Postdoctoral Fellow in Data and Material Science

Moscow, Russia

Laboratory of Methods for Big Data Analysis (LAMBDA) at HSE University Moscow, Russia, invites applications for postdoctoral research positions in machine learning and data analysis methods to address challenges of data processing in natural sciences with a focus on particle physics, astrophysics, and material science.

Essential requirements

●      Candidates must hold a recent PhD in the field of Computer Science, Applied Mathematics, Physics or related areas awarded over the last 5 years by an internationally recognized university;
●      Candidates are expected to have a verifiable background (3+ years of experience) in material science, algorithm design, mathematical methods, data analysis, ability to learn new concepts/approaches, work in a team, conduct research;
●      Fluent English as research and other activities are conducted in English. Knowledge of Russian is not required;

Desirable qualities

●      Fluency with Python, deep learning frameworks (PyTorch, TensorFlow), DevOps e.g., git, CI;
●      Familiarity with black-box optimization techniques, generative model design, automated hypothesis checking;
●      Fluency with material properties simulation packages like VASP, GPAW, LAMPS;
●      Physics background is a plus.

The position involves:
●      The successful candidate will be given an opportunity to pursue research along the lines of LAMBDA research topics, including:
o  Physics-informed data-driven algorithm design;
o  A generative model for forward and inverse problem solution for material design;
o  Advanced methods for solving inverse problems for material design;
o  Probabilistic programming for simulation-based inference.
●      Work in close collaboration with profound research teams from Singapore (NUS), Switzerland (UNIGE, EPFL), UK (Manchester, ICL);
●      Publication research papers for international peer-reviewed journals;
●      Participation in educational and outreach events of the Lab and other contributions to the Lab’s development;
●      Teaching, which is encouraged, though not required.

Conditions

Appointments are initially made for one year with a possibility to extend up to 3 years, conditioned by the research performance.

HSE University offers postdoctoral fellows a competitive salary, a medical insurance plan for a successful candidate, and close family members. Also, HSE facilitates rapid professional growth by supporting conference participation, scientific promotion, and access to a breadth of talented, motivated students. Computational facilities include access to the HSE supercomputer and cloud resources. HSE campus is located at the historical Moscow center, rich with cultural attractions and social events.

Application Process

Applications must be submitted online. Please provide a CV, a statement of research interest and a recent research paper submitted via the online application form. At least two letters of recommendation should be sent directly to the International Faculty Recruitment Office at fellowship@hse.ru before the application deadline. Please note that direct applications to the hiring laboratory may not be reviewed.

Read more about the application process here.

The deadline for the applications is January 31, 2022.

Apply now

For more information:

• about Postdoctoral Fellowship -Frequently Asked Questions;
• about HSE university –official web-site;
• about the LAMBDA– official web-site of the Laboratory or contact ntalaikova@hse.ru directly;
• about international specialists' life in Moscow -International Faculty Support .