Computational approaches to identifying biomarkers and therapeutics for human aging PhD

Mechanical, Electrical and Manufacturing Engineering
Entry requirements:
3 years
not available
Reference number:
Start date:
01 October 2018
Is funding available?
UK/EU fees:
International fees:
Application deadline:
09 March 2018



in the UK for research quality

REF 2014


in the UK for Mechanical Engineering

The Complete University Guide 2018


of 2 Queen's Anniversary Prizes


Loughborough University is a top-ten rated university in England for research intensity (REF2014) and an outstanding 66% of the work of Loughborough’s academic staff who were eligible to be submitted to the REF was judged as ‘world-leading’ or ‘internationally excellent’, compared to a national average figure of 43%.

In choosing Loughborough for your research, you’ll work alongside academics who are leaders in their field. You will benefit from comprehensive support and guidance from our Doctoral College, including tailored careers advice, to help you succeed in your research and future career. 

Project detail

Loughborough University in partnership with BioAge Labs is offering an industry PhD position under the supervision of Prof. Alexandra Stolzing. The position is available for a three-year appointment.

 In cooperation with bioinformaticists and biologists, the PhD candidate will develop computational and systems biology methods that combine multiple omics datasets to identify biological pathways that impact human aging.

 We offer:

  •  Education in computational and molecular biology
  •  State-of-the-art technologies and infrastructure (e.g. bioinformatics, HT drug screening)
  •  International, multidisciplinary, fast-paced startup environment


Primary supervisor: Prof. Alexandra Stolzing

Secondary supervisor: TBC

Find out more

Entry requirements

Applicants should have, Strong interest in aging research, Excellent communication (written, verbal, data recording) and organizational skills, Ability to carry out research tasks independently and effectively collaborate with other research staff.  Highly productive and able to get things done on tight timelines,  Prior experience with programming strongly preferred. - Highly motivated and talented graduates with backgrounds in bioinformatics, biological or medical sciences, physics, chemistry, mathematics, engineering and/or computer science.

Applicants must meet the minimum English Language requirements, details available on the website.

Fees and funding


Tuition fees cover the cost of your teaching, assessment and operating University facilities such as the library, IT equipment and other support services. University fees and charges can be paid in advance and there are several methods of payment, including online payments and payment by instalment. Special arrangements are made for payments by part-time students.

Please note that these studentships will be awarded on a competitive basis to applicants who have applied to this project and/or the following 30 projects that have been prioritised for funding; job advert ref: WS01 – WS30

If awarded, each 3 year studentship will provide a tax-free stipend of £14,786 p.a ( provisional), plus tuition fees at the UK/EU rate (currently £4,262 p.a). While we welcome applications from non EU nationals, please be advised that due to funding retsrictions it will only be possible to fund the tuition fees at the international rate and no stipend will be available. Successful candidates will be notified by 30th April 2018.

How to apply

All applications should be made online.  Under programme name, select Mechanical & Manufacturing Engineering

Please quote reference number: WS30

Application details

Reference number:  WS30
Start date: 01 October 2018
Application deadline: 09 March 2018