Postdoc position in Machine Learning jobs, Denmark

    Postdoc position in Machine Learning jobs, Denmark

    Postdoc position in Machine Learning-Accelerated Modeling and Design of Functionalized 2D Materials, in the section for Computational Atomic-scale Materials Design (CAMD) at the Technical University of Denmark (DTU), Denmark


    Deadline to Apply

    June 20, 2021 (23: 59 GMT +1)


    Overview

    PositionPostdoc position
    No. of Position(s)1
    Research Area– Theoretical physics 
    – Theoretical chemistry
    – Computational physics
    – Computational chemistry
    SalaryAccording to standard norms
    WorkplaceSection for Computational Atomic-scale Materials Design (CAMD)
    Technical University of Denmark (DTU)
    Denmark
    Contract Period2 Years
    Starting dateSep 2021

    Qualifications

    Candidates should have a PhD degree or equivalent in theoretical/computational physics or chemistry. The successful postdoc candidate has a strong background in solid state physics and electronic structure calculations or in machine learning. The candidate should be proficient in Python programming. Good communication skills in both spoken and written English, are a requirement. Flexibility and self-motivation are desired skills. 

    Responsibilities/ Job Description

    The successful candidate will develop and apply ab initio-based computational methods to explore different functionalization strategies (e.g. defect engineering, (self-)intercalation, and layer stacking) for enhancing and controlling the fundamental properties of 2D materials.

    While the overarching theme of the Center is the exploration of specific 2D functionalization strategies, we have a broad and flexible focus when it comes to the employed methodologies (empirical models, DFT, many-body perturbation theory, machine-learning) the target properties (magnetic, topological, electronic, optical, chemical) and the potential technological applications (opto-electronic devices, electro-catalysis, quantum information). These areas will be covered by several interrelated PhD and post doc projects; the content and goal of this specific post doc project will depend on the interests and qualifications of the candidate.

    CAMD offers an international and scientifically stimulating working environment at the Department of Physics, DTU, located in the northern Copenhagen area. The group has strong connections to local experimental groups within the VILLUM Center for the Science of Sustainable Fuels and Chemicals and the Center for Nanostructured Graphene. Substantial computational resources are available for the project through the DTU-supercomputer facility Niflheim.   

    How to Apply?

    To apply, please open the link “Apply online”, fill out the online application form, and attach all your materials in English in one PDF file

    Documents Required

    • Application (cover letter)
    • CV
    • Academic Diplomas (MSc/PhD)
    • List of publications

    About the Department

    We carry out research in modern physics, especially in four main areas: sustainable energy, materials, quantum technology and biophysics. Our focus is both to acquire greater knowledge about basic scientific problems and to conduct research oriented towards use in societies and companies.

    Note

    • The appointment will be based on the collective agreement with the Danish Confederation of Professional Associations. The allowance will be agreed upon with the relevant union.
    • If you are applying from abroad, you may find useful information on working in Denmark and at DTU at DTU – Moving to Denmark.   

    Inquiries

    Professors Kristian S. Thygesen
    Email: thygesen@fysik.dtu.dk

    Official advertisement

    Postdoc in Machine Learning-Accelerated Modeling and Design of Functionalized 2D Materials

    Post expires at 8:59am on Monday June 21st, 2021 (GMT+9)