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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, experience in modelling, and programming skills.
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: https://rep2si.github.io/
Postdoctoral Research Officer in Modelling Social Dynamics at the LSE 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
✨Tip Number 1
Network like a pro! Reach out to people in your field, especially those connected to the LSE or similar research areas. Attend conferences, workshops, or even online webinars to make those valuable connections.
✨Tip Number 2
Show off your skills! Prepare a portfolio or a presentation that highlights your experience with mathematical and agent-based models. This will give you an edge during interviews and show how you can contribute to the project.
✨Tip Number 3
Practice makes perfect! Conduct mock interviews with friends or mentors to refine your answers, especially around collaborative and interdisciplinary research. The more comfortable you are, the better you'll perform!
✨Tip Number 4
Apply through our website! We’ve got loads of resources to help you prepare for your application and interview process. Plus, it’s a great way to stay updated on new opportunities that match your skills.
We think you need these skills to ace Postdoctoral Research Officer in Modelling Social Dynamics at the LSE
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter to highlight your experience with mathematical and agent-based models. We want to see how your skills align with the project on reputational dynamics, so don’t hold back!
Show Your Collaborative Spirit: Since this role involves working closely with Dr Power and other researchers, emphasise your commitment to collaborative research. Share examples of past teamwork that showcase your ability to work in an interdisciplinary environment.
Highlight Technical Skills: Don’t forget to mention your programming skills in R and/or Python! We’re keen to see how you’ve used these tools in previous projects, especially in relation to database management and version control.
Apply Through Our Website: We encourage you to submit your application through our website. It’s the best way for us to keep track of your application and ensure it gets the attention it deserves. Good luck!
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 past research, especially in social dynamics. This will show your depth of knowledge and relevance to the role.
✨Showcase Your Programming Skills
Since programming in R and/or Python is crucial for this position, be ready to talk about specific projects where you've used these languages. If possible, bring examples of your code or projects that demonstrate your proficiency and problem-solving skills.
✨Emphasise Collaboration
This role involves working closely with Dr Power and other researchers, so highlight your collaborative experiences. Share examples of how you've successfully worked in interdisciplinary teams and how you value open communication in research settings.
✨Understand the Research Context
Familiarise yourself with the project on 'Reputational Poverty Traps' and its implications for social inequality. Being able to discuss the project's goals and how your work aligns with them will show your genuine interest and commitment to the research.