Vacature ph.d. Student

Ph.D. Research in Business Analytics in Information Systems

We are seeking highly motivated students with demonstrated academic ability, those who possess a commitment to interdisciplinary research on significant information technology and management issues, and those who desire to pursue an academic research career in this field. You will be part of the Business Information Management (BIM) section within the Department of Technology & Operations Management at the Rotterdam School of Management, Erasmus University.

Applicants must have strong quantitative training, with preference given to candidates who have earned an MSc, MPhil, or Research Master in economics, computer science, econometrics, statistics, or a related field. Successful candidates have proficiency with R, SQL, Python, or other programming languages.

As a Ph.D. student, you will gain the training and experience necessary to conduct independent research through coursework in information systems, economics, econometrics, machine learning, and large-scale data analytics. You will work closely with the advisors to define, develop, and execute your own research. The Ph.D. dissertation will be defined by the student with inputs from the advisors, and thus requires creativity, self-direction, and a passion for scientific inquiry.

Artificial intelligence, business analytics, information strategy, circular and digital platforms, energy informatics, data markets, AI and ethics, and economics of information systems

The advisors consist of full professors (promotors) and associate/assistant professors (daily ).

The promoters are Prof. Ting Li and Prof. . Prof. Ting Li is a professor of digital business and focuses on studying the economic impacts of digitization on consumer behavior and firm strategy. She is an expert in digital platforms, social and mobile analytics, AI and decision making, and economic value of emerging technologies (AR/VR, Generative AI, Web3). Prof. is a professor in information management and markets and an expert in digital market and enterprise architecture, big data and analytics, digital work, and energy markets.

https://www.rsm.nl/research/departments/technology-and-operations-management/business-information/ .

• Identify a consequential phenomenon that is relevant to managers or policymakers, and which has not been fully addressed in prior research;
• Obtain data, primary or secondary, that are needed to better understand the phenomenon;
• Use the scientific literature to understand and examine the theoretical foundations of the phenomenon;
• Identify the fundamental variables and relationships that are most important to the phenomenon of interest, and formalize these mathematically while relating them to data;
• Identify the main assumptions that need to be made in order to solve or estimate the model, and understand their implications;
• Develop methods necessary to extract research results from data;
• Present research findings at national and international conferences;
• Document findings for publication in leading scientific journals, and ultimately, your dissertation.

To conduct research, you will be able to take advantage of our strong industry ties, institutional databases, and software development support to gain access to large-scale data sets and have the opportunity to conduct real-world field experiments.

The BIM section of the Department of Technology & Operations Management at RSM is recognized worldwide and is multi- and interdisciplinary, publishing its research in top information systems and management journals. This makes the BIM section a lively, creative, and intellectually stimulating place to conduct research. The BIM section has a large, young, and highly international faculty. The 15 full-time research-active faculty members have been educated at renowned institutions in Europe, the USA, and Asia. We have strong research and teaching traditions and an international orientation both to the academic community and the business community.

BIM offers a high-profile MSc Business Information Management , one of Europe's largest master's programmes in Information Systems with 250+ new students each year. The programme delivers in-depth knowledge from theoretical and practical perspectives. Furthermore, a Master of Business Analytics & Management program was launched in 2020.

Rotterdam School of Management, Erasmus University (RSM) is one of Europe's leading business schools. RSM provides ground-breaking research and education furthering excellence in all aspects of management and is based in the international port city of Rotterdam - a vital nexus of business, logistics, and trade. RSM's primary focus is on developing business leaders with international careers who can become a force for positive change by carrying their innovative mindset into a sustainable future. Our first-class range of bachelor's, master's, MBA, Ph.D., and executive programmes encourage them to become critical, creative, caring, and collaborative thinkers and doers.

As a Ph.D. student, you will gain the training and experience necessary to conduct independent research through coursework in information systems, economics, econometrics, machine learning, and large-scale data analytics. You will conduct applied and theoretical research under the supervision of our research faculty. The Ph.D. dissertation will be defined by the student with inputs from the advisors, and thus requires creativity, self-direction, and a passion for scientific inquiry.

Core coursework is designed to build methodological skills, modelling competence, and substantive depth. The Ph.D. students will develop their knowledge and research skills by taking courses during the first and second years. The courses are offered by the Tinbergen Institute ( http://www.tinbergen.nl ), ERIM ( https://www.erim.eur.nl/ ), and/or other research institutes. It is relevant to the economics of information systems and business analytics in information systems, including, but not limited to microeconomics (individual choice, aggregate supply, and demand, equilibrium), econometrics (endogenous variables, choice modeling), statistics and probability, Bayesian modelling, machine learning, and deep learning.

We organize weekly BIM research seminars ( www.erim.eur.nl/research/events/research-seminars ) that bring leading scholars to share their knowledge and insights on cutting-edge research that is emerging in other top schools around the world. Exposure to such networks helps you jump-start your career by providing an in-depth view of mainstream research in the field, key methodological concerns, and emerging views among scholars and journal editors.

Research environment. Our interdisciplinary Ph.D. program provides an unparalleled source of training for doing cutting-edge research in Information Systems. In addition to strong technical training in quantitative methods, students will also be equipped with a deep appreciation and understanding of the behavioral mechanisms and processes that influence decision-making via interactions with faculty studying topics related to individual decision-making in experimental paradigms. Although you are likely to work primarily with field data, you will have access to the Erasmus Behavioral Lab, which provides all the necessary facilities to conduct world-class research on consumer behavior (cubicles, group labs, video labs, eye tracking, EEG).

Required profile

We seek candidates who are:

• Passionate about understanding the impact of digital technologies on individuals, organizations, markets, system design, public policy, and society;
• Enthusiasm for quantitative analysis, data, programming, and science;
• Experience in conducting and completing a research project;
• MSc or MPhil in Econometrics, Statistics, Computer Science, Economics or a related discipline;
• Experience developing and estimating econometric or statistical models in R, SAS, Stata, and Python;
• Programming skills, and in particular, prior exposure to or experience with scraping structured content structured web content (HTML, XPATH, CSS, etc.) from web sites;
• Openness, intellectual curiosity, eagerness to learn, and a willingness to be proved wrong;
• Ambition to work towards an academic career as a world-class researcher and instructor;
• Willingness and motivation to formulate your own research projects and carry those through to the end (i.e., publication in a top journal);
• Eagerness to ask and answer novel questions;
• Experience in writing scientific papers.

Required by ERIM

All application documents required by ERIM can be found here: https://www.erim.eur.nl/doctoral-programme/phd-in-management/admissions/application/

Expected output

Scholar publications. You will develop research papers that can be published in top-tier information systems and management journals, such as Management Science , MIS Quarterly , and Information Systems Research . BIM faculty at RSM has a strong publication record in these journals. The final results of the Ph.D. are also published in a Ph.D. dissertation. Most BIM Ph.D. students will be able to publish multiple papers in these top journals.

Placement record. In the past five years, our graduates have accepted faculty positions at top business schools all around the world, including MIT, Northwestern University, George Washington University, Copenhagen Business School, IE Business School, University of Amsterdam, and VU Amsterdam.

Cooperation

To strengthen your international profile, we strongly encourage our Ph.D. students to go abroad for a research visit during their third or fourth year at one of the top universities for 3 to 6 months. Past destinations include MIT, University of Maryland, University of Minnesota, Carnegie Mellon University, and University of California, Berkeley.

Literature references & data sources

• Bughin, Jacques, Laura LaBerge, and Anette Mellbye, The Case for Digital Reinvention, McKinsey Quarterly , February 2017.
• Porter, M. E. and J.E. Heppelmann, How Smart, Connected Products are Transforming Competition, Harvard Business Review , p. 65 - 88, November 2014.
• Vidgen, R., Shaw, S., and Grant, D.B. (2017) "Management challenges in creating value from business analytics," European Journal of Operational Research (261), pp. 626-639.
• Rodrigo Belo and Ting Li. 2022. Social Referral Programs for Freemium Platforms. Management Science
• Li, T., J. van Dalen & P.J. Rees (2018). Examining the Information Content of Stock Microblogs on Financial Markets.Journal of Information Technology .
• Li, T., R.J. Kauffman, E. van Heck, P.H.M. Vervest & B.G.C. Dellaert (2014). Consumer Informedness and Firm Information Strategy.Information Systems Research , 25 (2), 345-363.

Employment conditions

ERIM offers fully-funded and salaried PhD positions, which means that accepted PhD candidates become employees (promovendi) of Erasmus University Rotterdam. Salary and benefits are in accordance with the Collective Labour Agreement for Dutch Universities (CAO) .

Erasmus University Rotterdam aspires to be an equitable and inclusive community. We nurture an open culture, where everyone is supported to fulfil their full potential. We see inclusivity of talent as the basis of our successes, and the diversity of perspectives and people as a highly valued outcome. EUR provides equal opportunities to all employees and applicants regardless of gender identity or expression, sexual orientation, religion, ethnicity, age, neurodiversity, functional impairment, citizenship, or any other aspect which makes them unique. We look forward to welcoming you to our community.

Contact information

For questions regarding the PhD application and selection procedure, please check the Admissions or send us an e-mail via .

Functie:	ph.d. student
Startdatum:	01-11-2023
Ervaring:	Ervaren
Educatielevel:	WO
Contracttype:	Tijdelijk
Salaris:	onbekend – onbekend
Uren per week:	1 – 40

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