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Scientist opening at the Allen Institute: "Simulation & Analysis of Human Circuit Dynamics"
by Costas Anastassiou Dec. 7, 2017

Dec. 7, 2017

Dear All: We are seeking a Scientist to be an essential team member in our ongoing effort to understand how the human brain processes information. The core responsibility for this position is to setup large-scale computational simulations and data analysis workflows from slice and in vivo brain physiology in humans. Find the full job description attached below. To apply for this position, apply through the link below: https://apply.hrmdirect.com/resumedirect/ApplyOnline/Apply.aspx?req_id=6535… Best, Costas -- Costas Anastassiou Assistant Investigator T: 206.548.8434 E: costasa(a)alleninstitute.org alleninstitute.org Professor (adj.) of Neurology University of British Columbia, Vancouver BC, CA http://neuroscience.ubc.ca/people/Anastassiou Our mission at the Allen Institute for Brain Science is to accelerate the understanding of how the human brain works in health and disease. By implementing a team science approach on a large scale, we strive to generate useful public resources, drive technological innovations and discover fundamental brain properties through integration of experiments, modeling and theory. POSITION SUMMARY We are seeking a Scientist to be an essential team member in our ongoing effort to understand how the human brain processes information. The core responsibility for this position is to setup large-scale computational simulations and data analysis workflows from slice and in vivo brain physiology in humans. More specifically, the Scientist will (i) design and conduct simulations with an existing large-scale computational framework allowing simulation of a multitude of reconstructed, interconnected and biophysically realistic human neurons (e.g. [Schomburg, Anastassiou et al, J Neurosci, 2012; Reimann, Anastassiou et al, Neuron, 2013]; (ii) analyze simulated and experimental data to establish structure-function relationships (e.g. [Taxidis, Anastassiou et al, Neuron, 2015]); (iii) develop dimensionally reduced representations of neural function (e.g. using machine learning or statistical data modeling) based on recorded signals (encoding) and develop methods for reconstructing! neural function from neural activity (decoding); (iv) compare computational findings with experimental observables. ESSENTIAL DUTIES AND RESPONSIBILITIES In close collaboration with theoreticians and experimental colleagues, design, implement and conduct single-neuron and large-scale network simulations of human middle temporal gyrus. Contribute to ongoing efforts in computational framework development (simulation and data analysis) as well as to scientific questions relevant to the system under investigation. Contribute to adjacent projects related to human pathophysiology and neurotherapies. Publish/present findings in peer-reviewed journals/scientific conferences. Prepare written and oral reports on a regular basis. Maintain clear and accurate communication with supervisor, team members and external collaborators. BASIC QUALIFICATIONS PhD degree in computational neuroscience, physics, applied mathematics, bioengineering or related field. Strong background in scientific computing; experience in computational neuroscience is preferred, but other strong applicants will be considered (with background in computational physics, applied mathematics, biophysics, and related disciplines). Experience with parallel computing is a plus as well as familiarity with high-level programming languages such as Python. Familiarity with in vitro and in vivo electrophysiological monitoring techniques and analysis. DESIRED QUALIFICATIONS: Ability to meet aggressive timelines and deliverables in a collaborative environment. Strong publication record. Experience in pursuing research projects in collaborative fashion. Proven independent thinking and flexibility. Strong written and verbal communication skills.

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[SUSPECTED SPAM] PhD at Florida Atlantic Universitys Center for Complex Systems and Brain Sciences
by Emmanuelle Tognoli Dec. 7, 2017

Dec. 7, 2017

Applications are currently being accepted for fully funded multidisciplinary PhD training in Complex Systems & Brain Sciences (http://www.ccs.fau.edu/phd_overview.php) at Florida Atlantic University. Students will be trained to perform cutting-edge brain research that combines neuro-behavioral and cognitive experiments, laboratory neurobiology, medical imaging, and computational/theoretical modeling. Research projects will focus on approaches to understanding the brain as a complex dynamical system, with possible concentrations in areas such as cognitive, developmental, social, and systems neuroscience, neurorobotics, molecular and cellular neurobiology, and neuronal regeneration. Individuals with undergraduate degrees in any pertinent discipline are invited to apply. Two routes are available to enter the PhD program: the Graduate Neuroscience Training Program (http://www.ibrain.fau.edu/gradneuro/) or directly into the core program from the Center for Complex Systems & Brain Sciences (http://www.ccs.fau.edu/requirements.php) Applicants should review both tracks to determine which one best suits their interests. Students may also submit applications to both tracks. Application deadline for the Graduate Neuroscience Training Program: December 11, 2017 Application deadline for the core PhD program in Complex Systems & Brain Sciences: January 15, 2018 -- This message has been scanned for viruses and dangerous content by MailScanner, and is believed to be clean. -- This message has been scanned for viruses and dangerous content by MailScanner, and is believed to be clean.

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Fully-funded four-year PhD studentship in Computational Neuroscience at Imperial College London
by Reichenbach, Johann D T Dec. 6, 2017

Dec. 6, 2017

An exciting PhD project in Computational Multisensory Neuroscience is available for UK/EU candidates in the group of Tobias Reichenbach (http://www.bg.ic.ac.uk/research/reichenbach/index.html) at Imperial College London. The student will develop state-of-the art neuronal network models to investigate the effects of custom-build tactile stimuli on speech processing. The model development and results will be linked with neuroimaging and behavioural experiments, and will pave the way to aid speech comprehension in people with hearing impairments. The PhD position is part of the Center for Neurotechnology (http://www.imperial.ac.uk/neurotechnology/cdt) at Imperial College London. The successful candidate will join an international cohort of PhD students working on cutting-edge topics of computational and experimental neuroscience and engineering. To apply please visit the Centre's project page (http://www.imperial.ac.uk/neurotechnology/cdt/projects/) access the tab "Projects available for Oct 2018" and select the project "Engineering tactile signals to aid hearing in noisy backgrounds.” ------------------------------------------- Tobias Reichenbach Senior Lecturer (Associate Professor) Department of Bioengineering Imperial College London South Kensington Campus SW7 2AZ London, UK http://www.bg.ic.ac.uk/research/reichenbach/

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PhD or postdoctoral position at the Max Planck Institute for Biological Cybernetics in Tübingen, Germany
by Filip Sobczak Dec. 5, 2017

Dec. 5, 2017

Dear Colleagues, The Department of High-field Magnetic Resonance at the Max Plank Institute for Biological Cybernetics in Tübingen is offering one PhD or postdoctoral position under the supervision of Dr. Xin Yu (Group Leader at MPI for Biological Cybernetics). This position is open now until filled, starting in Jan, 2018. Research Description: Understand and learn to control the brain circuits underlying critical brain states, such as coma or arousal. Potential assignment: a) Build up a real-time bio-feedback controlling system for brain functional studies: i) Neural network system-based signal processing, ii) MR-guided robotic system development, iii) Machine learning-based multi-modal brain signal dynamic prediction. b) Implement the MRI/EEG/calcium recording methods for global brain state monitoring. c) Target specific nuclei with deep brain optogenetic stimulation methods to study circuit-specific brain state neuromodulation: hippocampus, lateral hypothalamus, and VTA. Students with strong computational skills are highly encouraged to apply for this position. Experience with viral transfection, or in vivo. / in vitro. electrophysiology in animal models (rodents) with brain injury is highly desirable. The candidates should bear a certain experience or strong interest in brain functional imaging, e.g. task-based BOLD fMRI. The Max Plank Institute for Biological Cybernetics is located in Tübingen, Germany. The High-field Magnetic Resonance Department is equipped with the 3T, 9.4T human MR scanner and 14.1T animal Bruker MR Scanner. The Max Planck Society is an affirmative action/equal opportunity employer, and encourages applications from qualified women and minority candidates. Please send your CV (in English) to Dr. Yu (E-mail: xin.yu(a)tuebingen.mpg.de ). Dr. Yu has published seminal papers on high field MRI functional brain mapping in Nature Neuroscience, Nature Methods, Neuron, PNAS, NeuroImage etc.

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Postdoctoral Associate Positions in Computational Psychiatry, Virginia Tech Carilion Research Institute
by Pearl Chiu Dec. 4, 2017

Dec. 4, 2017

Postdoctoral Associate Positions in Computational Psychiatry Virginia Tech Carilion Research Institute Multiple postdoctoral associate positions are available immediately in the labs of Dr. Pearl Chiu and Dr. Brooks King-Casas at the Virginia Tech Carilion Research Institute (http://research.vtc.vt.edu/) Projects in the labs use fMRI to examine the neuroscience of motivated behavior and social influences on decision-making with methods from behavioral & computational neuroscience, experimental economics, computational psychiatry, and psychology; ongoing projects examine processes in healthy and psychiatric individuals. Qualified candidates with basic science, theoretical, and/or computational backgrounds are welcome, and training in applied science will be provided; a subset of projects also involve multi-dimensional biomarker development. For interested candidates, the labs provide plentiful opportunities to examine how neurobehavioral anomalies may be quantified and rehabilitated in depression, substance dependence, post-traumatic stress, personality disorders, and at-risk adolescents. The labs are located in the Virginia Tech Carilion Research Institute in Roanoke, VA, just off the Blue Ridge Parkway. The VTCRI provides full access to outstanding infrastructure, including three research-dedicated Siemens 3T scanners and a high-throughput computing cluster. The successful candidate will play a lead role in highly collaborative multidisciplinary scientific efforts. Minimum requirements for the position include: 1) a PhD in computational or cognitive neuroscience, engineering, psychology, experimental economics, or a related field; 2) facility with computational neuroscience, signal processing, Bayesian inference, or machine learning; and 3) demonstrated potential for excellence. Please forward a statement of interest and CV. Three letters of recommendation will be requested from candidates under final consideration. Consideration of applications will begin immediately and will end when the positions are filled. Salary is competitive and will be commensurate with experience and qualifications. Virginia Tech Carilion is an Affirmative Action/Equal Opportunity employer and is committed to cultural diversity and compliance with the Americans with Disabilities Act. Send inquiries and materials to: Pearl Chiu, PhD and Brooks King-Casas, PhD chiup(a)vtc.vt.edu<mailto:chiup@vtc.vt.edu> and bkcasas(a)vtc.vt.edu<mailto:bkcasas@vtc.vt.edu>

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1 PhD/PostDoc position in neuromorphic systems
by elisabetta chicca Dec. 4, 2017

Dec. 4, 2017

Dear colleagues, 1 PhD/PostDoc position is available at the Neuromorphic Behaving Systems group (https://www.cit-ec.de/en/nbs) Faculty of Technology and Center of Excellence Cognitive Interaction Technology at Bielefeld University. You can find details here: http://uni-bielefeld.de/Universitaet/Aktuelles/Stellenausschreibungen/Anzei… Best regards, Elisabetta Chicca -- Prof. Dr. Elisabetta Chicca CITEC - Bielefeld University Inspiration 1 33619 Bielefeld - Germany Tel.: +49 521 106-12043 Fax : +49 521 106-12348

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Master 2 internship
by Bruno Cessac Dec. 4, 2017

Dec. 4, 2017

Decoding cortical activity evoked by artificial retinal implants The NeOpTo team (Institut des Neurosciences de la Timone, Marseille, France) and the Biovision Team (Inria, Sophia Antipolis, France) propose a joint Master 2 internship, entitled "Decoding cortical activity evoked by artificial retinal implants" from March 2018 to August 2018. The details of the internship can be found here https://team.inria.fr/biovision/files/2017/11/StageINT.pdf To apply, please send us a CV, a letter of application outlining your academic interests, prior research experience and reasons for wishing to undertake the project, a transcript(s) giving full details of subjects studied and grades/marks obtained. Dr Bruno Cessac, Research Director at INRIA, Head of the BioVision team -INRIA 2004 Route des Lucioles-BP93 FR-06902 Sophia Antipolis Cedex

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PhD position at the University of Exeter
by Tsaneva-Atanasova, Krasimira Dec. 2, 2017

Dec. 2, 2017

Mathematical Modelling of Event-Related Potentials in Semantic Representation and Memory - Mathematics - EPSRC DTP funded PhD Studentship Ref: 2891 About the award This project is one of a number funded by the Engineering and Physical Sciences Research Council (EPSRC<https://www.epsrc.ac.uk/skills/students/>) Doctoral Training Partnership to commence in September 2018. This project is in direct competition with others for funding; the projects which receive the best applicants will be awarded the funding. The studentships will provide funding for a stipend which is currently £14,553 per annum for 2017-2018. It will provide research costs and UK/EU tuition fees at Research Council UK rates for 42 months (3.5 years) for full-time students, pro rata for part-time students. Please note that of the total number of projects within the competition, up to 15 studentships will be filled. Supervisors Professor Krasimira Tsaneva-Atanasova<http://emps.exeter.ac.uk/mathematics/staff/kt298> Location Streatham Campus, Exeter Project Description N400 is an event-related potential (ERP) component that tap into semantic representation and memory and is an important markers of cognitive function, hence valuable clinical tools for quantifying integrity of the semantic system in populations with semantic comprehension deficit including stroke survivors, patients with traumatic brain injuries (TBI) or focal seizure disorders. Yet the neural origin of this component is largely unknown, which limits robustness of its measurement and clinical applicability. This project investigates the origin of N400, i.e., whether it emerges as a result of phase alignment in the ongoing oscillatory activity or as a result of an evoked neural activity. In the first stage of the project, the student will explore the neural dynamics of N400 by applying model-based data analysis and feature extraction to already collected in the second supervisor’s lab in Bristol human scalp electroencephalogram (EEG) data from healthy younger and older people responding to meaningful stimuli such as words, sentences or pictures of objects. This analysis will inform data-driven generative model(s) parameterization. In the second stage, the network models developed in stage 1 will be perturbed to identify the parameters (features) for conditions such as stroke and traumatic brain injuries (TBI). The final stage of the project will aim to link the event-related response with the underlying induced and evoked activity and to further investigate this activity using learning in the model space approach. There is a potential to reveal therapeutic targets for stroke and TBI. Entry Requirements You should have or expect to achieve at least a 2:1 Honours degree, or equivalent, in applied mathematics, computer science, physics or engineering. Experience in biomedical engineering or experimental psychology is desirable. The majority of the studentships are available for applicants who are ordinarily resident in the UK and are classed as UK/EU for tuition fee purposes. If you have not resided in the UK for at least 3 years prior to the start of the studentship, you are not eligible for a maintenance allowance so you would need an alternative source of funding for living costs. To be eligible for fees-only funding you must be ordinarily resident in a member state of the EU. For information on EPSRC residency criteria click here<https://www.epsrc.ac.uk/skills/students/help/eligibility/>. Applicants who are classed as International for tuition fee purposes are NOT eligible for funding. International students interested in studying at the University of Exeter should search our funding database<http://www.exeter.ac.uk/postgraduate/money/fundingsearch/> for alternative options. Summary Application deadline: 10th January 2018 Value: 3.5 year studentship: UK/EU tuition fees and an annual maintenance allowance at current Research Council rate. Current rate of £14,553 per year. Duration of award: per year Contact: Doctoral College pgrenquiries(a)exeter.ac.uk<mailto:pgrenquiries@exeter.ac.uk> How to apply Apply now You will be required to upload the following documents: • CV • Letter of application outlining your academic interests, prior research experience and reasons for wishing to undertake the project. • Transcript(s) giving full details of subjects studied and grades/marks obtained. This should be an interim transcript if you are still studying. • If you are not a national of a majority English-speaking country you will need to submit evidence of your current proficiency in English. For further details of the University’s English language requirements please see http://www.exeter.ac.uk/postgraduate/apply/english/. The closing date for applications is midnight (GMT) on Wednesday 10 January 2018. Interviews will be held at the University of Exeter in late February 2018. If you have any general enquiries about the application process please email: pgrenquiries(a)exeter.ac.uk<mailto:pgrenquiries@exeter.ac.uk>. Project-specific queries should be directed to the supervisor. ________________________________ Krasimira Tsaneva-Atanasova Professor of Mathematics for Healthcare Department of Mathematics & Living Systems Institute, T02.17 University of Exeter, Stocker Road, Exeter, EX4 4QD, UK email: k.tsaneva-atanasova(a)exeter.ac.uk<mailto:k.tsaneva-atanasova@exeter.ac.uk> tel: +44 (0) 1392 723615 web: http://emps.exeter.ac.uk/mathematics/staff/kt298

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PhD position at the University of Exeter
by Tsaneva-Atanasova, Krasimira Dec. 2, 2017

Dec. 2, 2017

Developing Gaze Training for Skilled Upper-Limb Prosthetic Use - Mathematics - EPSRC DTP funded PhD Studentship Ref: 2892 About the award This project is one of a number funded by the Engineering and Physical Sciences Research Council (EPSRC<https://www.epsrc.ac.uk/skills/students/>) Doctoral Training Partnership to commence in September 2018. This project is in direct competition with others for funding; the projects which receive the best applicants will be awarded the funding. The studentships will provide funding for a stipend which is currently £14,553 per annum for 2017-2018. It will provide research costs and UK/EU tuition fees at Research Council UK rates for 42 months (3.5 years) for full-time students, pro rata for part-time students. Please note that of the total number of projects within the competition, up to 15 studentships will be filled. Supervisors Professor Krasimira Tsaneva-Atanasova<http://emps.exeter.ac.uk/mathematics/staff/kt298> Dr Gavin Buckingham<http://sshs.exeter.ac.uk/staff/index.php?web_id=Gavin_Buckingham> Dr Sam Vine<http://sshs.exeter.ac.uk/staff/index.php?web_id=Samuel_Vine> Professor Mark Wilson<http://sshs.exeter.ac.uk/staff/index.php?web_id=Mark_Wilson> Location Streatham Campus, Exeter Project Description Learning to use a prosthetic limb is inherently difficult and requires a huge amount of concentration. Like learning how to wield a new tool for the first time, amputees need to acquire the confidence and dexterity required for skilled action. In order to produce accurate goal-directed movements the motor system requires accurate and timely visual information making the timing and location of the person’s gaze, with relation to the movement of their limbs, critical for skilled behaviour. There is, however, no structured training protocol for use with prosthetic hands. We aim to develop a novel gaze training regime to facilitate the use of a prosthetic hand to skilfully interact with objects. In the first phase of the project, the student will undertake an observational study to determine what factors lead some individuals to become skilled with a prosthesis faster than others. We will test large numbers of intact (i.e., without amputation) participants learning to use a state-of-the-art myoelectric prosthetic arm simulator, which is controlled by muscle feedback but ergonomically designed to fit over the wrist of an intact hand. Participants will move objects of different of sizes and weights from one location to another with a range of precision requirements and in the presence of a range of obstacles. Over multiple sessions we will measure hand and object kinematics, fingertip forces, and eye path with a head-mounted eye tracker. We will then develop a data-driven mathematical model of the eye tracking and biomechanical performance data. Statistical analysis of the patterns of eye movement will provide new insights into the ‘signature’ of good performance using the prosthetic arm. The second phase will use the data from Project 1 to develop a training protocol that will adopt the ‘expert signatures’ from Phase 1 as a prototype for a trainee to follow. We will focus predominantly on the signature of expertise derived from the gaze behaviour measures and implement a gaze training protocol. We will then test the efficacy of this novel training regime with new set of intact participants using the prosthetic simulator, tracking their performance in comparison to individuals who will receive a sham training protocol. In the final phase of the project, the gaze training protocol will be used in a sample of upper-limb-amputees as they learn how to use their new prosthesis. As this stage of the project will not be limited to myoelectric prosthetic users, this will also allow us to test the generalizability of our training protocol. Entry Requirements You should have or expect to achieve at least a 2:1 Honours degree, or equivalent, in applied mathematics, computer science, physics or engineering. Experience in biomedical engineering or robotics is desirable. The majority of the studentships are available for applicants who are ordinarily resident in the UK and are classed as UK/EU for tuition fee purposes. If you have not resided in the UK for at least 3 years prior to the start of the studentship, you are not eligible for a maintenance allowance so you would need an alternative source of funding for living costs. To be eligible for fees-only funding you must be ordinarily resident in a member state of the EU. For information on EPSRC residency criteria click here<https://www.epsrc.ac.uk/skills/students/help/eligibility/>. Applicants who are classed as International for tuition fee purposes are NOT eligible for funding. International students interested in studying at the University of Exeter should search our funding database<http://www.exeter.ac.uk/postgraduate/money/fundingsearch/> for alternative options. Summary Application deadline: 10th January 2018 Value: 3.5 year studentship: UK/EU tuition fees and an annual maintenance allowance at current Research Council rate. Current rate of £14,553 per year. Duration of award: per year Contact: Doctoral College pgrenquiries(a)exeter.ac.uk<mailto:pgrenquiries@exeter.ac.uk> How to apply Apply now You will be required to upload the following documents: • CV • Letter of application outlining your academic interests, prior research experience and reasons for wishing to undertake the project. • Transcript(s) giving full details of subjects studied and grades/marks obtained. This should be an interim transcript if you are still studying. • If you are not a national of a majority English-speaking country you will need to submit evidence of your current proficiency in English. For further details of the University’s English language requirements please see http://www.exeter.ac.uk/postgraduate/apply/english/. The closing date for applications is midnight (GMT) on Wednesday 10 January 2018. Interviews will be held at the University of Exeter in late February 2018. If you have any general enquiries about the application process please email: pgrenquiries(a)exeter.ac.uk<mailto:pgrenquiries@exeter.ac.uk>. Project-specific queries should be directed to the supervisor. ________________________________ Krasimira Tsaneva-Atanasova Professor of Mathematics for Healthcare Department of Mathematics & Living Systems Institute, T02.17 University of Exeter, Stocker Road, Exeter, EX4 4QD, UK email: k.tsaneva-atanasova(a)exeter.ac.uk<mailto:k.tsaneva-atanasova@exeter.ac.uk> tel: +44 (0) 1392 723615 web: http://emps.exeter.ac.uk/mathematics/staff/kt298

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PhD position at the University of Exeter
by Tsaneva-Atanasova, Krasimira Dec. 2, 2017

Dec. 2, 2017

Understanding Emergent Complex Noisy Patterns in Biological Cells - Mathematics - EPSRC DTP funded PhD Studentship Ref: 2890 About the award This project is one of a number funded by the Engineering and Physical Sciences Research Council (EPSRC<https://www.epsrc.ac.uk/skills/students/>) Doctoral Training Partnership to commence in September 2018. This project is in direct competition with others for funding; the projects which receive the best applicants will be awarded the funding. The studentships will provide funding for a stipend which is currently £14,553 per annum for 2017-2018. It will provide research costs and UK/EU tuition fees at Research Council UK rates for 42 months (3.5 years) for full-time students, pro rata for part-time students. Please note that of the total number of projects within the competition, up to 15 studentships will be filled. Supervisors Associate Professor Jan Sieber<http://emps.exeter.ac.uk/mathematics/staff/js543> Prof Krasimira Tsaneva-Atanasova<https://emps.exeter.ac.uk/mathematics/staff/kt298> Dr Joel Tabak<http://medicine.exeter.ac.uk/people/profile/index.php?web_id=Joel_Tabak-Szn…> Location Streatham Campus, Exeter Project Description One of the most fascinating phenomena in nature is that small random disturbances can create systematic large-scale patterns of motion. Mathematically, this is described by the theory of nonlinear dynamics. One essential process governed by this theory is electrical signalling in animal and plant cells. Biological cells communicate with periodic or more complex patterns of electrical signals that underlie thinking, hormone release or muscle movement. These patterns are extremely sensitive to various types of noise present in cells such as rapid fluctuations and slow random drift. A general mathematical question is how precisely the different types of small noise perturbations influence the emergent patterns in nonlinear systems. Applications of the insights gained from mathematical analysis to understanding and controlling living cells would allow us to inform novel therapies for hormonal or neural disorders such as chronic stress response or essential tremor for example. Traditionally, mathematical modelling of cells has been applied to idealised, noise-free models. This funded PhD studentship will investigate how small noise drives and controls periodic and non-periodic patterns in general, and specifically in excitable cell models and experiments. The student will design a method to remove noise from emergent electrical patterns, using techniques from dynamical systems theory and feedback control theory. Joel Tabak (one of the project supervisors) has developed a proof of concept methodology for periodic patterns that is similar to what is used in noise-cancelling headphones, but uses concepts from dynamical systems to determine the perturbing noise. Being able to remove noise will allow us to compare the patterns in noisy and noise-free conditions. This will help scientists understanding how noise controls electrical patterns in many types of electrically active cells. The student will design further new methods for removing noise in mathematical models (ordinary differential equations) of electrically active cells. The PhD studentship will benefit from close collaboration with Joel Tabak’s neuroscience laboratory. This laboratory is able to perform experiments with live cells in real time using electrical signals in dynamic clamp experiments. Thus, the student will have the opportunity to immediately test how their methods perform in a real biological system, and use the experimental results as a guide to refine their methodology. By interacting with experimental researchers, the student will also gain important experience in working within a multidisciplinary scientific team. Depending on the student’s interests and progress during the PhD studentship, there will also be the opportunity to learn electrophysiology in order to record the electrical activity from live cells. This project would suit a student keen to 1) learn and apply new maths concepts (nonlinear dynamical systems, multi-scale analysis, stochastic processes); 2) interact with people from different scientific fields; and 3) present their results at national and international conferences. Entry Requirements You should have or expect to achieve at least a 2:1 Honours degree, or equivalent, in mathematics or a natural sciences or engineering programme with a strong quantitative component. Experience in nonlinear dynamics, mathematical biology or probability, and some programming experience are desirable. The majority of the studentships are available for applicants who are ordinarily resident in the UK and are classed as UK/EU for tuition fee purposes. If you have not resided in the UK for at least 3 years prior to the start of the studentship, you are not eligible for a maintenance allowance so you would need an alternative source of funding for living costs. To be eligible for fees-only funding you must be ordinarily resident in a member state of the EU. For information on EPSRC residency criteria click here<https://www.epsrc.ac.uk/skills/students/help/eligibility/>. Applicants who are classed as International for tuition fee purposes are NOT eligible for funding. International students interested in studying at the University of Exeter should search our funding database<http://www.exeter.ac.uk/postgraduate/money/fundingsearch/> for alternative options. Summary Application deadline: 10th January 2018 Value: 3.5 year studentship: UK/EU tuition fees and an annual maintenance allowance at current Research Council rate. Current rate of £14,553 per year. Duration of award: per year Contact: Doctoral College pgrenquiries(a)exeter.ac.uk<mailto:pgrenquiries@exeter.ac.uk> How to apply Apply now You will be required to upload the following documents: • CV • Letter of application outlining your academic interests, prior research experience and reasons for wishing to undertake the project. • Transcript(s) giving full details of subjects studied and grades/marks obtained. This should be an interim transcript if you are still studying. • If you are not a national of a majority English-speaking country you will need to submit evidence of your current proficiency in English. For further details of the University’s English language requirements please see http://www.exeter.ac.uk/postgraduate/apply/english/. The closing date for applications is midnight (GMT) on Wednesday 10 January 2018. Interviews will be held at the University of Exeter in late February 2018. If you have any general enquiries about the application process please email: pgrenquiries(a)exeter.ac.uk<mailto:pgrenquiries@exeter.ac.uk>. Project-specific queries should be directed to the supervisor. ________________________________ Krasimira Tsaneva-Atanasova Professor of Mathematics for Healthcare Department of Mathematics & Living Systems Institute, T02.17 University of Exeter, Stocker Road, Exeter, EX4 4QD, UK email: k.tsaneva-atanasova(a)exeter.ac.uk<mailto:k.tsaneva-atanasova@exeter.ac.uk> tel: +44 (0) 1392 723615 web: http://emps.exeter.ac.uk/mathematics/staff/kt298 ________________________________ Krasimira Tsaneva-Atanasova Professor of Mathematics for Healthcare Department of Mathematics & Living Systems Institute, T02.17 University of Exeter, Stocker Road, Exeter, EX4 4QD, UK email: k.tsaneva-atanasova(a)exeter.ac.uk<mailto:k.tsaneva-atanasova@exeter.ac.uk> tel: +44 (0) 1392 723615 web: http://emps.exeter.ac.uk/mathematics/staff/kt298

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