AUTOSEP – Automated Separation by Eluotropic Space Optimisation – PhD Studentship


AUTOSEP – Automated Separation by Eluotropic Space Optimisation

PDC / USW MAXI 21863 

PhD wedi’i gyllido yw hwn, sy’n cynnwys cyflog hael a ffioedd dysgu, gydag amgylchiadau sydd â digon o adnoddau ar gyfer ysgoloriaeth lwyddiannus. This is a funded PhD, including a generous stipend and tuition fees, with well-resourced circumstances for a successful scholarship.

Here is an exciting opportunity to study a platform using state-of-the-art UPLC, CDS software and lab Informatics support to provide an automatable method development system which could lead to entirely new approaches capable of exploitation across multiple industries such as pharma and speciality chemicals.

The selected candidate will apply their analytical chemistry and computing skills and ambition to help deliver concreate evidence supporting the hypothesis that it is possible to build an automation system which can map eluotropic space around optimized 4-column LC separation, organic modifiers and buffers with peak tracking by MS and in-silico optimization through chemometrics analysis and validation. This research will allow the student to develop transferable knowledge and skills in this most exciting and active field of analytical chemistry research.

This Knowledge Economy Skills Scholarship (KESS) project will be held in the Faculty of Computing, Engineering and Science at the University of South Wales. KESS is a programme funded by the European Social Fund (ESF) awarded by the Welsh European Funding Office (WEFO) in the Welsh Government. The PhD will be associated with other strategic industrial partners. The project will focus on automated robust chromatography method development delivering:

  • Lower analytical method development costs
  • More sustainable and cheaper standard methods
  • Opportunity to offer the validated solution to SMEs and start-ups who do not have the capability to equipment and man their own facilities in this area
  • Potential to establish a base for these operations at the heart of the client industry cluster

The project is backed by MASS INFORMATICS Ltd, which was established in 2013 as an innovative informatics consultancy company staffed by experts from global pharma and financial sectors.

Programme of research:

The student will be integrated into the SERC organisation and the strong support available through the Faculty research community. The student will be working in facilities dedicated to internationally renowned research & development alongside other PhD students working on different topics utilising advanced analytical science in different but innovative ways.

The project will initially investigate/document state-of-the-art good practise in industry through interviews with senior analysts and laboratory staff in different industry locations in EW and across the UK. Decisions on the prototype design will be made. The initial laboratory research phase will begin with the acquisition and installation of the required hardware and software support systems with appropriate training at the various vendor locations. The main laboratory and software development phase will see the various scenarios identified by contact with the user Stakeholder group will be prioritised by the supervisors on increasing levels of complexity and form the main laboratory development phase.

Based on feedback from the main laboratory phase and in consultation with the Stakeholder user group, the instrument and software vendor a design review will be conducted followed by the modification and deployment of any necessary identified improvements to the overall system. A validation challenge phase will be the final section of the project to test the boundaries of the solution with the Stakeholder group being brought in to provide the final validation analytical challenges followed by completion of the PhD submission and examination within the required timelines. 

Ysgoloriaeth ymchwil:


Bydd yr ysgoloriaeth ymchwil yn cynnwys ffioedd ar gyfer rhaglen PhD llawn-amser am flwyddyn ac yn talu cyflog o oddeutu £14k y flwyddyn. Mae hefyd tua £9k o gostau cymorth ar gael i’r prosiect ar gyfer treuliau, teithio, mân offer, hyfforddiant (gan gynnwys Ysgol Raddedig KESS) a mynychu cynadleddau.


Mae’r swydd ar gael o 1 Ionawr 2020.


The studentship will cover the fees for a full-time PhD programme and pay a stipend of circa £14k p.a. There is also around £9k project support costs available for consumables, travel, minor equipment, training (including the KESS Grad School) and conference attendance.


The position is available from 1st January 2020.


Cymhwyster Myfyrwyr:

I fod yn gymwys i gael ysgoloriaeth ymchwil KESS, mae’n rhaid:

·         cael cyfeiriad cartref yn yr ardal Dwyrain Cymru (manylion isod)* ar adeg cofrestru.

·         bod gennych hawl i ymgymryd â gwaith cyflogedig yn yr ardal Dwyrain Cymru* ar ôl cwblhau’r ysgoloriaeth.

·         bod y Brifysgol yn eich ystyried yn fyfyriwr ‘cartref’ neu ‘UE’ at ddibenion ffioedd dysgu yn unol â chanllawiau’r Brifysgol.

·         eich bod yn bodloni meini prawf mynediad Prifysgol De Cymru: gweler isod, cymwysterau a phrofiad a’r broses ymgeisio


*Dwyrain Cymru ardal yn cwmpasu:  Bro Morgannwg / Caerdydd / Casnewydd/ Sir Fynwy/ Powys/ Wrecsam/ Sir Y Fflint


Eligibility of Student:

To be eligible to hold a KESS studentship, you must:

·         have a home address in East Wales area (details below)* at the time of registration.

·         have the right to take up paid work in the East Wales area* on completion of the scholarship.

·         be classified by the University as ‘home’ or ‘EU’ for tuition fees purposes according to the University’s guidelines.

·         satisfy University of South Wales’s admissions criteria: see below, qualifications and experience and application process



*East Wales area covers:  Vale of Glamorgan / Cardiff/ Newport/ Monmouthshire/ Powys/ Wrexham/ Flintshire


Cymwysterau a phrofiad:

Bydd gan ymgeiswyr cymwys:

Qualifications and experience:

Eligible applicants will:

  •  Have a degree (2i or higher) in an appropriate chemistry discipline
  • Possess a strong understanding of analytical chemistry, scientific data handling and chemometrics
  • Be highly self-motivated, results-oriented independent worker with capacity to learn and develop chromatography, mass spectrometry and chemometric techniques
  • Have well-developed and positively collaborative interpersonal skills
  • Have an ability to deliver technical reports and communicate findings to external stakeholders
  • Be willing to travel and work in industrial laboratory support settings
Y Broses Ymgeisio:


I lawrlwytho’r pecyn ymgeisio, ewch i:  Pecyn Ymgeisio Cyfranogwr


Am unrhyw ymholiadau ynghylch cymhwysedd, cysylltwch â:  Tîm KESS, Gwasanaethau Ymchwil ac Arloesedd, Prifysgol De Cymru: Ffôn: 01443 482578


Ar gyfer ymholiadau anffurfiol neu ragor o wybodaeth am y rhaglen, cysylltwch â: Professor Tony Davies (


Application Process:


To download an application package, please visit: specific funded studentships:


For any queries on eligibility, please contact:  KESS Team at Research and Innovation Services, University of South Wales:  Tel: 01443 482578


For informal enquiries or further programme information, please contact: Professor Tony Davies (


Dyddiad cau ar gyfer ceisiadau: Hanner nos Dydd Lau 28 Tachwedd 2019

Cynhelir cyfweliadau yn ystod yr wythnos yn dechrau (i’w gadarnhau)


Closing date for applications: midnight Thursday 28th November 2019

Interviews will be held w/c (TBC)


Mae Ysgoloriaethau Sgiliau Economi Gwybodaeth (KESS) yn fenter sgiliau lefel uwch ar draws Cymru a arweinir gan Brifysgol Bangor ar ran y sector AU yng Nghymru. Fe’i cyllidir yn rhannol gan raglen Cronfa Gymdeithasol Ewropeaidd (ESF) Llywodraeth Cymru ar gyfer Dwyrain Cymru. Knowledge Economy Skills Scholarships (KESS) is a pan-Wales higher-level skills initiative led by Bangor University on behalf of the HE sector in Wales. It is part funded by the Welsh Government’s European Social Fund (ESF) programme for East Wales.


*Yn amodol ar gyllid                                                               *Subject to funding