Who we are looking for:

Creativity in new ideas and future focus vision.
Collaboration with colleagues and the community at large.
Work Smart, Play Smart!

What you'll do:

Undertake R&D works for the manufacturing process and function material development (e.g. advanced electroplating processing, nanocomposite material processing, chemical processing, etc.)
Support team head to manage current R&D projects on new material development
To support R&D project prospection with clients and assist in preparation of proposals related to manufacturing/ function material technology
Develop and train AI/ML models (deep learning, active learning, Bayesian optimization, and surrogate models) for property prediction, materials discovery, and process optimization.
Build and curate high-quality materials datasets from experimental results, literature sources, and atomistic mechanical simulations.
Integrate machine learning predictions with experimentation to drive closed-loop cycles: AI Prediction → Experiment → Material Characterization → Data → Model Update.
Develop experiments to validate the AI predictions and evaluate performance against established benchmarks
Travel to Chinese Mainland or overseas occasionally for on-site work and project implementation.

You'll be a good fit if you have/are:

Master degree in Materials Science, Chemistry, Chemical Engineering, Computer Science, or a related computational field
Research background with nanomaterial application technology or graphene application technology or microfabrication technology is a plus
Minimum 3-year experience preferably in manufacturing/material processing technology development
Candidates who can demonstrate knowledge of AI, or experience and ability to apply Generative AI tools in their work, will be preferred.
Proficiency in AI/ML models for property prediction, materials discovery, and process optimization.
Experience with scientific/atomistic simulation tools or packages (e.g., DFT modeling, molecular dynamics, or platforms like Mira and DP Technology).
Familiarity with active learning, graph neural networks for nanomaterial/molecular structures, or Bayesian optimization.
Understanding of structure-property relationships in materials (e.g., nanomaterial, microelectronic, battery components, or catalysts).
Candidates who can demonstrate knowledge of AI, or experience and ability to apply Generative AI tools in their work, will be preferred.

Note:

Applicant may be considered for other positions if not matching the requirements of the subject position.
This is a fixed-term contract position for a period of 24 months subject to renewal.

What we offer and What you'll like here:

Exciting new technology development (e.g. IoT, 5G, LoRA, AI etc.) to actualize your creative ideas
Opportunities to work with our innovative and vibrant talents
Dynamic and energetic culture with smart outfits & sport shoes
Academic training scholarship to take your career up a notch
Dental benefit
Medical benefits from Day-1 with extended coverage to dependent(s)

Apply now if you're ready to take the challenge! Do not miss this opportunity to join us to Create Value and MAKE SMART SMARTER!

HKPC will take into consideration both the quantitative and qualitative requirements of the post when selecting the suitable candidates. A competitive salary package commensurate with academic qualifications and experience will be offered. The successful candidate will be employed on a fixed-term contract basis, which is renewable subject to appointee's performance and the Council's development needs.

Applicants are welcome tosubmit applicationat the HKPC e-Recruitment System (careers.hkpc.org) in 1weekfrom the posting date. Recruitment will continue until the position is filled.

Applicants not invited for interviews within 6 weeks may consider their applications unsuccessful. All information provided by applicants will be treated with strict confidence and used solely for recruitment purposes. The personal data of unsuccessful applicants will be retained for 12 months from the date the recruitment process is completed.

Consultant, AI for Materials and Manufacturing