5 PhD positions available in MSCA DN-JD SENNET Project (# of pos: 5)

RR2 (Ghent University, BE): Characterisation of adsorption and dielectric and refractive index response of MOFs and zeolites

- Computational scientist with a good background in atomistic molecular simulations, quantum mechanics, statistical physics and thermodynamics applied to material science.

- Experience with molecular simulation software (LAMMPS, DLPOLY, RASPA, Gaussian, VASP, CP2K) and coding (Python, C) is an advantage.

- Excellent communication skills and a strong motivation to collaborate with other researchers, within the CMM, the SENNET consortium and our networks.

- Master’s degree of a university In the field of Chemistry, Chemical Engineering, Physics, Physical Engineering or a related field

RR5 (VUB, BE): A dynamic method for measuring multicomponent adsorption equilibria at ultra-low concentration

- Master degree in chemical engineering, bio-engineering sciences, chemistry, or a related field

- Excellent  knowledge in physical chemistry, mass and heat transfer and thermodynamics

- Interest in data analysis and computer modelling

- Good experimental skills

- Excellent communication skills and a strong motivation to collaborate with other researchers

RR6 (FAU, DE): Targeted characterization and adsorption properties of MOF and zeolitic adsorbents for gas sensing

- Master degree in chemical engineering, chemistry, materials science or a related field

- Excellent knowledge in physical chemistry is expected

- Excellent communication skills and a strong motivation to collaborate with other researchers

RR8 (TUM, MD): Evaluation of sensitivity, selectivity and stability of MOF- and zeolite-functionalized resistive sensors, sensor arrays, and pre-concentrators for the detection of VOCs mixtures

- Background in Applied Physics: Physics and technology of materials; Physics of nanosystems and nanotechnology or a background as a Solid State Electronics engineer: nano-microelectronics and optoelectronics; technology and components in electronics; solid state electronics; biomedical equipment and devices

RR9 (KU Leuven, BE): Coupled MEMS resonant sensors exploiting the mode-localization effect for the detection of VOCs

- Background and Master degree in micro- and nanosystems, electrical or mechanical engineering, applied physics, material science or a related discipline. Experience in micro-fabrication and working in a cleanroom