Research Fellow (Self-Driving Labs for Alternative Protein - Software)

Nanyang Technological University; Singapore; On-site; USD 60,000 - 100,000; Full time

Job summary

An established institution is seeking a Research Fellow to innovate in autonomous laboratory systems, contributing to Singapore's food security goals. This role involves leading the development of AI-driven platforms using machine learning and digital twin technology. You will create automated workflows and collaborate with various stakeholders while mentoring junior researchers. Join a forward-thinking team dedicated to sustainable technology and make a significant impact in the field of alternative proteins.

Qualifications

• PhD in a relevant technical field is required.
• Strong skills in programming and machine learning frameworks.

Responsibilities

• Lead development of machine learning pipelines for automated experimentation.
• Create automated data processing workflows and predictive models.
• Collaborate with stakeholders on system integration.

Skills

Machine Learning

Programming Skills

Cloud Computing

Data Processing

Communication Skills

Education

PhD in Computer Science

PhD in Data Science

PhD in Engineering

PhD in Materials Science

PhD in Chemistry

Job description

Research Fellow (Self-Driving Labs for Alternative Protein - Software)

Apply locations: NTU Main Campus, Singapore
Time type: Full time
Posted on: Posted 30+ Days Ago
Job requisition id: R00019802

The School of Materials Science and Engineering at Nanyang Technological University is a leader in materials innovation and sustainable technology development. The NGenuity Lab, led by Assistant Professor Leonard Ng Wei Tat, specializes in developing autonomous laboratory systems to accelerate scientific discovery through automation and AI.

We are seeking a Research Fellow to lead the development of an autonomous laboratory system supporting Singapore's "30 by 30" food security goal through innovative research in alternative proteins. The focus will be on creating AI-driven platforms that incorporate Large Language Models (LLMs) and digital twin technology, contributing to Singapore's aim to produce 30% of its nutritional needs locally and sustainably by 2030.

Key Responsibilities:

1. Lead the development of machine learning pipelines and LLM-based systems for automated experimentation.
2. Create automated data processing workflows and predictive models.
3. Configure cloud-based and on-premises computing infrastructure for digital twin implementations.
4. Collaborate with internal and external stakeholders on system integration.
5. Mentor junior researchers and contribute to grant writing.

Job Requirements:

1. PhD in Computer Science, Data Science, Engineering, Materials Science, Chemistry, or related technical field.
2. Strong programming skills and experience with machine learning frameworks.
3. Experience with cloud computing platforms and data processing pipelines.
4. Excellent written and oral communication skills.
5. Ability to work independently and collaboratively.

We regret to inform that only shortlisted candidates will be notified.

Hiring Institution: NTU