PhD Studentships

PhD Funding

PhD Studentships

The University of Lincoln is making a significant investment to provide research opportunities for exceptional doctoral candidates through its annual half-million pound Research Investment Fund.

The quality and breadth of research at the University of Lincoln was highlighted in the Research Excellence Framework 2014, through which more than half of the University’s submitted research was rated as internationally excellent or world leading (3* or 4*). Lincoln was also placed in the top ten nationally for the quality of its research outputs in two major subject areas.

Studentships Terms and Conditions (MS Word)

Available Studentships

PhD Studentships in the College of Science

Applicants should have a first or higher upper second-class honours degree, and preferably a relevant Master’s degree (or equivalent experience) in Physical Geography, Earth Sciences, Environmental Sciences, and/or Life Sciences with substantial experience of qualitative research, excellent report-writing and English language communication skills and ability to work to deadlines.


Lincoln Centre for Autonomous Systems Research (L-CAS)

PhD Funded Studentship in Bioinspired Vision Systems For Automated Harvesting (funded by AHDB)

This AHDB funded PhD will investigate the crucial problem of rapidly and robustly segmenting fruits and flowers from background vegetation which is considered key component to automation of labour-intensive horticultural processes such as fruit and flower harvesting.  Inspiration will be taken from the vision system of insects that solve exactly this issue (e.g. bees, fruit-flies, aphids) with the aim to develop novel hardware and software solutions based on key abstractions. The selected candidate will benefit strongly from working in close collaboration with researchers at the University of Lincoln’s Institute for Agri-Food Technology & Centre for Autonomous Systems and with horticultural industrial partners ensuring tight coupling of academic output with commercial application. 

You should have a good Bachelors or Masters in Computer Science, Electronic Engineering, Mathematics or Physics. You must have excellent mathematical, and experience in related areas such as optics, machine learning, computer vision software and hardware development are all considered beneficial. 

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Stipend/Living allowance: £14,296 per annum
Start date 1st October 2017 (exact start date may be negotiable)
Duration: 36 months
Reference: AMS 915466

In the first instance, please contact Dr Mike Mangan (mmangan@lincoln.ac.uk), with your CV and transcript.  Please put "AHDB Biovision PhD application" in the subject line. Applications will be assessed as they arrive and, if appropriate, we will contact applicants to discuss things further. 


School of Computer Science

PhD Funded Studentship in “Deep Neural Networks, Adaptation and Transparency”

Over the past 5 years significant growth has occurred in technologies that relate to machine learning & understanding, knowledge modelling & management, data science. Machine Learning, a branch of Artificial & Computational Intelligence, focuses on designing, developing and studying the algorithms that learn from data. Models of learning try to follow the function of the human brain, creating machines with intelligent behavior, which are able to reason, predict and adapt to changing environments, assisting humans in their activities & interactions.

The research interests of the mlearn group cover a variety of subfields where machine learning meets data science, intelligent systems, knowledge representation and reasoning, multimedia and multimodal content analysis, indexing and retrieval, semantic metadata interoperability and search, behavior recognition and affective interactions, sentiment analysis, as well as applications in medical data analysis and health care monitoring, cultural content search and digital libraries, computational finance, computational advertising, smart homes, smart cities and Internet of Things.

The successful candidate will investigate the area of deep neural networks and deep learning for signal and/or big data analysis, especially related to adaptation and transparency issues in applications, such as healthcare and complex data processing. The candidate will benefit strongly from the collaborations we have both within the University of Lincoln and internationally.

Applicants should have a good honours Bachelors or Master’s degree in Computer Science, Engineering, Mathematics or Physics. Applicants must have an excellent mathematical background. Experience in related areas such as machine learning, deep learning and computer vision as these areas are considered beneficial.  

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Open to UK and EU Students only
Stipend/Living allowance: £14,000 per annum
Start date 2 October 2017 (exact start date may be negotiable)
Duration: 36 months
Reference: COS-SOCS-2017-1

Informal enquiries may be made to Professor Stefanos Kollias (skollias@lincoln.ac.uk) or alternatively Dr Georgios Leontidis (gleontidis@lincoln.ac.uk).

To apply, an application of a CV, degree transcripts, and a 1-page covering letter including a brief insight into the research topic area should be emailed to Professor Stefanos Kollias skollias@lincoln.ac.uk and Dr Georgios Leontidis gleontidis@lincoln.ac.uk. Applications must state “PhD application – Deep Neural Networks” in the subject line.  

Applications will be assessed on arrival. Should further information be required the applicant will be contacted.  The position will remain open until filled.


School of Geography

PhD Funded Studentship in 'The environmental fate of emerging sediment-associated contaminants and antibiotic-resistant microbes in river sediment and floodplains.'

Applications are invited for a funded PhD studentship in ‘The environmental fate of emerging sediment-associated contaminants and antibiotic-resistant microbes in river sediment and floodplains’. We are seeking outstanding, highly motivated postgraduate students to undertake a doctoral study in the Lincoln Centre for Water and Planetary Health (School of Geography) at the University of Lincoln.

The successful PhD student will focus on CEC and a PDRA who will investigate microbial communities via eDNA approaches and antibiotic-resistant microbes in river sediment and floodplains.

Applicants should have a first or higher upper second-class honours degree, and preferably a relevant Master’s degree (or equivalent experience) in Physical Geography, Earth Sciences, Environmental Sciences, and/or Life Sciences with substantial experience of qualitative research, excellent report-writing and English language communication skills and ability to work to deadlines.

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Open to UK and EU Students only
Tuition Fees included (capped at UK/EU fee level)
Stipend/Living allowance: £14,052 per annum
Research expenses to be paid up to £1,500
Start date – As soon as possible
Duration: 36 months
Reference: COS-SOG-2017-3

Applications must comprise: 1-page covering letter, 2-page research proposal, 2-page CV, and be e-mailed to Mrs Fiona Burstow: fburstow@lincoln.ac.uk. Closing Date: 31st October 2017.

Interviews are due to be held mid-November with the successful candidate starting as soon as possible after this date

Informal enquiries may be made to Professor Mark Macklin: (mmacklin@lincoln.ac.uk).


School of Pharmacy

PhD Funded Studentship in 'The role of RNA-binding proteins (RBPs) in diabetes.'

Diabetes is a chronic human disease characterised by high blood glucose concentration which is caused by insulin deficiency. An estimated 4.5 million people in the UK have diabetes and the UK Government spends £10 billion per annum on the treatment and management of diabetes and diabetes related illness. It’s an extremely serious disease affecting both the macro and microvasculature leading to increased risk of heart disease, strokes, diabetic retinopathy, kidney failure and amputations.

Applicants must hold: a UK undergraduate (Bachelors) degree with at least first class or upper second class honours in a subject relevant to the subject or an equivalent qualification from a recognised overseas institution. In addition, all applicants for research degree programmes are required to satisfy the English language entry requirements.

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Open to UK, EU and Overseas Students
Tuition Fees included (capped at UK/EU fee level)
Stipend/Living allowance: £15,000 per annum
Start date – As soon as possible
Duration: 36 months
Reference: COS-SOP-2017-1

Closing Date: As soon as the position is filled.

Please send your CV and covering letter to Professor Herbert at therbert@lincoln.ac.uk.


Lincoln Institute for Agri-Food Technology (LIAT)

PhD Studentship: 'Optimising the light recipe for maximum photosynthesis, yield and quality in strawberry productivity'

University of Lincoln in partnership with the National Institute of Agricultural Botany (NIAB)

The Biotechnology and Biological Sciences Research Council (BBSRC) have awarded a Collaborative Training Partnership (CTP) grant to a consortium led by Berry Gardens Growers Ltd and NIAB EMR. The Collaborative Training Partnership for Fruit Crop Research (www.ctp-fcr.org) focuses on research and development on important fruit crops in the UK. We have been awarded funding for three additional PhD studentships under the NPIF (National Productivity Investment Fund) scheme, which supports the UK Industrial Strategy. These PhD studentships are available to start from October 2017 and will last four years.

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Lincoln Institute for Agri-Food Technology (LIAT)

PhD Studentship: 'Application of novel machine learning techniques and high speed 3D vision algorithms for real time detection of fruit'

University of Lincoln in partnership with the National Institute of Agricultural Botany (NIAB)

The Biotechnology and Biological Sciences Research Council (BBSRC) have awarded a Collaborative Training Partnership (CTP) grant to a consortium led by Berry Gardens Growers Ltd and NIAB EMR. The Collaborative Training Partnership for Fruit Crop Research (www.ctp-fcr.org) focuses on research and development on important fruit crops in the UK. We have been awarded funding for three additional PhD studentships under the NPIF (National Productivity Investment Fund) scheme, which supports the UK Industrial Strategy. These PhD studentships are available to start from October 2017 and will last four years.

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