Systems Biology of Cell Cycle Control studentship

A PhD Studentship is available in the Systems Biology group of Dr. Matteo Barberis at the University of Surrey, to construct, analyse and simulate mathematical models of the molecular regulatory networks underlying a timely cell division cycle.

Start date
1 April 2020
Duration
36 months
Application deadline
Funding information

Fully funded project, with a stipend of approx. £15,000 per annum.

Funding source
The University of Surrey
Supervised by

About

A PhD Studentship is available in the Systems Biology group of Dr. Matteo Barberis at the University of Surrey, to construct, analyse and simulate mathematical models of the molecular regulatory networks underlying a timely cell division cycle. Many distinct cellular processes need to occur at definite times relative to one another; indeed, networks controlling cell division shall guarantee alternation between incompatible cell cycle phases. We are focusing on the balance of cellular activators and inhibitors, which can modulate the cell cycle network, and we have recently discovered molecular designs that are responsible for its precise timing (e.g. Linke et al. 2017, Nature NPJ Systems Biology and Applications, 3, 7). In particular, we aim to unravel principles of designs and patterns that can emerge from the complex network of interactions, which are responsible for a timely cell cycle.

We are seeking an enthusiastic and highly-motivated scientist with a Masters degree (or equivalent qualification) in systems biology, computational biology, biophysics, mathematical biology, engineering, control theory or closely aligned disciplines. Experience with at least two programming languages, such as Matlab, Mathematica and Python, and experience with software for simulation and analysis of biochemical networks, such as Copasi, is essential. Experience in systems biology projects and/or in mathematical modelling and analysis of biophysical/biochemical systems (e.g. deterministic modelling, nonlinear dynamics, parameter fitting, properties of dynamical systems across high-dimensional parameter spaces) is essential. Knowledge of methods for modelling biological networks and skills in bioinformatics, e.g. computational approaches to analyse ChIP-exo data and/or maintenance/development of a community database, are a great plus. Knowledge of biochemistry and molecular biology is appreciated.

Fluent English both spoken and written is required. Excellent communication skills, capacity to work in autonomy and in a team, and enthusiasm for exposure to a diversity of scientific projects, are essential. Participation in national and international collaborations is expected.

We offer to work in an international, multidisciplinary team of highly-motivated scientists where you are encouraged to develop your own ideas. Our laboratory is located at the beautiful campus of the University of Surrey, a top 10 UK University close to London. The University of Surrey is internationally recognized for its research in Systems Biology, and the candidate could engage in internal and external collaborations established in the group. We also provide a generous benefits package including final salary pension scheme, relocation provision, and access to world-class leisure facilities.

Informal enquiries should be addressed to Dr. Matteo Barberis.

Eligibility criteria

Candidates are expected to have a Masters qualification in a relevant subject. 

Non-native speakers of English will normally be required to have IELTS 7.5 or above (or equivalent) with 7.0 in each individual category.

How to apply

The applicant will need to apply through the Biosciences and Medicine PhD Course page. Please include a cover letter/personal statement, a detailed CV with Bachelors/Masters grades and publication list, and contact details for at least two references. Deadline for application is 31. January 2020. Interviews will start in February until the post is filled.


Application deadline

Contact details

Matteo Barberis
07 AX 01
Telephone: +44 (0)1483 684610
E-mail: m.barberis@surrey.ac.uk

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