Ecological Data Scientist (Graduate Research Assistant)
- Kota Damansara, Selangor
- Environmental, Earth & Geosciences (Science & Technology)
- Full time
- RM 4,050 – RM 5,000 per month
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 Ecological Data Scientist 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:
- BSc or higher degree in Ecology, Agricultural Science, Environmental Science, Computer Science, Statistics, or a related field, with a minimum CGPA of 3.5.
- Experience in machine learning, spatial statistics, time series analysis, Bayesian statistics, mixed-effect models, and path or structural equation modelling is preferred.
- Experience in analysing or managing ecological data is desirable.
- Familiarity with machine learning and AI tools for data analysis is a plus.
- Willing to work in plantation and tropical forest environment.
- Willing to be based in Sabah.
Responsibilities:
- Gather and analyse field data that describe the dynamics and structure of a tropical rainforest ecosystem, including plant, animal, soil microbial, and physical processes, and evaluate how these factors interact with and enhance sustainable practices in oil palm plantations.
- Assist in managing and analysing the existing dataset and prepare the data for calibrating and validating predictions.
- Conduct analyses such as ecosystem service valuation, species interaction network analysis, microclimate and hydrology time series, and mapping of ecosystem features.
- Collect new data in the field if significant data gaps are identified.
- Collaborate with internal and external cross-functional teams and researchers to validate hypotheses and enhance research outcomes.
- Write, publish, and present scientific papers and technical reports.
- Manage, support, and train technical and field staff.
Additional Skills and Notes:
- Proficient in spoken and written English and Bahasa Malaysia.
- Possess good communication and interpersonal skills.
- Prior experience in agricultural research and publishing scientific papers is a plus.
APPLY AT :- JOBSTREET MALAYSIA – APPLIED AGRICULTURAL RESOURCES