433 Data Science Management jobs in Saudi Arabia

Data Analysis Specialist - أخصائي تحليل بيانات Data Analysis Specialist - أخصائي تحليل بيانات

Direct message the job poster from Saudi Patient Safety Center - المركز السعودي لسلامة المرضى

Job Purpose - الغرض من الوظيفة

The Data Analyst will play a key role in improving the quality of patient safety data at the Saudi Patient Safety Center (SPSC). By applying advanced statistical and analytical methods, the analyst will generate evidence-based reports, develop national patient safety KPIs, and support decision-making at both national and international levels - سيساهم محلل البيانات بدور محوري في تحسين جودة بيانات سلامة المرضى في المركز السعودي لسلامة المرضى ومن خلال تطبيق الأساليب الإحصائية والتحليلية المتقدمة، سيقوم المحلل بإعداد تقارير قائمة على الأدلة، وتطوير مؤشرات أداء وطنية لسلامة المرضى، ودعم عملية اتخاذ القرار على المستويين الوطني والدولي. ويسهم هذا الدور بشكل مباشر في تعزيز مكانة المركز كجهة وطنية رائدة ذات شراكات دولية ومعترف بها من قبل منظمة الصحة العالمية (WHO).

Responsibilities - المسؤوليات

• Collect, clean, analyze, and present findings of healthcare data using advanced statistical tools and methods - جمع البيانات الصحية وتنظيفها وتحليلها وعرض نتائجها باستخدام أدوات وأساليب إحصائية متقدمة.
• Prepare reports highlighting trends, risks, and recommendations for performance improvement - إعداد تقارير تسلط الضوء على الاتجاهات والمخاطر والتوصيات اللازمة لتحسين الأداء.
• Collaborate with clinical teams to interpret findings and implement evidence-based improvements - التعاون مع الفرق السريرية لتفسير النتائج وتطبيق التحسينات المبنية على الأدلة.
• Support research studies and national/international projects related to patient safety - دعم الدراسات البحثية والمشاريع الوطنية والدولية ذات الصلة بسلامة المرضى.
• Develop, monitor, and evaluate patient safety Key Performance Indicators (KPIs) - تطوير ومتابعة وتقييم مؤشرات الأداء الرئيسة (KPIs) الخاصة بسلامة المرضى.
• Ensure accuracy, integrity, and quality assurance of data before reporting - ضمان دقة ونزاهة البيانات وجودتها قبل نشرها أو الإبلاغ عنها.
• Contribute to strengthening SPSC’s international reporting and benchmarking in line with WHO standards - الإسهام في تعزيز التقارير الدولية والمقارنات المرجعية للمركز بما يتماشى مع معايير منظمة الصحة العالمية.
• Create dashboards and visualization tools (Power BI/Tableau) to facilitate decision-making in patient safety - إنشاء لوحات متابعة وأدوات عرض بيانية (Power BI/Tableau) لدعم عملية اتخاذ القرار في مجال سلامة المرضى.

Requirement and Qualifications - المتطلبات والمؤهلات

• Bachelor or Master’s degree in Biostatistics, Epidemiology, Health Data Science, or a related field - درجة الباكلوريوس او الماجستير في الإحصاء الحيوي، علم الأوبئة، علوم بيانات الصحة، أو مجال ذي صلة.
• Patient Safety certification - شهادة في سلامة المرضى.
• Certified Professional in Healthcare Quality (CPHQ) - أخصائي معتمد في جودة الرعاية الصحية
• Machine Learning specialization - تخصص في التعلم الآلي.
• Lean Six Sigma Green/Black Belt - لين سقما
• Certified Health Data Analyst (CHDA) - محلل بيانات صحية معتمدة
• Proficiency in statistical software and tools such as SAS, R, SPSS, Power BI, or Python - إجادة استخدام البرمجيات والأدوات الإحصائية مثل SAS، R، SPSS، Power BI أو Python.
• Strong SQL and data querying from relational databases or cloud-based environments - إتقان SQL واستخراج البيانات من قواعد البيانات العلائقية أو البيئات السحابية.
• Advanced analytical and problem-solving skills, with ability to extract meaningful insights - مهارات تحليلية متقدمة وحل المشكلات مع القدرة على استنتاج رؤى ذات مغزى.
• Strong reporting skills with ability to communicate complex findings clearly - مهارات قوية في إعداد التقارير وعرض النتائج المعقدة بشكل واضح.
• Ensure data accuracy, quality, and security in compliance with internal policies and data governance standards - ضمان دقة وجودة وأمن البيانات بما يتماشى مع السياسات الداخلية ومعايير حوكمة البيانات.
• Cross-functional Collaboration - القدرة على التعاون الفعال مع فرق متعددة التخصصات.
• Strong communication and data presentation abilities for clinical and non-clinical audiences - قدرات تواصل متميزة وعرض البيانات بطريقة مناسبة للجمهور السريري وغير السريري.
• High attention to detail and accuracy in data work - دقة عالية واهتمام بالتفاصيل في العمل مع البيانات.
• Ability to collaborate effectively in multidisciplinary teams - القدرة على التعاون والعمل الجماعي بفعالية.

Referrals increase your chances of interviewing at Saudi Patient Safety Center - المركز السعودي لسلامة المرضى by 2x

#J-18808-Ljbffr

About the team:

Hudhud Maps Data Science team’s mission is to harness the power of data to build intelligent solutions that elevate the user experience, optimize decision-making, and improve operational efficiencies. As a leader in this team, you will be at the forefront of using cutting-edge AI and machine learning models to solve complex challenges in the MENA region. You’ll work with and hire some of the brightest data science talent, leveraging state-of-the-art technologies such as machine learning, optimization, deep learning, and NLP to transform how cities are mapped and navigated, all while driving real-time impact through our in-house AI and data infrastructure.

What you will do:

• Develop a vision and thought leadership in the space of mapping and location-based intelligence, gaining deep expertise in this domain.
• Define a clear roadmap for the data science teams, ensuring alignment with both product and business goals, while driving team growth and development.
• Lead and scale a distributed Data Science team, collaborating with cross-functional teams to solve challenges in multiple subdomains, including POI (Points of Interest) collection and enrichment, road and map features generation, search, personalization and real-time navigation.
• Develop innovative AI models and data strategies to solve previously unsolvable problems, unlocking new opportunities for Hudhud Maps to deliver exceptional value to users.
• Collaborate with leadership to ensure data science initiatives directly contribute to the company’s strategic goals and have a meaningful impact on the organization.
• Partner with engineering and product teams to deliver major cross-functional projects that push the boundaries of mapping technology.
• Reimagine and reinvent how mapping and navigation are experienced in the region using AI-driven approaches.
• Foster collaboration with external AI communities, universities, and the broader tech ecosystem in the MENA region to raise the bar for applied AI.

What you will need:

• An advanced degree in a quantitative field such as computer science, statistics, economics, or mathematics.
• At least 8+ years of professional experience working in data science and machine learning teams.
• Strong experience in building, managing, and growing data science teams is essential.
• A proven track record of delivering high-impact AI solutions and successfully leading cross-functional projects.
• Experience launching new products and continuously improving them over time.
• Demonstrated ability to attract, retain, and nurture top-tier talent.
• A passion for fostering a culture of ownership, collaboration, and results.
• Excellent leadership, communication, critical thinking, and judgment skills.
• A strong motivation to make an impact and elevate the AI landscape in the region.

#J-18808-Ljbffr

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.

#J-18808-Ljbffr

**Data Science Manager
- Health Care**

**Location: Riyadh, Saudi Arabia**

**About Accenture**

**Accenture Strategy & Consulting**

In today’s world, business leaders want to rapidly and confidently reinvent to increase resilience, mitigate risk, and grow with sustainable value. That’s where Accenture Strategy & Consulting comes in. We bring together strategic visionaries, industry experts, practitioners from across every enterprise function, business intelligence professionals, change specialists, data and AI authorities, and many other specialized skills to co-create each client’s unique path to reinvention. You will be a trusted partner to business leaders, working with a diverse team of experts to deliver successful tech-enabled transformation and new kinds of value for your clients.

**Key Responsibilities**
- Architect and develop use cases in disease diagnosis domain
- Work closely with academia, team members and external stake holders
- Define and implement the blueprint architecture, integration, data architecture, infrastructure and security
- Support in the technical challenges
- Proactively Identify and assess technical problems and create solutions
- Propose further enhancements based on future sector expansion needs
- Mentor developers, senior developers and software architects
- Drive innovation strategy and programs
- Lead the creation of well-articulated thought leadership assets that present innovative and action-oriented information, insight, knowledge, guidance and recommendations on a specific market-relevant strategy topic
- Shape and lead innovative and pragmatic programs that translate results from business diagnosis and planning into transformation solutions within the digital area
- Lead the creation of well-articulated thought leadership assets that present innovative and action-oriented information, insight, knowledge, guidance and recommendations on a specific market-relevant digital topic
- Shape and lead innovative and pragmatic programs that translate results from business diagnosis and planning into transformation solutions
- Identify/prioritize account-level value creation opportunities based on assessment activities and an understanding of high
- level visions, performance gaps, and needs

**Key Skills**
- Bachelor's degree in Information Technology or related discipline required, Master’s degree preferred
- Arabic speaking and fluent English must
- At least 8-12 years of experience in the area of software delivery/product management, with demonstrated business impact
- Strong understanding of next generation technical solutions, and experience with cloud and Applied intelligence /Machine learning
- In depth experience in risk, issues & dependency
- Excellent interpersonal skills to develop and maintain relationships with various internal and external stakeholders
- Proven experience in problem solving, navigating through complex challenges
- Analysis and Strategic Insights
- Perform analysis to gain insights; use insights to determine what the client needs to change and how to get there; diagnose the issue and plan the transformation within the specific digital capability area
- Lead value analysis to generate insights and identify value creation opportunities for clients and Accenture across all Digital capability areas
- Problem Solving and Solution and Partner with our clients to make bold decisions on priority C-Suite issues

**Why join us?**
- We offer a transparent, fast paced approach career progression, with a focus on your strengths and continuous coaching from senior colleagues
- You will benefit from working alongside Accenture experts who are solving some of the biggest industry challenges with innovative thinking and pioneering tools
- Flexible work arrangements and a range of benefits including competitive rewards
- You will have access to state-of-the-art technology that will give you the opportunity to deepen your existing skills even as you help create the latest business trends
- You will also have opportunities to make a difference to the communities in which we work and live

**Next Steps**

If this sounds like the ideal role, career and company for you, click below to apply.

Accenture Middle East: LinkedIn, Instagram, Facebook, Twitter, YouTube

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

#J-18808-Ljbffr

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

#J-18808-Ljbffr

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

We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.

#J-18808-Ljbffr

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.

#J-18808-Ljbffr

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.

#J-18808-Ljbffr