Position under active recruitment: Research and development on environment and socioeconomic nexus forecasting technology

What are the key points about environment and socioeconomic nexus forecasting technology?

Our goal is to create a digital twin of the real world where the natural environment, economy, and society are interrelated.

■By linking various simulators developed by experts in the natural environment and economics, we can more precisely reproduce complex systems and events and predict how economic and social decisions will affect the future of the natural environment. We will also work on automated and efficient processing technologies necessary for collaboration among models from different fields.

■Comprehensively understanding the natural environment, economy, and society, we will apply an index to our predictive assessments that comprehensively evaluate the richness of nature, people, and things in terms of not only economic wealth but also the richness of the natural environment and resources as well as human health and education. The effects of changes in economic and social activities in a particular region on the natural environment will be evaluated with the new index in a manner that allows us to present better decision-making options.

■We reproduce changes that economic and social activities in specific regions exert on the natural environment by leveraging information such as sensing data, satellite data, and human-flow data. We then evaluate these changes with new indicators to provide better decision-making options.

Recruitment overview

1Research and development on coupled-simulation technology

Details of work

Depending on your experience and abilities, you will be in charge of one or more of the following.

(1) Coupled simulation: Linking simulators in different fields (such as environment and economy) to manage large-scale time series data, build infrastructure for collaboration and analysis, and study methods for collaborative processing, analysis related to earth science and economic activities, and social implementation.

(2) Automation and optimization: To enable models with different data formats and throughputs to be linked, study methods for automation and optimization using machine-learning technology, etc., conduct demonstration tests, and implement the methods.

Required knowledge, skills, abilities, and experience

• Graduate degree from a science-related department (science, engineering, etc.) or equivalent knowledge
• Experience with computer simulators in any field
• Sufficient English skills to research and write papers in English

Desirable knowledge, skills, abilities, and experience

• Research experience (either macroscopic or microscopic) centered on the analysis and evaluation of phenomena that can be considered part of the Earth system (including human activities)
• Experience in verification using large-scale computer simulators in natural and integrated environments
• Basic knowledge and implementation experience of machine learning and deep learning
• Basic knowledge of programming languages such as Python and Fortran, implementation experience, and verification experience

Qualities we are looking for

• People who can set challenges proactively, search for solutions, and establish technologies without being bound by existing frameworks
• People who can promote research while seeking collaboration both inside and outside the company in order to achieve their goals
• People who can proactively communicate with team members with diverse values and people from various academic fields

2Research and development on mutual-impact assessment

Details of work

Depending on your experience and abilities, you will be in charge of one or more of the following.

(1) Investigate adapting new indicators to existing models: Investigating indicators that comprehensively evaluate the richness of nature, people, and things (including the richness of the natural environment, resources, and society) and apply them to evaluation methods.

(2) Study new models in specific regions: Build simulators in specific regions and industrial sectors to which new indicators are applied, manage and analyze time-series data, and study methods for adapting and implementing new indicators in society.

Required knowledge, skills, abilities, and experience

• Graduate degree from a science-related faculty (science, engineering, etc.) or equivalent knowledge
• Experience in analyzing time-series data and image data and performing statistical processing
• Experience using computer simulators in any field
• Sufficient English skills to research and write papers in English

Desirable knowledge, skills, abilities, and experience

• Research experience based on new evaluation indicators (both macroscopic and microscopic) such as the Inclusive Wealth Index
• Basic knowledge and implementation experience of machine learning and deep learning
• Basic knowledge of programming languages such as Python and Fortran, implementation experience, and verification experience
• Practical experience in business-strategy planning or consulting

Qualities we are looking for

• People who can set challenges proactively, search for solutions, and establish technologies without being bound by existing frameworks
• People who can promote research while seeking collaboration both inside and outside the company in order to achieve their goals
• People who can proactively communicate with team members with diverse values and people from various academic fields

Location

Musashino R&D Center (3-9-11 Midori-cho, Musashino-shi, Tokyo 180-8585)

Message

Established in July 2020, the NTT Space Environment and Energy Research Laboratory is a totally new laboratory that conducts research on a broad scale encompassing outer space and the Earth. We are looking for talented individuals with vision and the passion to take on new challenges as a team member.
We are currently exploring unknown domains, so if you are someone who would like to grow with us, we look forward to hearing from you.

Technology