RR12: Data processing to optimize the fabrication of MOFs and zeolites sensor arrays
Project Title: Data processing to optimize the fabrication of MOFs and zeolites sensor arrays (WP1)
Host Institution: University of Barcelona
Supervisors: Prof. A. Gutierrez-Galvez (University of Barcelona); Secondary Supervisors: Prof. R. Ameloot (KUL), Dr. M. Van Poppel (VITO)
- Evaluating the different materials to be combined in a sensor array.
- Guiding the calibration of fabricated sensors by designing a set of experiments considering target gases as well as interfering compounds.
- Building calibration models for the final sensors and arrays of the project.
- Building data processing methods to improve the stability of the sensors response over time by counteracting sensor drift.
Short Description of Work & Expected Results:
- The selection of materials for sensor arrays will be performed via statistical and information theoretic methods that measure the complementarity of the array response to the target VOCs. A set of experiments will be designed to obtain a comprehensive response of the sensors and sensor arrays to combinations of target and common interfering gases at different mixtures.
- Host: KUL, Prof. R. Ameloot, Timing: year 3, Length: 6 months, Topic: MOF synthesis and sensor testing.
- Host: VITO, Dr. M. Van Poppel, Timing: year 3, Length: 2 months, Topic: Analysis of environmental sensing data with real-world settings
Enrolment in Doctoral degree(s): BARC & KUL
- We are looking for a highly motivated physicist/engineer with a master in data science and a good background in instrumentation.
- The candidate should have very good programming skills and proven experience in Python, R, or MATLAB.
- Proficient levels of spoken and written English are required
- Good group working skills are also needed for this position