PhD student position: Graph Convolutional Neural Networks in computational enzyme engineeringForschungszentrum Jülich • Institute for Bio- and Geosciences (IBG-4: Bioinformatics) • Jülich

Germany Universities

Germany

January 15, 2022

Description

Open Positions 1

Time Span 01 Mar 2022 for 3 years Application Deadline 15 Jan 2022 Financing yes Type of Position

  • PhD - Individual Supervisor
  • PhD - Doctoral Programme
  • Field of Research

  • Mathematics / Natural Sciences
  • Subjects Bioinformatics & Machine Learning Description Data is the new resource of the 21st century, and data availability seems endless. Would you like to establish part of the data relationship lifecycle for plant science? Then the Institute of Bioinformatics at Research Centre Juelich is the right place for you. The newly founded Institute of Bioinformatics (IBG-4) at the Institute of Bio- and Geosciences works on and develops methods and algorithms to understand, predict, and modulate molecular recognition involving biomolecules from an atomistic perspective. The team focuses on structural and molecular bioinformatics, data integration, computational enzyme engineering, computational next-generation catalysis, and computational biophysical chemistry. At Helmholtz School for Data Science in Life, Earth and Energy (HDS-LEE), we aim to educate and train the next generation of data scientists during their doctoral thesis in close contact to domain-specific knowledge and research in three application domains: Life and medical science, earth science, energy systems, and material science. Visit HDS-LEE at: https: // www. hds-lee.de/

    We are offering a PhD Position - Graph Convolutional Neural Networks in computational enzyme engineering

    Your Job: • Development and parameterization of machine learning models to guide enzyme engineering • Iterative application of the machine learning models in cycles of predictions/experiments (together with collaboration partners)/re-training to increase performance and address additive and cooperative effects • Publication and presentation of the results on (inter)national conferences and in scientific journals

    Your Profile: • Development and parameterization of machine learning models to guide enzyme engineering. • Iterative application of the machine learning models in cycles of predictions/experiments (together with collaboration partners)/re-training to increase performance and address additive and cooperative effects. • Publication and presentation of the results on (inter)national conferences and in scientific journals. • Development and parameterization of machine learning models to guide enzyme engineering. • Very good command of the English language (TOEFL or equivalent evidence) • A high level of scholarship as indicated, for example, by bachelor and master study transcripts and two reference letters

    Our Offer: We work on the very latest issues that impact our society and are offering you the chance to actively help in shaping the change! The HDS-LEE PhD position will be located at Forschungszentrum Jülich. We offer ideal conditions for you to complete your doctoral degree: • Outstanding scientific and technical infrastructure • A highly motivated group as well as an international and interdisciplinary working environment at one of Europe's largest research establishments • Continuous scientific mentoring by your scientific advisors • Chance of participating in (international) conferences • Unique HDS-LEE graduate school program • A qualification that is highly welcome in the industry • Further development of your personal strengths, e.g. via a comprehensive further training program; a structured program of continuing education and networking opportunities specifically for doctoral researchers via JuDocS, the Jülich Center for Doctoral Researchers and Supervisors: https: // www. fz- juelich.de/judocs • Targeted services for international employees, e.g. through our International Advisory Service

    The position is initially for a fixed term of 3 years. Pay in line with 100% of pay group 13 of the Collective Agreement for the Public Service (TVöD- Bund) and additionally 60 % of a monthly salary as special payment („Christmas bonus“). Further information on doctoral degrees at Forschungszentrum Jülich including our other locations is available at: https: // www. fz-juelich.de/gp/CareersDocs

    Detailed information about living and working in Jülich is provided here: https:// www. fz- juelich.de/portal/EN/Careers/JuelichAsAnEmployer/OutAndAboutInJuelich/ node.html

    Applicants should upload their applications (a one-page motivation letter on why they are interested in the respective project and how they can contribute to the success of the project, a current CV and the contact details of three references) via our online application system.

    Forschungszentrum Jülich promotes equal opportunities and diversity in its employment relations. We also welcome applications from disabled persons.

    The job will be advertised until the position has been successfully filled. You should therefore submit your application as soon as possible. We look forward to receiving your application via our Online-Recruitment-System: https: // www. fz- juelich.de/portal/EN/Careers/application/node.html?cmshrelinkid=OnX64nUGNoWMnoDz&cmslang=en

    Questions about the vacancy? Get in touch with us by using our contact form: https: // www. fz- juelich.de/portal/EN/Careers/JobKontakt/node.html?cmsjobid=2021D-118

    Please note that for technical reasons we cannot accept applications via email.

    Working Language

  • English
  • German
  • Language of Dissertation

  • English
  • German
  • Required Documents

  • CV
  • Letter of Motivation
  • Others : Contact data of three references
  • More Information https: // www. fz- juelich.de/SharedDocs/Stellenangebote/common/dna/2021D-118-EN- IBG-4.html?nn=722008

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