Search results (4)

Assistant Professor | Data Science

Faculty position in data science.

Doctoral candidate (gn) - WG Systems Ecology

Source: ZMT official vacancies RSS feed. The Leibniz Centre for Tropical Marine Research (ZMT) GmbH (www.leibniz-zmt.de) is an independent research and teaching institute that provides scientific knowledge for the protection and sustainable use of tropical coastal ecosystems. To this end, we work in an inter- and transdisciplinary manner with our partners in the tropics. The ZMT is a member of the Leibniz Association. Climate change is a well-established scientific fact, multiple lines of evidence prove that it is caused by human activities. While consensus among scientists on the role of humans as drivers of climate change is overwhelming, the public opinion remains fractured along political, generational and ideological lines. Different factors concur to maintain these fractures, including cognitive biases and the way information is produced, distributed, and accessed. In societies affected by various forms of inequalities (economical, educational, etc.), access to reliable, verified information is not distributed evenly, creating and maintaining opinions that may not conform with scientific facts. The lack of consensus in this context paralyses legislative action, fuels public polarisation, and creates legal uncertainties that prevent effective climate mitigation and adaptation strategies. By building on our previous work on opinion dynamics, we plan to develop Agent-Based Models of social influence rooted on network theory to investigate the dynamics of opinions in societies affected by cognitive biases and subject to different information structures. We are particularly interested to study three factors determining how information shapes opinion dynamics: (1) the structure of information, especially in relation to the divide between wealthy groups (which can afford premium subscriptions to high-quality factual information) and disadvantaged groups (which rely often on algorithmically driven, low-quality sources); (2) the role of inequality in voices dictating who gets a voice and who is ignored; and (3) media with agendas, involving both the broadcasting of certain stories repeatedly, while starving others of attention, and how certain stories are framed. Using computational modelling, we intend to understand how various characteristics of information may impact opinion dynamics and the formation of consensus or divides on existential matters like climate change. This research will be undertaken in close collaboration with Professor Paul E. Smaldino (from University of California Merced and Santa Fe Institute). The working group Systems Ecology is seeking to fill an opening for a doctoral candidate (subject to release of funds). Doctoral candidate (gn) (Reference: 27-SE-PhD) Your tasks: - Investigate how cognitive biases influence opinion dynamics - Investigate how information and media influence opinion dynamics - Develop computational models of opinion dynamics - Apply network theory to models of opinion dynamics - Produce results publishable in peer-reviewed journals - Produce and defend a PhD thesis Requirements: Applicants must hold a Master degree in one of the following disciplines: mathematics, physics, computational sciences, social modelling, or in similar quantitative or numerical disciplines. Knowledge or a keen interest in behavioral economics, psychology, sociology, and data science will represent an advantage. Candidates should possess very good programming skills, possibly in python, and should have a keen interest in developing a research career focused o

Postdoctoral Researcher | Data Science & Machine Learning for Financial Fraud Detection

Academic opportunity: Postdoctoral Researcher in Data Science & Machine Learning for Financial Fraud Detection. Position at Université d'Orléans in Orléans, France. Please open the original opportunity for the complete official details and application instructions.

Fellow | Business Analytics (Grade 7/8) (1027-26)

Source: Lancaster University RSS. The Department of Management Science seeks to appoint a full-time Senior Teaching Associate/Teaching Fellow in Business Analytics (BA). The department has run successful BSc and MSc programmes in BA for many years. This is an exciting opportunity to contribute to these teaching activities within a research-intensive Management School.In this role, you will deliver part or all of several BA-related modules, at undergraduate and/or postgraduate level, and be involved in the setting and marking of assessment tasks. You will also be allocated time to conduct scholarship activities.You will already hold an MSc and/or PhD in BA or a related discipline (such as Operational Research, Management Science, or Industrial Engineering). You will also have some teaching experience in the Further Education and/or Higher Education sectors. You will be appointed at either grade 7 (currently £40K-£46K) or grade 8 (currently £47K-£58K), depending on qualifications and experience.The appointment is initially for one year, but there is a chance that it will be extended.Expertise in any of the following topics would be particularly welcome: statistics, data mining, machine learning, stochastic modelling, forecasting, simulation.Applications are by letter of no more than two pages setting out why you want the role, and how you meet the person specification. A CV must also be included. Applications must be submitted using the Lancaster jobs portal.Informal enquiries can be made to Dr Chris Kirkbride, Head of Department (c.kirkbride@lancaster.ac.uk). Closing Date: 16 Oct 2026 Department: Teaching-Only Salary: £39,906 to £46,049 (Full time, indefinite with end date)