Research Collaborator – Disorder, superconductivity and topological order

Somma; Donostia/San Sebastián; On-site; EUR 35,000 - 50,000; Full time

Benefits offered by this job

Funding for travel to conferences and scientific meetings

Job summary

Somma is seeking a motivated postdoctoral researcher to join their team at the Donostia International Physics Center (DIPC). This unique opportunity involves researching the interplay between disorder, topology, and superconductivity.

The ideal candidate will have a recent PhD in Physics and experience in transport calculations, tensor network methods, and machine learning approaches to quantum systems. Travel funding for conferences is also provided.

Qualifications

• Experience or strong interest in transport calculations.
• Knowledge of tensor network methods for topological phases.
• Familiarity with machine learning approaches in quantum matter.

Responsibilities

• Research the interplay between disorder and many-body topological order.
• Investigate topology and superconductivity in non-crystalline systems.

Skills

Transport calculations and simulations

Tensor network methods

Machine learning

Nonlinear optical responses

Quantum information

Education

PhD in Physics or related fields

Job description

We are currently accepting applications for the above mentioned position. This is a unique opportunity for junior researchers with a recent PhD degree in Physics or related fields to join one of DIPC’s high-profile research teams.

The role

We are seeking a motivated postdoctoral researcher to join the group of Adolfo G. Grushin at the Donostia International Physics Center (DIPC) to work on the theory of the interplay between disorder, topology, and superconductivity. The position focuses on interconnected research directions:

• the fate of topology and superconductivity in non-crystalline (amorphous, quasicrystalline, moiré) systems, and their possible experimental detection through transport and optical responses
• the interplay between disorder and many-body topological order, including fractionalization, anyonic excitations, and topological entanglement in disordered settings

The position includes funding for travel to conferences and scientific meetings.

Desired background & competences

Candidates with experience or strong interest in any of the methods applied to the topics in the description are welcome, with special emphasis on:

• transport calculations and simulations
• tensor network methods for topologically ordered phases
• machine learning and neural network approaches to quantum matter
• nonlinear optical responses as probes of topology
• quantum information perspectives on topological phases

The addition of novel methodologies and research directions to the group is particularly encouraged.