Topic: scalability

Develop quantum-computing approaches to fluid dynamics. Investigate lattice-Boltzmann formulations, linearisation, sparse-Hamiltonian and quantum linear-systems methods, alongside hybrid classical–quantum approaches. Compare formulations for resource demand, numerical stability, scalability and practical implementation, and help shape the project’s scientific direction. Apply through the ETH online recruitment portal. The vacancy is currently advertised with an active application route; no closing date is stated.

A January–June 2027 process engineering placement developing targeted lipid nanoparticle formulations in Cambridge, Massachusetts. The work investigates mixing, filtration and tangential-flow filtration, and links process conditions to nanoparticle quality, stability and scalability. The student designs and executes experiments, analyses performance and works with analytical and process development colleagues on manufacturing challenges.