dojo**

Coding Dojo is a global education technology company that offers a three full-stack computer programming Bootcamp, as well as courses on Data Science and other emerging technologies. Our innovative curriculum and Learning Management System is designed to train students to become self-sufficient developers, regardless of their technical background. We also make it our mission to support underserved communities and increase diversity in the tech industry.

This position is a rare opportunity to join a rapidly growing company and make a positive impact in many people's lives. At Coding Dojo we pride ourselves on possessing a culture of execution that caters to wavemakers rather than wave riders. If you are interested in joining a diverse and dynamic team who values speed, continuous improvement, measurement, focus, accountability, and “attacking the gap”, you will feel right at home at Coding Dojo.
- The dojo is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. Coding Dojo is committed to providing access, equal opportunity, and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities._

Overview

Join to apply for the Principal (Director) Data Science Consultant Practice Lead role at EPAM Systems .

EPAM is driving digital transformation across the Middle East and we’re expanding our Data Practice in Saudi Arabia to meet the rising demand for cutting-edge Generative AI (Gen AI) and advanced data solutions.

We are looking for an experienced Principal (Director) Data Science Consultant Practice Lead with a strong focus on Gen AI applications across industries. In this role, you will design, deploy and optimize AI-driven solutions, helping organizations unlock new opportunities and navigate the evolving AI landscape.

If you are passionate about leveraging AI to solve complex business challenges and create real impact, we invite you to join us in shaping the future of AI-driven innovation.

The role offers exciting opportunities to play a highly visible role in partnership with the wider European data leadership teams to drive growth in the region.

Responsibilities

• Provide technical leadership and strategic direction expertise with clients across industries to define and execute Gen AI strategies that align with their business goals
• Design and implement innovative AI-driven products, including customer personalization tools, demand forecasting systems, dynamic pricing solutions and operational automation
• Lead the development, deployment and monitoring of Gen AI/ML models with a strong focus on MLOps, operational scalability and model lifecycle management
• Leverage Gen AI technologies, including Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG), to solve industry-specific challenges such as supply chain optimization, risk assessment, predictive maintenance and enhanced customer engagement
• Communicate AI strategies, opportunities and risks effectively with senior executives and cross-functional teams
• Ensure AI solutions are fair, explainable and aligned with responsible AI practices
• Work closely with legal and compliance teams to navigate industry regulations
• Stay ahead of industry trends, emerging Gen AI technologies and evolving regulatory landscapes
• Contribute to pre-sales activities, including client presentations, product demos and responses to RFPs/RFIs

Requirements

• Bachelor's or Master's or PhD in Computer Science, Data Science, Statistics or a related field or extensive relevant work experience
• Extensive experience in data science leadership roles with demonstrable impact across various industries. Experience in IT consulting is highly desirable
• Able to act as a driving force in developing and expanding the Middle East Practice footprint in partnership with the wider Data leadership teams
• Expertise in Gen AI, including Large Language Models (LLMs), Retrieval-Augmented Generation (RAG) and advanced AI applications
• Strong understanding of AI/ML tools and platforms such as Azure, AWS, GCP, Databricks, MLFlow and Streamlit
• Proficiency in Python and experience with frameworks like Airflow, Plotly Dash or similar tools
• Proven track record of implementing responsible AI practices, addressing bias and ensuring model explainability
• Strong communication skills with the ability to translate complex AI concepts into actionable insights for senior business leaders
• Familiarity with AI regulatory frameworks
• Experience in pre-sales or supporting sales teams
• Arabic speaking skills is an advantage

We offer

• General Organization for Social Insurance (GOSI)
• Private healthcare and life insurance
• End of service gratuity
• Annual air travel tickets for expatriates
• Corporate Programs including Employee Referral Program with rewards
• Learning and development opportunities including in-house training and coaching, professional certifications, over 22,000 courses on LinkedIn Learning Solutions and much more
• All benefits and perks are subject to certain eligibility requirements

Seniority level

• Director

Employment type

• Full-time

Job function

• Business Development, Information Technology, and Engineering
• Industries: Software Development and IT Services and IT Consulting

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Join to apply for the Principal (Director) Data Science Consultant Practice Lead role at EPAM Systems

Join to apply for the Principal (Director) Data Science Consultant Practice Lead role at EPAM Systems

EPAM is driving digital transformation across the Middle East and we’re expanding our Data Practice in Saudi Arabia to meet the rising demand for cutting-edge Generative AI (Gen AI) and advanced data solutions.

We are looking for an experienced Principal (Director) Data Science Consultant Practice Lead with a strong focus on Gen AI applications across industries. In this role, you will design, deploy and optimize AI-driven solutions, helping organizations unlock new opportunities and navigate the evolving AI landscape.

If you are passionate about leveraging AI to solve complex business challenges and create real impact, we invite you to join us in shaping the future of AI-driven innovation.

The role offers exciting opportunities to play a highly visible role in partnership with the wider European data leadership teams to drive growth in the region.

Responsibilities

• Provide technical leadership and strategic direction expertise with clients across industries to define and execute Gen AI strategies that align with their business goals
• Design and implement innovative AI-driven products, including customer personalization tools, demand forecasting systems, dynamic pricing solutions and operational automation
• Lead the development, deployment and monitoring of Gen AI/ML models with a strong focus on MLOps, operational scalability and model lifecycle management
• Leverage Gen AI technologies, including Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG), to solve industry-specific challenges such as supply chain optimization, risk assessment, predictive maintenance and enhanced customer engagement
• Communicate AI strategies, opportunities and risks effectively with senior executives and cross-functional teams
• Ensure AI solutions are fair, explainable and aligned with responsible AI practices
• Work closely with legal and compliance teams to navigate industry regulations
• Stay ahead of industry trends, emerging Gen AI technologies and evolving regulatory landscapes
• Contribute to pre-sales activities, including client presentations, product demos and responses to RFPs/RFIs

Requirements

• Bachelor's or Master's or PhD in Computer Science, Data Science, Statistics or a related field or extensive relevant work experience
• Extensive experience in data science leadership roles with demonstrable impact across various industries. Experience in IT consulting is highly desirable
• Able to act as a diving force in developing and expanding the Middle East Practice footprint in partnership with the wider Data leadership teams
• Expertise in Gen AI, including Large Language Models (LLMs), Retrieval-Augmented Generation (RAG) and advanced AI applications
• Strong understanding of AI/ML tools and platforms such as Azure, AWS, GCP, Databricks, MLFlow and Streamlit
• Proficiency in Python and experience with frameworks like Airflow, Plotly Dash or similar tools
• Proven track record of implementing responsible AI practices, addressing bias and ensuring model explainability
• Strong communication skills with the ability to translate complex AI concepts into actionable insights for senior business leaders
• Familiarity with AI regulatory frameworks
• Experience in pre-sales or supporting sales teams
• Arabic speaking skills is an advantage

We offer

• General Organization for Social Insurance (GOSI)
• Private healthcare and life insurance
• End of service gratuity
• Annual air travel tickets for expatriates
• Corporate Programs including Employee Referral Program with rewards
• Learning and development opportunities including in-house training and coaching, professional certifications, over 22,000 courses on LinkedIn Learning Solutions and much more
• *All benefits and perks are subject to certain eligibility requirements

Seniority level

• Seniority level Director

Employment type

• Employment type Full-time

Job function

• Job function Business Development, Information Technology, and Engineering
• Industries Software Development and IT Services and IT Consulting

Referrals increase your chances of interviewing at EPAM Systems by 2x

Sign in to set job alerts for “Director Data Science” roles. Director, Product Management - Advanced Analytics & AI Director of Partner Operations - Based in Riyadh

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Physical Science and Engineering Division

Organisation/Company KAUST Department Physical Science and Engineering Division Research Field Geosciences » Geology Geosciences » Other Mathematics » Statistics Mathematics » Other Researcher Profile First Stage Researcher (R1) Recognised Researcher (R2) Established Researcher (R3) Positions Postdoc Positions Country Saudi Arabia Application Deadline 31 May 2026 - 23:59 (Asia/Riyadh) Type of Contract Temporary Job Status Full-time Hours Per Week 40 Offer Starting Date 1 Jun 2025 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No

Offer Description

Professor Max Frenzel is currently recruiting for a 2-year Post-doc position (extendable) to join the new Mineral Exploration and Exploitation Group at KAUST. The focus of the position will be on the development of new methods integrating a variety of data types (remote sensing, geology, geophysics, geochemistry) for geological modelling and advanced exploration targeting of mineral deposits. These workflows will then be applied in relevant Saudi Arabian contexts to help discover new ore deposits.

The position will combine techniques from geological modelling, geostatistics, machine learning, and potentially geophysics (inversion) to develop new exploration targeting methods. These will be designed to make the most of the excellent outcrop conditions in Saudi Arabia, which means that a particular focus will be placed on the use of remote sensing data. Other relevant data types are geological maps, geophysical surveys (gravity, electromagnetic, seismic), and soil or stream sediment geochemistry. In terms of the application to specific regions in Saudi Arabia, the candidate will be free to choose their own case study(s). The willingness to collaborate closely with local exploration companies is expected.

Saudi Arabia is a fast-developing country offering unparalleled opportunities in mineral resources and other geoscience-related fields. In particular, the recent opening of Saudi Arabia for international exploration companies has led to a substantial increase of activity in the mineral exploration sector. Given the great geological potential of Saudi Arabia for different types of mineral deposits, it is probably the country with the most exciting mineral exploration opportunities right now.

• Excellent coding skills in python, R, or another relevant language are expected, as demonstrated by previously completed projects.
• Strong candidates will also have a firm background in geostatistics, geospatial modelling, and/or data science.
• Excellent oral and written communication skills in English are required, as evidenced by a strong publication and conference presentation record.
• In addition, candidates should hold a driver’s licence or be willing to acquire one, and should be willing to undertake fieldwork.
• Experience in the mineral resource sector is desirable but not essential.
• Experience in conducting UAV surveys is desirable but not essential.
• A completed PhD is sufficient for appointment as a postdoctoral researcher. For appointment as a research scientist, additional research experience of at least 2 years is required in the relevant areas highlighted above.

Specific Requirements

English (C1 / IELTS 7.0 equivalent or better)

Level Good

Research Field Physics » OtherGeosciencesEngineering » Geological engineering Years of Research Experience None

Additional Information

The position will include a competitive salary based on the candidate’s qualifications and experience; benefits include medical and dental insurance, free housing on the KAUST campus, an annual travel allowance, 30 paid vacation days, and other generous benefits. KAUST is a vibrant and international community, with many opportunities for social, sporting, and learning activities outside of work.

The successful applicant will be associated with the new Mineral Exploration and Exploitation Group at KAUST. The group will commence work in August 2025. Its main aim is to contribute to the development of mineral resources in Saudi Arabia by developing innovative approaches to mineral exploration, mining, and mineral processing. The working group will initially consist of 1 PhD student and 2 MSc students, but is projected to grow to 2 postdocs (incl. this positions), 3 PhD students, and a variable number of MSc students. In addition, KAUST provides a highly collaborative research environment, and active engagement of the holder of the position in collaborative activities within and outside of the research group will be strongly encouraged and supported.

Eligibility criteria

Applicants must hold a PhD degree in a relevant discipline, as listed above, and must demonstrate fluency in English in writing, speaking and listening at the indicated level

Selection process

Received applications will be reviewed and suitable candidates interviewed on a rolling basis, starting from June 1, 2025.

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Physical Science and Engineering Division

Organisation/Company KAUST Department Physical Science and Engineering Division Research Field Geosciences » Geology Geosciences » Other Mathematics » Statistics Mathematics » Other Researcher Profile First Stage Researcher (R1) Recognised Researcher (R2) Established Researcher (R3) Positions Postdoc Positions Country Saudi Arabia Application Deadline 31 May 2026 - 23:59 (Asia/Riyadh) Type of Contract Temporary Job Status Full-time Hours Per Week 40 Offer Starting Date 1 Jun 2025 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No

Offer Description

Professor Max Frenzel is currently recruiting for a 2-year Post-doc position (extendable) to join the new Mineral Exploration and Exploitation Group at KAUST. The focus of the position will be on the development of new methods integrating a variety of data types (remote sensing, geology, geophysics, geochemistry) for geological modelling and advanced exploration targeting of mineral deposits. These workflows will then be applied in relevant Saudi Arabian contexts to help discover new ore deposits.

The position will combine techniques from geological modelling, geostatistics, machine learning, and potentially geophysics (inversion) to develop new exploration targeting methods. These will be designed to make the most of the excellent outcrop conditions in Saudi Arabia, which means that a particular focus will be placed on the use of remote sensing data. Other relevant data types are geological maps, geophysical surveys (gravity, electromagnetic, seismic), and soil or stream sediment geochemistry. In terms of the application to specific regions in Saudi Arabia, the candidate will be free to choose their own case study(s). The willingness to collaborate closely with local exploration companies is expected.

Saudi Arabia is a fast-developing country offering unparalleled opportunities in mineral resources and other geoscience-related fields. In particular, the recent opening of Saudi Arabia for international exploration companies has led to a substantial increase of activity in the mineral exploration sector. Given the great geological potential of Saudi Arabia for different types of mineral deposits, it is probably the country with the most exciting mineral exploration opportunities right now.

• Excellent coding skills in python, R, or another relevant language are expected, as demonstrated by previously completed projects.
• Strong candidates will also have a firm background in geostatistics, geospatial modelling, and/or data science.
• Excellent oral and written communication skills in English are required, as evidenced by a strong publication and conference presentation record.
• In addition, candidates should hold a driver’s licence or be willing to acquire one, and should be willing to undertake fieldwork.
• Experience in the mineral resource sector is desirable but not essential.
• Experience in conducting UAV surveys is desirable but not essential.
• A completed PhD is sufficient for appointment as a postdoctoral researcher. For appointment as a research scientist, additional research experience of at least 2 years is required in the relevant areas highlighted above.

Specific Requirements

English (C1 / IELTS 7.0 equivalent or better)

Level Good

Research Field Physics » OtherGeosciencesEngineering » Geological engineering Years of Research Experience None

Additional Information

The position will include a competitive salary based on the candidate’s qualifications and experience; benefits include medical and dental insurance, free housing on the KAUST campus, an annual travel allowance, 30 paid vacation days, and other generous benefits. KAUST is a vibrant and international community, with many opportunities for social, sporting, and learning activities outside of work.

The successful applicant will be associated with the new Mineral Exploration and Exploitation Group at KAUST. The group will commence work in August 2025. Its main aim is to contribute to the development of mineral resources in Saudi Arabia by developing innovative approaches to mineral exploration, mining, and mineral processing. The working group will initially consist of 1 PhD student and 2 MSc students, but is projected to grow to 2 postdocs (incl. this positions), 3 PhD students, and a variable number of MSc students. In addition, KAUST provides a highly collaborative research environment, and active engagement of the holder of the position in collaborative activities within and outside of the research group will be strongly encouraged and supported.

Eligibility criteria

Applicants must hold a PhD degree in a relevant discipline, as listed above, and must demonstrate fluency in English in writing, speaking and listening at the indicated level

Selection process

Received applications will be reviewed and suitable candidates interviewed on a rolling basis, starting from June 1, 2025.

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