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- Tasks: Conduct innovative research in R&D management and develop game-theoretic models.
- Company: Join the prestigious University of Cambridge's Judge Business School.
- Benefits: Opportunity to co-author publications and work in a vibrant research environment.
- Why this job: Make a real-world impact through rigorous research with no teaching responsibilities.
- Qualifications: PhD or near completion in relevant fields, strong skills in Game Theory and empirical methods.
- Other info: Fixed-term position with potential for 3 years of impactful research.
The predicted salary is between 36000 - 60000 ÂŁ per year.
Cambridge Judge Business School (CJBS) is at the heart of the University of Cambridge and within one of Europe's most vibrant entrepreneurship and technology clusters. The School provides a collegian, ambitious environment with strong support for rigorous, original and impactful research.
The Business School invites applications for a Postdoctoral Research Associate to join the project R&D Incentives Under Subjective Evaluation, under the supervision of the Professor of Innovation and Operations Management. The successful candidate will work at the intersection of theory and practice in innovationâintensive settings, developing gameâtheoretic models and leading empirical analyses, including controlled experiments and archival or industry data studies, that connect rigorous theory to realâworld insights in R&D management.
The role is researchâfocused with no teaching responsibilities and offers the opportunity to coâauthor highâquality publications. The ideal candidate will hold a PhD or be near completion in Operations, Economics, Decision Sciences, or a related field, with strong skills in Game Theory (information economics, contract theory, or principalâagent models) and empirical methods (econometrics or experimental design). Proficiency in Python, R, Matlab, Stata, or LaTeX is required, along with evidence of research potential and strong scientific communication skills.
Experience in innovation, R&D management, complex datasets, experiments, structural estimation, or causal inference is desirable, as is an interest in industry engagement and realâworld impact.
Fixedâterm: The funds for this post are available for 3 years in the first instance.
The University actively supports equality, diversity and inclusion and encourages applications from all sections of society. The University has a responsibility to ensure that all employees are eligible to live and work in the UK.
Research Associate in Innovation and Operations Management (Fixed Term) in Cambridge employer: University of Cambridge
Contact Detail:
University of Cambridge Recruiting Team
StudySmarter Expert Advice đ¤Ť
We think this is how you could land Research Associate in Innovation and Operations Management (Fixed Term) in Cambridge
â¨Tip Number 1
Network like a pro! Reach out to your connections in the industry, attend relevant events, and engage with professionals on platforms like LinkedIn. We all know that sometimes itâs not just what you know, but who you know that can help you land that dream job.
â¨Tip Number 2
Prepare for interviews by researching the company and the role thoroughly. Understand their projects, values, and recent developments. We want you to walk in feeling confident and ready to discuss how your skills align with their needs.
â¨Tip Number 3
Practice makes perfect! Conduct mock interviews with friends or mentors to refine your answers and get comfortable with the format. We believe that the more you practice, the more natural it will feel when itâs time for the real deal.
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Donât forget to follow up after your interviews! A simple thank-you email can go a long way in showing your appreciation and keeping you top of mind. Weâre all about making those connections last!
We think you need these skills to ace Research Associate in Innovation and Operations Management (Fixed Term) in Cambridge
Some tips for your application đŤĄ
Tailor Your CV: Make sure your CV is tailored to the Research Associate role. Highlight your skills in Game Theory and empirical methods, and donât forget to mention any relevant experience in innovation or R&D management.
Craft a Compelling Cover Letter: Your cover letter should tell us why youâre the perfect fit for this position. Share your passion for research and how your background aligns with the project on R&D incentives. Be genuine and let your personality shine through!
Showcase Your Research Potential: Include evidence of your research potential in your application. This could be publications, presentations, or even projects that demonstrate your ability to connect theory with real-world insights. We want to see what you can bring to the table!
Follow Application Instructions: Donât forget to quote reference NS48188 in your application! Itâs a small detail but super important. Make sure to apply through our website to ensure your application gets to us smoothly.
How to prepare for a job interview at University of Cambridge
â¨Know Your Research
Dive deep into the project R&D Incentives Under Subjective Evaluation. Familiarise yourself with the key theories and methodologies that will be discussed during the interview. Being able to articulate how your background in Game Theory and empirical methods aligns with the project will impress the interviewers.
â¨Showcase Your Skills
Prepare to discuss your proficiency in Python, R, Matlab, Stata, or LaTeX. Bring examples of past projects where you applied these skills, especially in innovation or R&D management. This will demonstrate your hands-on experience and ability to contribute effectively from day one.
â¨Connect Theory to Practice
Be ready to explain how your theoretical knowledge translates into real-world applications. Discuss any experiences you've had with complex datasets or experiments, and how they can inform R&D management practices. This shows that you understand the practical implications of your research.
â¨Communicate Clearly
Strong scientific communication skills are essential for this role. Practice explaining your research in simple terms, as if you were talking to someone outside your field. This will not only help you in the interview but also in future collaborations and publications.
