Postdoctoral Fellow in Deep Learning and Bayesian Methods

Centre of Deep Learning and Bayesian Methods, Moscow, Russia

Centre of Deep Learning and Bayesian Methods in Moscow, Russia, invites applications for postdoctoral research positions in the field of deep learning and Bayesian methods.

Requirements

The general requirements for the postdoctoral fellowship positions are the following:

●      Candidates must hold a recent PhD in the field of computer science and mathematics or related areas which was awarded over the last 5 years or received before starting work at HSE in a relevant field by an internationally recognized university and has been assessed by external reviewers as having the potential to pursue research that is publishable in leading peer-reviewed journals;

●      Candidates should have a strong background in deep learning, probabilistic modeling, optimization, generative models, or a closely related field, ability to work independently and collaboratively on cutting-edge research problems. Familiarity with programming languages such as Python, frameworks like PyTorch or Jax, and Bayesian methods would be highly desirable.

●       Fluent English is an obligatory condition as research and other activities are conducted in English. Knowledge of Russian is not required;

●      Relevant experience such as publishing in top-tier conferences and journals, contributing to large-scale research projects, or mentoring students will be an asset although not required.

The position involves:

●      working under the direct supervision of Aibek Alanov;

●      participants are encouraged to pursue their own research along with working on Centre of Deep Learning and Bayesian Methods research projects such as:

o  Efficient parameterizations for generative models, including GANs and diffusion models;

o  Novel approaches to Bayesian deep learning and uncertainty quantification;

o  Speech enhancement and neural vocoding (e.g., HiFi++, FFC-SE);

o  Development of controllable generative AI systems;

o  Research on acceleration methods for diffusion models.

●      writing research papers for international peer-reviewed journals in co-authorship with the members of the Centre;

●      participation in the events of the Centre of Deep Learning and Bayesian Methods and other contribution to the Centre’s development;

●      public presentations of candidate’s own research to the academic community;

●      some teaching is encouraged, though not required.

Conditions

Appointments are made for one year. Postdoctoral fellows have high opportunity of renewal of the contract (no more than two times) in case of outstanding performance.

HSE University offers postdoctoral fellows a competitive salary, the standard medical insurance plan; a working space equipped with a computer and free Internet access at the University.

The Centre of Deep Learning and Bayesian Methods offers access to its cHARISMa HPC Cluster for high-performance computing needs, opportunities for collaboration with world-class researchers, and participation in international conferences.

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 hiringCentre of Deep Learning and Bayesian Methods may not be reviewed.

Read more about the application process here.

The deadline for the applications is February 9, 2025

Apply now

For more information:

-         about Postdoctoral Fellowship -Frequently Asked Questions

-         about HSE university –official web-site

-         about the Centre of Deep Learning and Bayesian Methods – official web-site orAibek Alanov contact directly

-         about international specialists' life in Moscow -International Faculty Support page

If you have any additional questions, feel free to contact the International Faculty Recruitment Office at fellowship@hse.ru