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Computational approaches to identifying biomarkers and therapeutics for human aging - Ref: ASUF2518

  • Full or part time
  • Application Deadline
    Applications accepted all year round
  • Self-Funded PhD Students Only
    Self-Funded PhD Students Only

Project Description

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

Interested candidates please send a cover letter with research interests, CV, and a list of 3 references

Entry requirements

Applicants should have, or expect to achieve, at least a 2:1 Honours degree (or equivalent) in programming or a related subject. In addition the following requirements are desirable;

- 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
A relevant Master’s degree and/or experience in one or more of the following will be an advantage, bioinformatics, biological or medical sciences, physics, chemistry, mathematics, engineering and/or computer science

How to apply

All applications should be made online. Under programme name select Mechanical and Manufacturing Engineering. Please quote reference number: ASUF2518

Funding Notes

For more information about funding your PhD, please refer to the following link; View Website

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