PhD Studentships currently available:
PhD in Plant Epigenetics and Regeneration
Four-year fully funded PhD position in the group of Dr Jie Song, at the Department of Life Sciences, Imperial College London
This project is focused on the investigation of regeneration at the chromatin level, in the model plant Arabidopsis. In a multicellular organism, cells are differentiated throughout development. The information of cell identity is heritable and is coded beyond the DNA sequence, e.g. by Polycomb-based chromatin modifications. In plants, however, this epigenetic memory can be wiped off and adults can regain stem cell properties to enable regeneration. The student will study the antagonistic mechanisms, silencing by Polycomb and gene reactivation by epigenetic reprogramming. The student will also develop novel tools to manipulate this process, which will be useful in both fundamental research and the biotechnology industry.
Informal inquiries are welcome and should be sent to Dr Song (email@example.com).
The candidate is normally expected to have a BSc degree at 2:1 level or better and a Masters degree at Merit level or better, by October 2018. Exceptional candidates without a Masters degree may be considered.
How to apply:
Please email Dr Song (firstname.lastname@example.org) and include in your application:
• A cover letter
• Your CV
• All available transcripts
• Arrange for three references to be send directly from the referees
Applications are accepted until the position is filled.
The studentship is funded by the Royal Society. It will cover the cost of university fees at UK/EU rate (£4,195 p.a) and the student’s stipend (approx. £16,5K p.a.).
4 year iCASE PhD studentship On-Column Monitoring of Protein Purification by Spectroscopic Techniques
4 year iCASE PhD studentship
On-Column Monitoring of Protein Purification by Spectroscopic Techniques: Professor Bernadette Byrne and Professor Sergei Kazarian
Applications are invited for a 4 year iCASE PhD studentship position fully funded by the BBSRC and GSK and based in the Departments of Life Sciences and Chemical Engineering at Imperial College London.
Monoclonal antibodies (mAbs) represent effective therapies for the treatment of a range of chronic and life threating diseases including rheumatoid arthritis and cancer. However, the cost of production of therapeutic antibodies is significantly higher than small molecule drugs, mainly due to the complex isolation process which involves a very expensive Protein A affinity capture step.
This project builds on our previous research showing the power of Attenuated Total Reflection Fourier Transform Infrared spectroscopy (ATR-FTIR) for probing the build-up of contaminants and the effects of cleaning protocols on resin life span using ex situ resin beads and a microfluidic set up (Boulet-Audet et al. 2015, Analytical Bioanalytical Chemistry 407, 7111–7122; Boulet-Audet et al, 2016, Scientific Reports 6, 30526). This project focuses on the further development of novel spectroscopic approaches to directly monitor the Protein A affinity capture step, on-column. For this we can use Raman spectroscopy, where a laser beam will probe through a small window in the column and the backscattering produced will be used in confocal mode giving information on what changes are taking place at a range of depths (up to ca. 200 µm with steps of 1-3 µm). In this project, we also aim to explore linking a single column with focal plane array detector for FTIR imaging, allowing multiplexing of many signals from different locations in a column simultaneously. The findings from these studies will provide novel insights into the causes and cures of resin decay and validate new systems with the potential to be of widespread use to industry. This project will provide excellent training for the student in areas as diverse as biopharmaceuticals, protein purification, chromatography, Raman spectroscopy and FTIR spectroscopic imaging and will include a secondment to GSK.
Applicants should have a BSc in Chemistry/Chemical Engineering or related discipline, at 2:1 level or better, and an associated Masters degree or an equivalent level of professional qualifications or experience. Knowledge and experience of relevant spectroscopic techniques is highly desirable but not essential.
UK or EU candidates, who have lived in the UK for 3 years, are eligible for this studentship.
Closing date for applications: 27th April 2018
Further details on this project are available from Professor Bernadette Byrne email@example.com and Professor Sergei G. Kazarian firstname.lastname@example.org. Information about the research groups is available at www.imperial.ac.uk/people/b.byrne and www.imperial.ac.uk/people/s.kazarian.
EPSRC funded 3 year PhD studentship.
EPSRC funded 3 year PhD studentship.
A 3-year EPSRC funded PhD studentship is available, starting from October 2018, to work in the laboratory of Giorgio Gilestro, in the Department of Life Sciences at Imperial College London. The candidate will be an enthusiastic student, passionate about science and interested in solving some of the most puzzling problems of neuroscience.
The main research focus of the laboratory is to uncover the yet mysterious function of sleep, but we also have projects on behavioural neurobiology and bioinformatics. Most projects belong to wider collaborative enterprises between our laboratory and partner laboratories in the Computer Science and Bioengineering Departments of Imperial College London, one of the best Universities in the world, located right in the heart of London.
Previous work of the lab in the field of bioinformatics and computational biology include:
- doi://10.1093/bioinformatics/btp237 and https://www.pysolo.net
- doi://10.1371/journal.pbio.2003026 and https://lab.gilest.ro/ethoscope
The Department of Life Sciences is a leading department of Biological Sciences among UK Universities and has consistently been awarded the highest research rating. In the 2014 REF assessment, the Department was ranked first in the Research Intensity table compiled by The Times Higher Education.
The candidates should have a strong background in quantitative sciences and an interest in neuroscience. The goal of the project is to apply machine learning to better understand sleep – and vice-versa. Some preliminary experience with programming and/or machine learning is required.
Candidates must have, by October 2018, a BSc at 2:1 level or better and, in addition, a Masters degree at Merit level or better. Exceptional candidates without a Masters degree might be considered. Only UK or EU nationals who have been resident in the UK for the last 3 years are eligible.
The studentship covers tuition fees and provides a tax-free stipend of about £16,700 per year.
To apply, please send a copy of your CV, a short paragraph describing your interests and your achievements to email@example.com
The deadline for applications is 30th June 2018. Informal enquiries are very welcome.