Postdoctoral Researcher / Research Scientist Materials Science and Engineering and Applied Physics

King Abdullah University of Science and Technology; Thuwal; On-site; SAR 120,000 - 180,000; Full time

Benefits offered by this job

Relocation support

Access to KAUST facilities

Collaborative research environment

Job summary

KAUST's OmegaLab invites applications for a postdoctoral researcher focused on doped conjugated polymers and organic electronic materials. The role emphasizes connecting processing, microstructure, and electrical performance within a collaborative experimental setting.

Applicants should hold a PhD in materials science, chemistry, physics, or a related field, with hands-on skills in thin-film processing, molecular doping, and GIWAXS/Raman/FTIR/UV-Vis characterization, ready to contribute to

Qualifications

• PhD in Materials Science, Chemistry, Physics, Chemical Engineering, or related field.
• Hands-on experience with organic semiconductors, polymer thin films, or related functional materials.
• Ability to work independently in the lab and interprete datasets.

Responsibilities

• Doping of conjugated polymers and organic semiconductor thin films.
• Thin-film fabrication, processing optimization, and troubleshooting.
• Materials characterization using GIWAXS, Raman, FTIR, UV-vis, and electrical measurements.
• Explore structure-property relationships and contribute to organic electronics projects.

Skills

Thin-film processing

Molecular doping

Materials characterization

Data analysis with Python

Collaborative research

Education

PhD in Materials Science, Chemistry, Physics or related field

Tools

GIWAXS

Raman Spectroscopy

FTIR

UV-Vis

Electrical transport measurements

Job description

King Abdullah University of Science and Technology: Postdoc Positions: Physical Science and Engineering Division (postdoc): Material Science and Engineering (postdoc)

Location

King Abdullah University of Science and Technology (KAUST)

Open Date

Sep 08, 2026

Description

Are you passionate about organic electronic materials and doped conjugated polymers, and how they connect processing, microstructure, and electrical performance?

Prof. Derya Baran ’s research group OmegaLab at KAUST is looking for a researcher to help drive projects on doped conjugated polymers and organic electronic materials. The main need is a strong materials-science or applied physics profile with hands-on experience in thin-film processing, molecular doping, and advanced characterization. We are looking for someone who can connect processing, microstructure, spectroscopy, and electrical performance, and who is comfortable working in a collaborative experimental environment.

We are especially interested in candidates who can contribute to the following:

• Doping of conjugated polymers and other organic semiconductor thin films
• Thin-film fabrication, processing optimization, and experimental troubleshooting
• Materials characterization using techniques such as GIWAXS, Raman, FTIR, UV-vis, and electrical transport measurements
• Understanding structure-property relationships in functional polymer materials
• Contributing to collaborative projects in organic electronics, energy-harvesting materials, and related device platforms

Qualifications

We are especially interested in candidates with a PhD in Materials Science, Chemistry, Physics, Chemical Engineering, or a related field, and with a solid experimental background in organic semiconductors, polymer thin films, or closely related functional materials. The right person should be able to work independently in the lab, interpret complex datasets critically, and communicate clearly with students and collaborators.

Strong candidates may bring experience in one or more of the following areas:

• Molecular doping of organic semiconductors
• Thermoelectrics, OFETs, OPVs, or related organic electronic devices
• Correlative characterization across structural, spectroscopic, and transport techniques
• Stability studies, stress testing, and degradation analysis in thin films
• Mentoring students and contributing to shared experimental workflows

Experience in Python or similar tools for data analysis, visualization, and automation would be an advantage, especially for handling large experimental datasets and improving reproducibility.