join the programme in September 2018

Limited Opportunities Available! Deadline is 5pm Friday 20th July 2018

apply for studentships in Artificial Intelligence and Machine learning

With funding from the National Productivity Investment Fund (NPIF), for September 2018 we are offering six 4-year PhD studentships to develop and apply artificial intelligence, machine learning, and ‘big data’ analytics to problems in biology.

Available Projects

  • Inferring gene function for emerging model organisms
  • Using Machine Learning to Anticipate Antimicrobial Resistance for Pathogen Surveillance and Therapeutic Stewardship
  • Mapping human brain development at new spatial resolutions using machine learning and 7T MRI
  • Exploring protein sequence/structure design by combining AI and synthetic biology techniques
  • Automated High-throughput Analysis of Gene Expression Codes in a Food Sensing Neuroendocrine Network
  • Deep learning meets deep sequencing: Capturing dynamic features of lymph node antibody repertoires using deep learning architectures
  • Recreating the neural basis for speech perception through machine learning
  • Application and validation of machine-learning frameworks on big functional datasets to identify proteins important for cellular ageing
  • Statistical classification of healthy and diseased tissues using Raman images: simultaneously exploiting morphological and biochemical features
  • Reverse engineering cell competition using automated microscopy and deep learning
  • Synthesis of dynamic locomotor behaviours using deep learning applied to realistic musculoskeletal models of bipedal and quadrupedal animals
  • Content-Aware AI Driven Super-Resolution Microscopy

Applications range across speech recognition, computational neuroscience, locomotion/biomechanics, genomics, proteomics, bioinformatics, cell biology, imaging technologies, computer vision, and protein structure prediction. A number of projects have industrial partners, including DeepMind and Benevolent AI.
Click here for more information about some of the projects. Details about all projects, as well as the chance to meet with supervisors will be available before candidates select a project preference.

The application deadline is 5pm Friday 20th July 2018. Studentships will be awarded competitively following a two-stage interview process. First-stage ‘general’ interviews will be held on Friday 27th July 2018. Highly-ranked interviewees from the first-stage will subsequently be invited to interview by supervisors of the projects in which they have expressed an interest.

Applicants must hold, or be expected to achieve, a first or high upper second-class honours BSc/MSci degree or a Masters degree with Distinction (or equivalent). Given the nature of these projects, successful applicants must be able to demonstrate prior high achievement in computational/mathematical taught courses and/or research projects.

apply for industrial collaborative studentships

We are also recruiting for the following industrial collaborative projects starting in September 2018. Please click the link below for full information. Applicants are welcome to apply for both the above DTP call and iCASE projects.

All students will join a large and engaged cohort of students receiving advanced training in fundamental and advanced mathematical, computational and statistical skills for interdisciplinary and systems biology research. The extraordinary teaching and research-intensive environment is complemented by a framework of cohort building activities, culminating each year in an academic retreat for the students. This popular residential event is designed and planned by the students, for the students. All studentship holders will be required to either spend three months undertaking a professional internship or a period of time with their industrial partner during their studies.

The available studentships include tuition fees at (UK/EU level) and a tax-free stipend in the region of £16,553. Usual BBSRC eligibility rules apply with the exception that EU students not currently resident in the UK are also welcome to submit an application for funded places and offers may be made subject to BBSRC approval.

Download BOTH sections of the Application Form here: