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.
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.
What are you going to do?
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.
What do we require?
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.
The employment contract will be for an initial period of 18 months, with an intermediate evaluation after 18 months with a possibility to extend it for 30 months (in total four years). End-result should be a PhD thesis. An educational plan will be drafted that includes attendance of courses and (international) conferences.
The gross monthly salary will range from €2,434 in the first year to €3,111 in the last year. The Collective Labour Agreement (CAO) for Dutch Universities is applicable.
What else do we offer
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.
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.
Find more information about Economics and Business on uva.nl/eb.
Find more information about the Amsterdam Business School on abs.uva.nl.
Find more information about the Amsterdam School of Economics on ase.uva.nl.
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.
To work at the University of Amsterdam is to work in a discerning, independent, creative, innovative and international climate characterized by an open atmosphere and a genuine engagement with the city of Amsterdam and society. Here you can read more about working at the University of Amsterdam and uva.nl/working-at-eb.
The project team consists of dr. Monika Kackovic (ABS), dr. Stevan Rudinac (ABS), Prof.dr. Nachoem Wijnberg (ABS) and Prof.dr. Marcel Worring (IvI).
For further information, please contact:
dr. Monika Kackovic (firstname.lastname@example.org)
dr. Stevan Rudinac (email@example.com)
Do you recognize yourself in the job profile? Then we look forward to receiving your application by 20 February 2022. You may apply online by using the link below.
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.
The UvA is an equal-opportunity employer. We prioritize diversity and are committed to creating an inclusive environment for everyone. We value a spirit of enquiry and perseverance, provide the space to keep asking questions, and promote a culture of curiosity and creativity.