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UvA PhD Position in Computer science, Artificial intelligence, Mathematics, Data science

The Netherlands, University of Amsterdam (UvA)

The Amsterdam Business School (ABS) and the Informatics Institute (IvI) of the University of Amsterdam (UvA) are looking for a PhD candidate in an interdisciplinary ‘Innovation Genome’ project, at the cross-section of computer science and business.

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General Info

Position: PhD Position
No. of Positions: 1
Research Field: , , ,
Joining Date: ASAP
Contract Period: 1 Year 6 Months
Salary: 2,434 to 3,111 Euro/Month

Workplace:
Faculty of Economics and Business
Amsterdam Business School (ABS)
University of Amsterdam (UvA)
Amsterdam , The Netherlands

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Qualification Details

  • A Master’s degree in computer science, artificial intelligence, mathematics, data science or a closely related area.
  • A background in multimedia, computer vision, information retrieval, machine learning and information visualization.
  • Keen interest in testing management science theories with large-scale real-world data.
  • Excellent programming skills in one or more of the following languages: Python, C, C++.
  • Experience with deep learning libraries, such as PyTorch or TensorFlow.
  • Excellent communication skills in English, both oral and written.
  • Good teamwork skills.

Responsibilities/Job Description

  • Develop novel multimodal geometric deep learning and visual analytics approaches, informed by the relevant business theories;
  • actively collaborate with the researchers from Amsterdam Business School, Informatics Institute and Data Science Centre of the University of Amsterdam
  • present research findings at prestigious management science and computer science conferences and journals;
  • pursue and complete a PhD thesis within the appointed duration of four years;
  • assist in teaching activities, such as laptop labs and MSc thesis supervision.

How to Apply?

Online Application through "Apply Now" Button from this page


Reference Number: 7918
(If any, use it in the necessary place)

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Documents Required

Applications in .pdf should include:

  • a curriculum vitae;
  • a letter of motivation including a description of the candidate’s primary research interests and ambitions.

Shortlisted candidates will be invited for a job interview and may be asked to present their (thesis) research work. Shortlisted candidates may be asked to provide two reference letters.

About the Project

The focus of this project is gaining a fine-grained understanding of the role of influence relations in determining the likelihood of producing (successful) innovations. Not only understanding the features of successful innovations but also the complex flows of information, ideas, and practices surrounding such innovations is paramount to developing proactive approaches for intelligent solutions. We embrace this grand challenge by taking a two-tiered approach to investigating innovations vis-à-vis patterns of influence among individuals and within and across categories to (1) study the effects on competitive dynamics and socio-economic performance over time and (2) identify universal ‘secret ingredients’ successful innovations share. Using categorization as a fundamental theoretical lens, our goal is to analyze and map the so-called innovation genome in the cultural industries (visual arts) and science by extracting, modeling, and interactively visualizing complex traits (e.g., inventions) and patterns of influence.

We aim to develop multimodal geometric deep learning approaches, informed by state-of-the-art business theories, to model actors, innovations, and categories of interest into a joint semantic space. We adopt a visual analytics paradigm for studying the data, deploying our novel, interactive visualization, and interactive (human in the loop) learning tools together with advanced network analysis and time series modelling approaches.

The empirical domains we analyse are science and visual art, both offering large and accessible databases. For instance, publicly available databases of scholarly publications and patents, such as Scopus, Thomson Reuters, and Google Scholar, and large, domain-specific collections of multimedia data, such as WikiArt. These data are suitable to the aims of this project because they not only lend themselves very well to the tools of text, image, and metadata analysis but also are domains in which innovativeness is considered the prime determinant of success, and in which success - in terms of competitive performance - can be readily measured.

The PhD candidate will be employed by the Entrepreneurship & Innovation section of the ABS. The position is part of the University of Amsterdam Data Science Centre (DSC) Interdisciplinary PhD Program. The successful candidate will also spend one day a week working at the DSC, collaborating with a unique network of fellow PhD students, data scientists, engineers, and researchers from across the university.

About the Department

Education and research at UvA Economics and Business (EB) covers a wide range of fields that includes economics, data science, business administration, business analytics, accountancy, control, econometrics, finance and entrepreneurship. This is organised in 2 Schools: the Amsterdam Business School (ABS) and the Amsterdam School of Economics (ASE). Over 7,000 students are enrolled in our UvA Economics and Business programmes and around 500 employees provide education and support.

The Entrepreneurship and Innovation department is home to a group of 19 researchers, including junior (tenure track) and leading senior researchers as well as PhD candidates. We aim to be a hub of entrepreneurial spirit and thought leadership from where we further develop our research. Many faculty members foster strong ties with business and industry. Our main strengths are entrepreneurship, creative & cultural industries, and big data & innovation, together with our ties to the (cultural) capital of Amsterdam and our links with ACE incubator and Startup Village.

The mission of the Informatics Institute (IvI) is to perform curiosity-driven and use-inspired fundamental research and to train talent by high-quality academic education in diverse areas of informatics. Our research involves complex information systems focusing on collaborative, data driven, computational and intelligent systems in four research themes: Artificial Intelligence, Computational Science, Data Science, and Systems and Networking.

The University of Amsterdam Data Science Centre (DSC) mission is to enhance the university’s research and education by developing, sharing and applying data science methods and technologies. As a coordinating hub within the UvA Library, the centre is uniquely positioned to facilitate knowledge exchange as well as the training of skills related to digital and data-driven research and thus contributes to the innovation, diffusion and cross pollination of data science across the university.

About the Employer: University of Amsterdam (UvA)

Note or Other details

  • A function in which your own initiative and input is strongly valued.
  • an enthusiastic and warm team that is open to new colleagues.
  • an inspiring academic and international work environment at the center of Amsterdam.

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Contact details

For further information, please contact:

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