Data Scientistin - München, Deutschland - ifo Institut – Leibniz-Institut für Wirtschaftsforschung an der Universität München e. V.

    ifo Institut – Leibniz-Institut für Wirtschaftsforschung an der Universität München e. V.
    ifo Institut – Leibniz-Institut für Wirtschaftsforschung an der Universität München e. V. München, Deutschland

    vor 1 Monat

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    Beschreibung

    To strengthen our growing ifo-wide team working on "Big Data Economics", we are looking for a Data Scientist at the postdoc level for up to six years, starting in June 2024 or at the earliest possible.

    She/he will contribute to ifo's main research topics with his/her independent research applying a combination of state-of-the-art machine learning and causal inference methods to innovative and unconventional data from various sources and of various types (firm, text, images, administrative, etc.) answering policy relevant economic questions.

    Embedded into Munich's vibrant research environment, the ifo Institute strengthens its profile in the field of

    Big Data Economics:

    First, the research data center (EBDC) manages financial and personnel resources to offer and coordinate all necessary support (legal, IT, RDM, etc.) to the researchers including collaborating in research projects.

    Second, several junior research groups are installed to foster Big Data Economics within and across the ifo departments.

    Third, the CESifo research network has newly launched the research area "Economics of Digitization" and the Cluster "Economic Research with Firm Data" that aims at developing economic research with unconventional data from firms.

    Fourth, at the LMU colleagues from the department of economics, several newly established AI professorships, and a large group of data scientists at the statistics department contribute to the growing group of Big Data researchers.

    It involves initiating, conducting as well as guiding and supervising Big Data research projects with and of other ifo researchers, the junior research groups and external partners from academia and industry – with maximum support from ifo's infrastructure departments and ifo's executive board.

    A doctoral student and several research assistants provide support at the EBDC. Significant funding for data, legal/IT/methodological expertise is provided.
    We, the ifo Institute, are one of the leading economic research institutes in Europe.

    We work on issues relevant to economics and economic policy at the highest scientific level and with an international reach, and develop research-based recommendations for action for policymakers, business and society.

    Through our five fields of activity - research, promotion of young researchers, policy advice, participation in public debates and information/service - we contribute to maintaining and increasing sustainable economic prosperity and social participation under constantly changing conditions.

    Do you want to know more about us and your career opportunities? A PhD in economics, statistics, or related fields
    R, Python, SQL)
    Experience with large datasets and data bases
    Experience using HPC and cloud computing services such as GCP, AWS, Azure, etc
    Experience supervising research/student assistants, interns or predocs
    With excellent English language skills, both written and spoken, you are able to interact confidently in the international network of researchers
    Knowledge of the German language is an advantage
    You are a team player and like to take responsibility for yourself and others
    collaboration in highly-motivated research teams and with interesting industry partners on relevant economic questions
    participation in highly innovative research projects
    using and developing cutting edge methodology and infrastructure for working with large data sets from firms, platforms etc
    to adapt machine learning and causal inference techniques
    developing expertise in managing large-scale empirical projects with several partners
    to work in a well-equipped research environment and actively shape it further
    to conduct scientific workshops and get in touch with renowned international scholars through the CESifo research network
    developing a teaching profile for Data Science courses

    The ideal candidate is preparing for a permanent academic position, for example a tenuretrack or tenured professorship in the field "Applied Data Science".

    work on exciting questions in virtually all fields of economics
    contribute to the debate on economic and educational policy in line with our claim "Shaping the Economic Debate"
    are highly demanded on the national and international job market, both in academia and in industry, and achieve placements as full or associate professors at top universities
    are part of a team of about 111 economists
    are embedded in a vibrant economics community in Munich
    are part of the Department of Economics at LMU Munich
    can participate in the structured Junior Faculty Development Program and have the opportunity to teach at LMU Munich
    engage with international top-class economists within our CESifo network with more than 2,000 members from all over the world
    have access to an exceptional data infrastructure and other supporting services
    special annual payment) depending on publications and are part of the company pension scheme (VBL) (in addition to the statutory pension insurance)
    are supported in their professional and personal development with flexible working hours, the possibility of mobile work and many tailored training and development programs, and is equipped for this in the best possible, modern and comprehensive way
    will be supported with German courses if needed