Research Assistant Position in Artificial

hace 2 semanas


San Sebastián, Guipúzcoa, España Somm Excellence Alliance A tiempo completo
The role


The main goal of this PhD project is to use and develop machine learning algorithms to look for novel low-dimensional quantum materials, for their use in nanophotonics and optoelectronics.

Within this project, we aim to incorporate AI to search for novel materials (e.g. by enriching van der Waals crystals with additional atoms) which can support polaritons -hybrid light-matter oscillations
- with some unusual and specific properties. By converting light into ultra-confined polaritons, one can introduce new concepts for the manipulation of light on the nanoscale and improve the performance of existing nanoscale optoelectronic devices.

Specifically, during the PhD project, the PhD student will address several objectives (incorporating machine learning algorithms to all of them):

Design of low-dimensional quantum materials on the atomic level, basing on the density function theory (DFT).

Design of nanostructures (nanoengineering) made of novel quantum materials with predetermined optical properties.

Modelling of optical phenomena on the nanoscale, such as anomalous reflection and refraction of light, nanofocusing, canalization etc.

Desired background & competences

Duties

Analysis of the literature in the field of research

Planning of research work, participation in the formulation of research questions

Analytical calculations, numerical simulations, and data analysis

Writing scientific articles and preparation of conference presentations

Active participation in group meetings and presentation of well-documented results

Requirements:

Successful studies in condensed matter physics

Being familiar with electronic structure of solids, and particularly with lattice vibrations

Being familiar with electromagnetic phenomena and propagation of waves

Skilled in academic writing

Capable to express ideas and results in a clear and structured manner

Capable of preparing clear and concise summaries of ongoing work

Be able to document the workflow in a way that is searchable and easy to understand for other group members

Excellent command of English

Meriting skills include knowledge in:
Density Function Theory

Machine Learning

Nanooptics/Photonics

Programming and data analysis (e.g. Python, Matlab, Wolfram Language etc.)

Working conditions

Estimated annual gross salary:
Salary is commensurate with qualifications and consistent with our pay scales

Target start date: 01/10/2023

We provide a highly stimulating research environment, and unique professional career development opportunities.


We offer and promote a diverse and inclusive environment and welcomes applicants regardless of age, disability, gender, nationality, ethnicity, religion, sexual orientation or gender identity.

The center


DIPC is a research center whose mission is to perform and catalyze cutting-edge research in physics and related disciplines, as well as to convey scientific culture to society.

Located in Donostia / San Sebastian (Basque Country, Spain), DIPC was born from a strategic alliance of both public institutions and private companies.

Since 2008 DIPC is a 'Basque Excellence Research Center' (BERC) recognized by the Basque Government's Department of Education. In 2019, DIPC was also recognized as a "Severo Ochoa" Excellence Center by the Spanish Research Agency.

About the team

How to apply

CV (1 page)

Copies of degree certificates and grades. Please indicate in percent the average grade for bachelor and master studies.

Master thesis (or a draft thereof)

Contact details of two references

Other documents that the applicant wishes to refer to.

Reference: 2023/89

Application deadline: 24/09/2023

Selection process

Applications received by the deadline will be evaluated by a Committee designed by the DIPC board on the basis of the following criteria:
Reference letters (10%)

Other:
Diversity in gender, race, nationality, etc. (10%)

Deadline:
September 24, 2023

Job category:
PhD Student

Area:
Maths, Experimental Sciences and Engineering

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