Connectionists: UK PhD Studentship in Mining Electronic Health Records to Identify Effective Dietetic Factors

[Shangming Zhou]

*Mining Routinely Collected Electronic Health Records to Identify Effective
Dietetic Factors for Optimal Care in General Practice*

DoS: Professor Shang-Ming Zhou (shangming.zhou at plymouth.ac.uk, tel.: 01752
586513)

2nd Supervisor: Professor Mary Hickson (mary.hickson at plymouth.ac.uk  ,
tel.: 01752 587542)

3rd Supervisor: Dr Avril Collinson (avril.collinson at plymouth.ac.uk, tel.:
01752 588848)

Applications are invited for a three-year PhD studentship. The studentship
will start on 1st October 2023 or 01 January 2024 for the right candidate.

*Project Description*

The typical approach to dietetic work in primary care involves outreach
clinics and educational initiatives that are provided by dietitians working
in community or acute settings, or by offering dietetic clinics inside GP
offices taking referrals from GPs. More recently, dietitians have been able
to train to become first contact practitioners; a diagnostic clinician able
to assess and manage undifferentiated and undiagnosed presentations.
However, the ways in which these practitioners operate has yet to be
defined and the role in dietetics is in its infancy and requires evaluation.

The aims of this project are to interrogate multiples electronic health
databases and build evidence on dietetic care in general practice.

This study will enable the definition of what areas of general practice
workload a dietitian can support and build evidence of dietary factors that
influence disease risk and patterns of risk stratification.

The funded PhD student will use statistics and machine learning techniques
with data extracted from the electronic health records to generate evidence
on dietetic care.

*Eligibility*

Applicants should have

   1. A first or upper second-class honours degree in an appropriate
   subject or a relevant Masters qualification in Health Informatics, Medical
   Informatics, Bioinformatics, Health Data Science, Computing Science,
   Statistics, or any areas related;
   2. Interest in working with real-world problems and large data sets;
   3. Excellent proficiency in English and outstanding communication skills;
   4. Strong analytical and programming skills;
   5. A “can do”, positive attitude with an aspiration to change the world.


   - Experience in machine learning is advantageous.
   - Experience in publication of peer-reviewed literature is desirable.

If your first language is not English, you will need to meet the minimum
English requirements for the programme, academic IELTS score of 6.5 or
above (with no less than 5.5 in each component test area) or equivalent.

*Funding*

*To view the funding details*, please visit here
<https://www.plymouth.ac.uk/student-life/your-studies/research-degrees/postgraduate-research-studentships/mining-routinely-collected-electronic-health-records-to-identify-effective-dietetic-factors-for-optimal-care-in-general-practice>
.

If you wish to discuss this project further informally, please contact
Professor Shang-Ming Zhou <https://www.plymouth.ac.uk/staff/shang-ming-zhou>
  via shangming.zhou at plymouth.ac.uk

*To apply for this position *please click 'Apply' above.

*Please clearly state the name of the DoS and the studentship title that
you are applying for on the top of your Personal Statement.*

Please see here
<https://www.plymouth.ac.uk/student-life/your-studies/research-degrees/applicants-and-enquirers>
for
a list of supporting documents to upload with your application.

   - *Provision of a research proposal is advantageous.*

For more information on the admissions process generally, please visit our How
to Apply for a Research Degree
<https://www.plymouth.ac.uk/student-life/your-studies/research-degrees/applicants-and-enquirers>
webpage
or contact the Doctoral College <doctoral.college at plymouth.ac.uk>.

*The closing date for applications is 12 noon on 31st July 2023.*

Shortlisted candidates will be invited for interview shortly after the
deadline. We regret that we may not be able to respond to all applications.

Applicants who have not received a response within six weeks of the closing
date should consider their application has been unsuccessful on this
occasion.

Funding Notes
The studentship is supported for 3 years and includes full Home tuition
fees plus a stipend of £17,668 per annum 2022/23 rate (2023/24 rate TBC).
The studentship will only fully fund those applicants who are eligible for
Home fees with relevant qualifications. Applicants normally required to
cover International fees will have to cover the difference between the Home
and the International tuition fee rates (approximately £12,697 per annum).
NB: The studentship is supported for three years of the four-year
registration period. The fourth year is a self-funded ‘writing-up’ year.
-------------- next part --------------
An HTML attachment was scrubbed...
URL: <http://mailman.srv.cs.cmu.edu/pipermail/connectionists/attachments/20230531/0b7be19c/attachment.html>