Postdoctoral Researcher

Company Description

The Jacob Blaustein Institutes for Desert Research (BIDR) is an academic faculty of Ben-Gurion University of the Negev (BGU), located on the Sde Boqer Campus in Israel. With a vibrant, international community of scholars and students, BIDR is dedicated to addressing global challenges related to water scarcity, food security, energy and sustainability.

About the Project

The Global Water Scarcity Project combines cutting-edge data science, real-time analytics, and historical insights to address one of the most pressing global challenges: water scarcity. Through big data integration, AI modeling, and predictive analytics, the project seeks to design adaptive frameworks for sustainable water management across diverse regions worldwide. This initiative is a collaborative effort between BIDR, Arizona State University and the Max Planck Institute of Geoanthropology, offering an exciting opportunity to make a global impact through data-driven solutions.

Role Description

We are seeking a Postdoctoral Researcher with expertise in data science, analytics, and integration to join our dynamic team. This is a full-time hybrid role, based on the Sde Boqer Campus with flexible remote work options.

Eligibility:

Applicants must be legally eligible to work in Israel. Work visas can be arranged for candidates from countries with which Israel has a visa agreement. If you're unsure about your eligibility, please check your country's visa status with Israeli immigration authorities before applying.

Responsibilities:

• Design and implement data pipelines to process and integrate large environmental datasets.
• Develop and apply predictive models and analytics tools for water resource management.
• Collaborate with interdisciplinary teams, contributing to research publications and actionable insights.
• Work with cloud-based platforms, AI tools, and advanced statistical frameworks to extract meaningful trends from complex datasets.
• Participate in knowledge-sharing and collaborative problem-solving across partner institutions.

Qualifications

• Ph.D. in Computer Science, Data Science, Environmental Informatics, or a related field.
• Proficiency in data integration, analysis, and visualization tools (e.g., Python, R, SQL).
• Experience with machine learning algorithms, AI modeling, or advanced statistical analysis is a strong advantage.
• Familiarity with geospatial analysis, GIS tools, or environmental datasets is a plus.
• Strong communication skills and the ability to work collaboratively in an interdisciplinary setting.

Even if you don’t meet every qualification, we highly encourage you to apply if you’re passionate about making a positive impact in water management and sustainability.