Research Fellow/Research Associate (Developing AI-enabled software for nature-positive business transformation in ASEAN)

Nanyang Technological University; Singapore; Vor Ort; SGD 70.000 - 110.000; Vollzeit

Zusammenfassung

EOS, a University Research Institute at NTU Singapore, seeks a Research Associate or Research Fellow to develop AI-enabled software and tools for nature-positive business transformation in ASEAN. You will lead research at the AI-sustainability interface, build prototypes, and contribute to publications, while expanding a new venture in Southeast Asia.

The role offers opportunities to secure follow-on funding, shape a long-term research vision, and collaborate with an international research

Qualifikationen

• MSc or PhD in Computer Science, Data Science, Artificial Intelligence, or a related field.
• Proven experience in large/small language model development or AI-enabled software development.
• Strong programming skills in Python, with familiarity with PyTorch, TensorFlow, or Hugging Face Transformers.
• Experience with data engineering (preprocessing, annotation, pipelines).
• Strong analytical and problem-solving skills, with emphasis on reproducibility and open-source practices.
• Experience or interest in applied NLP for sustainability, ESG, or related contexts.

Aufgaben

• Review developments in LLMs, agents, and world models for sustainability applications.
• Design and develop AI-enabled software/tools for sustainability contexts using curated datasets.
• Implement, test, and benchmark tool performance using open-source frameworks.
• Collaborate with sustainability researchers, data scientists, and industry partners.
• Develop user-facing prototypes or APIs to demonstrate model applications in reporting or decision support.
• Contribute to academic publications and open-source releases.

Kenntnisse

Python

PyTorch

TensorFlow

Hugging Face Transformers

Data engineering

NLP

Research

Ausbildung

MSc or PhD in Computer Science/Data Science/AI

Jobbeschreibung

EOS is a University Research Institute at Nanyang Technological University that conducts fundamental research on earthquakes, volcanic eruptions, tsunamis, and climate change in and around Southeast Asia, towards safer and more sustainable societies. For more information on EOS please visit http://www.earthobservatory.sg. We are looking for a Research Associate or Research Fellow to conduct research on the development of AI or AI-enabled software and tools to support nature-positive business transformation in ASEAN. The research will contribute to a new venture aiming to support Southeast Asian businesses in their sustainability transition. We are looking for a motivated, entrepreneurial researcher who is not only technically strong but also passionate about developing a long‑term research vision at the interface between AI and sustainability. The position offers the chance to build a new line of activity, secure follow‑on funding, and establish a leadership role within a dynamic, internationally connected research ecosystem.

Key Responsibilities

• Review recent developments in the field of Large Language Models, agents, and world models for sustainability applications
• Design and develop AI or AI‑enabled software and tools tailored to sustainability and nature‑positive business contexts, using curated datasets on sustainability reporting in Southeast Asia
• Implement, test, and benchmark tool performance using open‑source frameworks and tools
• Collaborate with sustainability researchers, data scientists, and industry partners to ensure model relevance and usability
• Develop user‑facing prototypes or APIs that demonstrate the model’s practical applications in reporting, analysis, or decision support
• Contribute to academic publications, open‑source releases, and capacity‑building activities

Job Requirements

• MSc or PhD in Computer Science, Data Science, Artificial Intelligence, or a related field
• Proven experience in large/small language model development or AI‑enabled software development
• Strong programming skills in Python, and familiarity with key libraries such as PyTorch, TensorFlow, or Hugging Face Transformers
• Experience with data engineering (e.g., preprocessing, annotation, pipelines)
• Strong analytical and problem‑solving skills, with attention to reproducibility and open‑source best practices
• Experience or demonstrated interest in applied NLP for related contexts (e.g., finance, ESG, corporate sustainability, environmental data)

EOS seeks a diverse and inclusive workforce and is committed to equality of opportunity. We welcome applications from all and recruit on the basis of merit, regardless of age, race, gender, religion, marital status, family responsibilities, or disability. We regret to inform you that only shortlisted candidates will be notified.

Hiring Institution

NTU A research‑intensive public university, Nanyang Technological University, Singapore (NTU Singapore) has 33,000 undergraduate and postgraduate students in the Engineering, Business, Science, Humanities, Arts, & Social Sciences, and Graduate colleges. It also has a medical school, the Lee Kong Chian School of Medicine, established jointly with Imperial College London. NTU is also home to world‑class autonomous institutes – the National Institute of Education, S Rajaratnam School of International Studies, Earth Observatory of Singapore, and Singapore Centre for Environmental Life Sciences Engineering – and various leading research centres such as the Nanyang Environment & Water Research Institute (NEWRI) and Energy Research Institute @ NTU (ERI@N). Ranked amongst the world’s top universities by QS, NTU has also been named the world’s top young university for the past seven years. The University’s main campus is frequently listed among the Top 15 most beautiful university campuses in the world and has 57 Green Mark‑certified (equivalent to LEED‑certified) buildings, of which 95% are certified Green Mark Platinum. Apart from its main campus, NTU also has a campus in Novena, Singapore’s healthcare district. Under the NTU Smart Campus vision, the University harnesses the power of digital technology and tech‑enabled solutions to support better learning and living experiences, the discovery of new knowledge, and the sustainability of resources. For more information, visit www.ntu.edu.sg About NIE About RSIS About LKCMedicine About NTUItive