As part of the conducted procedure, the Competition Committee recommended the candidacy of Dr Maciej Jasiński, Dr Krzysztof Szczepaniak, Dr Antonio Marinho for the post of Postdoctoral Researcher.
Description:
Title of the position: Postdoc
Scientific discipline: Bioinformatics
Job type: Contract
Number of job offers: 1
Stipend amount/month: Gross = 14,000 PLN / month (Expected net = 8,000 pLN / month)
Position starts on: 01.03.2019
Maximum period of contract agreement: 35
Institution: Laboratory of Structural Bioinformatics; https://lbs.cent.uw.edu.pl
Project leader: Dr. Stanisław Dunin-Horkawicz
Project title: An evolutionary-based approach to design the substrate specificity of the Rossmann fold enzymes
Project description: The goal of the project is to infer a detailed evolutionary history of the Rossmann fold, which is one of the most prominent protein folds and by far the most functionally diverse one, with >300 different functions. To this end, we will perform a comprehensive bioinformatics analysis, with the aim of integrating data from different sources to obtain a reliable phylogenetic tree that encompasses all the major Rossmann enzymes classes. Unraveling the natural history of the Rossmann enzymes will open the possibility (i) to reveal the principles that governed the divergence of cofactor specificity of Rossmann enzymes, (ii) use these principles to rationally re-engineer cofactor specificity in Rossmann enzymes, and (iii) to identify the rudimentary Rossmann fold, and thereby design a functional minimal Rossman. The proposed project involves experimental validations, including structure determination of natural and re-engineered proteins together with the cofactors. The project includes collaboration with two partners: (i) Core Facility for Crystallography and Biophysics, University of Warsaw (Poland) and (ii) Department of Biomolecular Sciences, Weizmann Institute of Science (Israel).
Key responsibilities include:
1. Implementation of an efficient computational pipeline for the identification, classification, and storage of protein sequence and structural data
2. Implementation of a procedure for the incorporation of protein design methods and coevolutionary analysis into the phylogenetic reconstruction
3. Performing phylogenetic reconstructions and preparing data suitable for Machine Learning
Profile of candidates/requirements:
1. PhD degree in bioinformatics, biology, biochemistry, biophysics or related discipline (obtained no more than 5 years ago)
2. Extensive experience in Python programming. Good knowledge of libraries such as sci-kit, numpy, pandas, biopython. Experience with high-performance computing and Linux environment
3. Experience related to some of the following: protein sequence and structure analysis, protein design, molecular dynamics, machine learning, phylogenetic analysis, ancestral sequence reconstruction
4. Strong publication record in peer-reviewed journals
5. Good writing and oral communication skills in English, and competence in scientific writing. Knowledge of Polish is not a requirement.
Required documents:
1. Curriculum vitae, including a list of publications and a cover letter
2. Up to three letters of recommendation
3. A copy of PhD diploma
We offer:
1. An opportunity to participate in a multidisciplinary project conducted in a collaboration with scientists from the University of Warsaw and Weizmann Institute of Science
2. Access to the high-end computing equipment (CPU and GPU clusters)
3. Work in a young research team well-networked with international partners (Germany, Israel)
4. Competitive salary
Please submit the following documents to: s.dunin-horkawicz@cent.uw.edu.pl
To allow us to process your data, please include the following statement in your application:
“I hereby consent to have my personal data processed by the University of Warsaw with its registered office at ul. Krakowskie Przedmieście 26/28, 00-927 Warszawa for the purpose of carrying out a recruitment process and selecting an employee and concluding a contract for employment at the University of Warsaw. I have been informed of my rights and duties. I understand that provision of my personal data is voluntary.”
In accordance with Article 13 of REGULATION (EU) 2016/679 OF THE EUROPEAN PARLIAMENT AND OF THE COUNCIL of 27 April 2016 on the protection of natural persons with regard to the processing of personal data and on the free movement of such data – general regulation on data protection (Official Journal of the EU L 119/1 of 4 May 2016) the University of Warsaw informs that:
- The administrator of your personal data is the University of Warsaw with its registered office at Krakowskie Przedmieście 26/28, 00-927 Warszawa, e-mail: iod@adm.uw.edu.pl;
- The Administrator has designated the Data Protection Officer who supervises the processing of personal data, and who can be contacted via the following e-mail address: iod@adm.uw.edu.pl;
- Your personal data will be processed for the purpose of carrying out a recruitment process and selecting an employee and concluding a contract for employment at the University of Warsaw;
- The provided data will be processed pursuant to Article 22(1) § 1 of the Act of 26 June 1974 Labour Code (uniformed text: Dz.U. of 2018, item 917) and your consent for processing of personal data;
- Provision of data in the scope stipulated in the Labour Code is mandatory (this is: name(s) and surname, parents’ first names, date of birth, address of residence, correspondence address, education, previous employment);
- The remaining data are processed according to your consent for processing of personal data;
- The data will not be shared with any external entities, except for the cases provided for by law;
- The data will be stored until you withdraw your consent for processing of personal data;
- You have the right to access your personal data, rectify, erase, restrict its processing and to withdraw the consent at any time – the withdrawal of consent to processing data should be done in written form, acceptably by e-mail sent to hr@cent.uw.edu.pl;
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- The name of the selected candidate/s will be made public on the CeNT UW website in accordance with the requirements of the funding agency.
Deadline: 18/01/2019
Tags: Bioinformatics, machine learning, phylogeny, protein evolution, protein re-engineering
