As a part of the NRF Fellowship Project on Materials-by-Design, we are looking to hire a Senior Research Engineer with a strong background in high-throughput synthesis, phase control of nanostructures and structural characterization.
This position will build upon our team’s experience toward developing high-throughput experimental platforms for synthesis, characterization and functional performance testing (thermoelectric performance, catalytic performance) of a library of materials. The applicant will focus on synthesizing and characterizing inorganic materials, specifically inorganic chalcogenides for thermoelectrics and metal alloy catalysts for CO2 reduction. Additionally, the candidate will conduct in-depth structural and elemental characterization and analysis of the materials using XRD, SEM-EDX and XPS. Finally, thermoelectric measurements experiments will be conducted. The candidate should be able to utilize design-of-experiments and high-throughput experimental workflows. In addition, materials science and metallurgical concepts such as phase diagrams, mapping and separating different phases and oxidation states of compounds and rapid structural analysis are required. Finally, machine learning will be applied to guide experimental campaigns. Knowledge of Bayesian Optimization is desirable. We require a person with a can-do attitude in a fast-paced research environment.
Key Responsibilities:
- Conduct synthesis of inorganic thermoelectric materials using various high-throughput synthesis techniques and high-throughput synthesis of materials for CO2 reduction
- Develop new high-throughput methods, and accordingly modify hardware for their execution
- Perform in-depth characterization of synthesized materials using XRD, SEM, and EDS
- Deploy machine learning techniques to guide future experimental campaigns
- Demonstrate a can-do attitude in a fast-paced research environment
Job Requirements:
- PhD in Materials Science, Chemistry, Physics, Applied Physics, Electrical Engineering or Mechanical Engineering with research experience in synthesis and lab skills
- Experience in inorganic synthesis of nanomaterials and solid-state compounds.
- Experience in advanced analysis of X-ray diffraction e.g. through Rietveld refinement is desired
- Familiar with Bayesian Optimization for regression methods (Gradient Boosting, Random Forest)
- Ability to work in a team with clear communication skills and to develop own ideas in 1-2 years' time.
We regret that only shortlisted candidates will be notified.
