
Website University of Nottingham
Job Summary Table of PhD Studentship in Liver Disease Epidemiology
| Attribute | Details |
|---|---|
| Job Title | PhD Studentship: Joint modelling of latent trajectories for dynamic prediction of competing outcomes in patients with liver disease |
| Visa Sponsorship | Yes (for overseas students with own funding) |
| Company Name | University of Nottingham |
| Country | United Kingdom |
| Location | UK (On-site) |
| Salary Range | Tax-free stipend (amount not specified) |
| Job Type | Full-time |
| Department | Medicine |
| Experience Level | Entry-level (PhD studentship) |
| Education Requirements | At least a 2.1 Honours degree in mathematics, statistics, data science, epidemiology, or a related field |
| Skills and Expertise | Epidemiology, Statistics, Computational Statistics, Hepatology |
| Posting Date | Info not available |
| Job Expires | Wednesday, July 31, 2024 |
| Source | University of Nottingham |
| Apply Link | Apply Link |
Job Description Summary
The University of Nottingham is offering a PhD Studentship in the field of Medicine, focusing on the joint modelling of latent trajectories for dynamic prediction of competing outcomes in patients with liver disease.
Responsibilities
- Develop novel methods in dynamic prediction, longitudinal data analysis, survival and competing risk models, and latent class modelling within a probabilistic framework
- Analyze large longitudinal population-based cohorts with liver disease, including test results, patient-level variables, and outcomes during follow-up
- Collaborate with supervisors and experts in hepatology, epidemiology, and computational statistics to implement and validate the developed methods
- Contribute to the advancement of knowledge in the field of liver disease progression and prediction
Benefits and Perks
- Three-year studentship covering tuition fees and a tax-free stipend
- Access to world-leading centres for routine health data analysis at the University of Nottingham (UK) and Aarhus University (Denmark)
- Opportunity to work with a supervisory team comprising Professors in hepatology and epidemiology, and experts in computational statistics and model fitting using routine healthcare data
Company Overview
The University of Nottingham is a public research university in Nottingham, United Kingdom, founded in 1948. It is a member of the prestigious Russell Group of research-intensive universities and is consistently ranked among the top universities in the UK for research and teaching excellence.
Company Culture
The University of Nottingham fosters a diverse and inclusive research environment, promoting collaboration, innovation, and academic freedom. Postgraduate researchers are encouraged to participate in various professional development opportunities, seminars, and networking events to enhance their skills and expand their professional network.
Career Growth Opportunities
Successful completion of the PhD Studentship can open doors to various career paths, including academia, research institutions, healthcare organizations, and industry positions related to data analytics, epidemiology, and biotechnology. The acquired skills and expertise can be highly valuable in pursuing further research or transitioning to a professional career in related fields.
Diversity, Equity, Inclusion, and Belonging
The University of Nottingham is committed to promoting diversity, equity, and inclusion among its staff and student body. It actively supports underrepresented groups and encourages applications from individuals with diverse backgrounds and experiences.
Equal Opportunity Statement
The University of Nottingham is an equal opportunity employer and is dedicated to creating a diverse and inclusive working environment. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or any other protected characteristic.
Remote Work Policy
This PhD Studentship is an on-site position, requiring physical presence at the University of Nottingham and Aarhus University for research activities, laboratory work, and collaboration with supervisors and research teams.
Application Process
- Prepare the required documents: a cover letter outlining your research interests and motivation for pursuing this project, a curriculum vitae detailing your academic background, research experience, and relevant skills, and academic transcripts of previous degrees.
- Submit your application through the University of Nottingham’s online application system: https://www.nottingham.ac.uk/pgstudy/how-to-apply/apply-online.aspx
- Indicate Colin Crooks as the primary supervisor, and include the details of the studentship in the research proposal section.
Application Deadline
Applications must be submitted by Wednesday, July 31, 2024.
How to Apply
To apply for this PhD Studentship, visit the University of Nottingham’s online application system at https://www.nottingham.ac.uk/pgstudy/how-to-apply/apply-online.aspx and follow the instructions provided. Include Colin Crooks as the primary supervisor, and provide the details of the studentship in the research proposal section. Additionally, submit a cover letter, curriculum vitae, and academic transcripts as specified in the application requirements.
Social Media Links
- LinkedIn: https://www.linkedin.com/school/university-of-nottingham/
- Twitter: https://twitter.com/uniofnottingham
- Facebook: https://www.facebook.com/UniversityofNottingham
FAQs or Additional Information
Q: Can international students apply for this PhD Studentship?
A: Yes, international students can apply for this PhD Studentship. However, overseas students will need to provide their own funding to cover the overseas tuition fees.
Q: What is the duration of the PhD Studentship?
A: The PhD Studentship is a three-year program, covering tuition fees and a tax-free stipend.
Q: What are the entry requirements for this PhD Studentship?
A: Applicants must have at least a 2.1 Honours degree in mathematics, statistics, data science, epidemiology, or a related field.
Q: Can I apply for this PhD Studentship if I have a different educational background?
A: The entry requirements specify a degree in a relevant field, such as mathematics, statistics, data science, or epidemiology. However, applicants with a different educational background but relevant experience may be considered on a case-by-case basis.
Q: Will I have opportunities to collaborate with international researchers?
A: Yes, this PhD Studentship involves collaboration between the University of Nottingham (UK) and Aarhus University (Denmark), providing opportunities to work with researchers and experts from both institutions.
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