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- Tasks: Develop mathematical models to explore social dynamics and inequality.
- Company: Join the prestigious LSE and work with leading researchers.
- Benefits: Gain valuable research experience and contribute to impactful projects.
- Other info: Collaborative environment with opportunities for interdisciplinary research.
- Why this job: Make a difference in understanding social inequality through innovative modelling.
- Qualifications: PhD in relevant field and experience in modelling and programming.
The predicted salary is between 35000 - 45000 £ per year.
This full-time research officer position is to work with Eleanor Power as part of her Research Leadership Award, funded by the Leverhulme Trust, titled 'Reputational Poverty Traps' and the Reproduction of Social Inequality in South Asia and the World.
This post will involve developing mathematical and agent-based models of reputation dynamics on evolving social networks. This will be done in close collaboration with Dr Power, as well as researchers who have conducted experimental and ethnographic research in communities in South Asia and elsewhere around the world.
The research officer will develop computational models that translate and quantify this empirical evidence (of social connections, reputational evaluations, and cooperative decision-making) to explore possible mechanisms fuelling social inequality. These models will likely draw on (evolutionary) game theory to posit a range of decisions and strategies and explore their individual and collective outcomes. The exact form that the models take will be driven in large part by the research officer.
The successful candidate will:
- have successfully completed or be close to completing a PhD in a relevant discipline by the post-start date
- have experience in creating mathematical and/or agent-based models of social dynamics
- have experience with database management, version control, and programming in R and/or Python
- have a commitment to collaborative, open, interdisciplinary research
More details on the project can be found here: Project Details
Postdoctoral Research Officer in Modelling Social Dynamics at the LSE in London employer: Network Science Society, Inc.
Contact Detail:
Network Science Society, Inc. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Postdoctoral Research Officer in Modelling Social Dynamics at the LSE in London
✨Tip Number 1
Network like a pro! Reach out to people in your field, especially those connected to the LSE or similar research areas. A friendly chat can open doors and give you insights that might just land you that postdoc position.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your mathematical and agent-based models. When you get the chance to chat with potential collaborators, having tangible examples of your work can really make you stand out.
✨Tip Number 3
Be proactive! Don’t wait for job postings to come to you. Keep an eye on the LSE website and apply directly through our platform. It shows initiative and can give you a leg up on the competition.
✨Tip Number 4
Collaborate and connect! Since this role involves working closely with Dr Power and other researchers, highlight your teamwork skills in conversations. Share examples of past collaborations to demonstrate your commitment to interdisciplinary research.
We think you need these skills to ace Postdoctoral Research Officer in Modelling Social Dynamics at the LSE in London
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter for the Postdoctoral Research Officer role. Highlight your experience with mathematical and agent-based models, and don’t forget to mention your programming skills in R and/or Python. We want to see how you fit into our team!
Show Your Passion: Let your enthusiasm for social dynamics and research shine through in your application. Share any relevant projects or experiences that demonstrate your commitment to collaborative and interdisciplinary research. We love seeing candidates who are genuinely excited about the work we do!
Be Clear and Concise: When writing your application, keep it clear and to the point. Use straightforward language and avoid jargon where possible. We appreciate a well-structured application that makes it easy for us to see your qualifications and potential contributions.
Apply Through Our Website: Don’t forget to submit your application through our official website! This helps us keep everything organised and ensures your application gets the attention it deserves. We can’t wait to see what you bring to the table!
How to prepare for a job interview at Network Science Society, Inc.
✨Know Your Models Inside Out
Make sure you can discuss your experience with mathematical and agent-based models in detail. Be prepared to explain how you've applied these models in previous research, especially in social dynamics. This will show your depth of knowledge and relevance to the role.
✨Familiarise Yourself with Dr Power's Work
Take some time to read up on Dr Eleanor Power's research and the 'Reputational Poverty Traps' project. Understanding her work will not only help you align your answers with her research goals but also demonstrate your genuine interest in the position.
✨Showcase Your Programming Skills
Be ready to discuss your programming experience in R and/or Python. You might even want to prepare a brief example of a project where you used these languages for database management or model development. This practical demonstration can set you apart from other candidates.
✨Emphasise Collaboration and Interdisciplinary Research
Since the role involves working closely with various researchers, highlight your commitment to collaborative work. Share examples of past projects where you successfully collaborated across disciplines, as this will resonate well with the interviewers.