Geospatial Analyst (Graduate Research Assistant)

About us:

APPLIED AGRICULTURAL RESOURCES Sdn. Bhd. was established in 1986 and is an associate company of two highly successful public-listed Malaysian companies, Boustead Plantations Berhad and Kuala Lumpur Kepong Berhad. As a leading research centre in tropical plantation crops, our core activities involve research in crop improvement and production, providing advisory services for plantation crops, and producing and selling oil palm tissue culture ramets and seeds.

Our research programme is strategically focused on improving productivity and efficiency in estates. We use the latest research findings, innovations, and technological advances in crop science and information technology. We engage in collaborative research with both local and overseas universities, research institutions, and commercial companies. Our research findings are published in high-impact journals and presented at conferences worldwide. For more detailed information about our activities, please visit our website at www.aarsb.com.my.

About the Research Unit:

The Smart Farming Department at AAR is dedicated to helping our principals achieve high productivity and efficiency, maximising profits while enhancing the overall sustainability and resilience of agricultural operations. The department focuses on improving oil palm estates through site-specific practices and advanced planting methods, systems, and equipment.

Your Role:

We are seeking a highly motivated and skilled Geospatial Analyst to join our team on a two-year contract, with the potential for an extension based on performance.

• Duration: Two years, with the possibility of extension at two-year intervals.
• Performance Evaluation: Based on performance and contribution, successful candidates may have the opportunity to transition to permanent employment

Requirements:

1. BSc or higher degree in Computer Science, GIS, Remote Sensing, Agricultural Engineering, or a related field, with a minimum CGPA of 3.5.
2. Solid understanding of geostatistical principles and methodologies, GNSS, remote sensing, and drone technology.
3. Proficiency in programming languages such as C#, Java, Python, or R.
4. Familiarity with machine learning and AI tools for data analysis.

Responsibilities:

1. Collect and analyse geospatial data related to oil palm from various sources, including remote sensing, LiDAR, and GNSS, to support decision-making.
2. Apply geostatistical analysis, machine learning algorithms, simulations, and predictive modelling techniques to identify trends, correlations, and patterns in geospatial data.
3. Create custom GIS applications, extensions, and functionalities for both mobile devices and web platforms.
4. Demonstrate familiarity with the principles of cartography and GIS software, such as QGIS.
5. Utilise AI tools for image analysis to extract valuable insights and patterns.
6. Work closely with cross-functional teams to improve data collection methods and techniques, validate hypotheses, and enhance research outcomes.
7. Write and publish scientific papers and technical reports.
8. Manage, support, and train technical and field staff.

Additional Skills and Notes:

1. Proficient in spoken and written English and Bahasa Malaysia.
2. Possess good communication and interpersonal skills.
3. Independent and able to travel when required.
4. Willing to work in plantation environment.
5. Prior experience in agricultural research and publishing scientific papers is a plus.