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- Tasks: Research AI techniques to enhance group decision-making and problem-solving.
- Company: University of Strathclyde, known for research excellence and industry links.
- Benefits: Access to advanced research training, mentorship, and publication opportunities.
- Other info: Supportive research environment with professional development for future careers.
- Why this job: Make a real impact by integrating AI with collaborative modelling methods.
- Qualifications: First-class degree in relevant field; master's preferred; strong analytical skills.
The predicted salary is between 18000 - 25000 £ per year.
The University of Strathclyde is offering a PhD studentship in AI-Augmented Group Model Building within the Department of Management Science at Strathclyde Business School. This research opportunity focuses on advancing the integration of artificial intelligence techniques with group model building approaches, with the aim of enhancing collaborative decision-making and complex problem-solving processes.
The project will explore how AI can support and augment participatory modelling methods, particularly in contexts where stakeholders engage in system dynamics modelling to address complex organisational or societal challenges. The successful candidate will investigate the design, development, and application of AI tools to facilitate group model building, improving efficiency, inclusivity, and analytical depth. The research will involve interdisciplinary approaches, combining management science, artificial intelligence, systems thinking, and decision sciences. The candidate will work closely with experienced academic supervisors and may engage with external partners where relevant.
The programme provides access to advanced research training, academic mentorship, and opportunities to contribute to high-impact publications and conferences. Strathclyde Business School is internationally recognised for its research excellence and strong links with industry and public sector organisations. The University offers a supportive and collaborative research environment, along with professional development opportunities to prepare graduates for careers in academia, industry, and policy.
Eligibility Criteria- A first-class or upper second-class honours degree (or international equivalent) in a relevant discipline such as management science, computer science, artificial intelligence, operations research, or a related field.
- A master’s degree in a relevant subject is desirable.
- Applicants must meet the University of Strathclyde’s English language requirements where applicable.
- Demonstrated interest in interdisciplinary research combining AI and decision sciences.
- Strong analytical and problem-solving skills.
- Ability to undertake independent and collaborative research.
- Programming or computational modelling experience is advantageous.
- Effective written and verbal communication skills.
- Ability to engage with interdisciplinary research environments.
Not specified (funding or studentship support may be available depending on eligibility and funding arrangements).
PhD Studentship in AI-Augmented Group Model Building employer: RFCSR
Contact Detail:
RFCSR Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land PhD Studentship in AI-Augmented Group Model Building
✨Tip Number 1
Network like a pro! Reach out to current PhD students or faculty at Strathclyde. They can give you insider info about the programme and might even put in a good word for you.
✨Tip Number 2
Prepare for your interview by brushing up on AI and group model building concepts. We want to see your passion and knowledge shine through, so be ready to discuss how you can contribute to the research.
✨Tip Number 3
Showcase your skills! If you've done any relevant projects or research, make sure to highlight them during your discussions. We love seeing practical applications of your knowledge.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets the attention it deserves. Plus, you’ll find all the details you need to make your application stand out.
We think you need these skills to ace PhD Studentship in AI-Augmented Group Model Building
Some tips for your application 🫡
Show Your Passion: Let us see your enthusiasm for AI and group model building! In your application, share why this research excites you and how it aligns with your career goals. A personal touch can really make your application stand out.
Tailor Your CV: Make sure your CV highlights relevant experience and skills that match the job description. We want to see your analytical skills, programming experience, and any interdisciplinary projects you've worked on. Customising your CV shows us you're serious about this opportunity!
Craft a Compelling Cover Letter: Your cover letter is your chance to tell your story. Use it to explain how your background fits with the PhD studentship and what unique perspectives you bring. Keep it engaging and concise – we love a good narrative!
Apply Through Our Website: Don’t forget to submit your application through our official website! It’s the best way to ensure your application gets to us directly. Plus, you’ll find all the details you need to complete your application smoothly.
How to prepare for a job interview at RFCSR
✨Know Your AI and Group Model Building
Make sure you brush up on the latest trends in AI and how it integrates with group model building. Be ready to discuss specific examples of how AI can enhance collaborative decision-making, as this will show your understanding of the project's core focus.
✨Showcase Your Interdisciplinary Skills
Highlight any experience you have that combines management science, AI, and decision sciences. Prepare to discuss how your background can contribute to the research environment at Strathclyde, as they value candidates who can bridge different fields.
✨Prepare Thoughtful Questions
Think of insightful questions to ask your interviewers about the project, the team, and the university's research culture. This not only shows your genuine interest but also helps you assess if the environment is the right fit for you.
✨Demonstrate Your Communication Skills
Since effective communication is key in collaborative research, practice articulating your thoughts clearly and concisely. You might be asked to explain complex concepts, so being able to communicate them simply will set you apart.