Postdoctoral Fellow in Pattern Mining, Recommender Systems or NLP

Moscow, Russia

Laboratory of Models and Methods of Computational Pragmatics in Moscow, Russia, invites applications for postdoctoral research positions in the field of Pattern Mining (including Formal Concept Analysis and its applications), Recommender Systems (RecSys) or Natural Language Processing (NLP).

Requirements

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

• Candidates must hold a recent PhD in the field of Computer Science 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 Computer Science or Applied Mathematics, ability to work in (small) teams, conduct research in the fields of Data Mining including Graph Mining, Machine Learning or NLP, work with Python libraries popular in the field (scikit-learn, TensorFlow [also PyTorch or Keras], BigARTM, Apache Spark, etc.) and/or work with specific programs for Data Mining and FCA like SPMF or ConExp. A good knowledge and desire to work with Formal Concept Analysis (FCA, also known as Concept or Galois Lattices), Combinatorial Search and Optimization is also welcome. Ability to develop your own algorithms and with HPC and BigData technologies would be a plus.
• Fluent English is an obligatory condition as research and other activities are conducted in English. Knowledge of Russian is not required;
• Relevant experience will be an asset although not required. 

The position involves:
●      working under the direct supervision of Dr. Dmitry Ignatov or other senior colleagues in the laboratory;
●      participants are encouraged to pursue their own research along with working on MMCP research projects such as:
        - Multimodal Clustering for NLP, Knowledge Discovery in Databases and Recommender Systems
             ▪ Word-sense induction (including triframes and triclustering)
             ▪ Biclustering and its applications (including Bioinformatics)
        - Machine Learning on Graphs (including graph embeddings)
        - Benchmarking Deep Learning and Neural Architecture Search for NLP
        - Sparsification and Compression of Deep Learning models
        - Interpretable and Fair Machine Learning and Recommender Systems[1]
        - Combinatorial Search and Optimization with Formal Concept Analysis
             ▪ E.g., https://oeis.org/draft/A348260
        - Boolean Matrix Factorization and its Applications (including RecSys) 
        - Bioinformatics and medicine
             ▪ Genome-wide association studies for Ischemic Stroke disease (in collaboration with our collaborators from IMG RAS)
             ▪ An intelligent assistant for dermatologists
             ▪ Genome-wide population studies
        - Sequence, Stream and Graph Mining and their applications
             ▪ Demographic sequence mining and visualization (https://social.hse.ru/pg/visualdem/)
        - Experimental Economics and Machine Learning (https://eeml.hse.ru)
●      writing research papers for international peer-reviewed journals in co-authorship with the members of the MMCP Lab;
●      participation in the events of the MMCP Lab and other contribution to the MMCP Lab’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 MMCP Lab offers access to HPC resources granted to the laboratory.

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 MMCP lab– official web-site of the MMCP or contact dignatov@hse.ru directly;
• about international specialists' life in Moscow -International Faculty Support .

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

[1] Including XAI (eXplainable AI)