[Job-offers-cs] Postdoctoral Research Fellow (data-driven analyses)

[Pekka Orponen]

-------- Forwarded Message --------
Subject: 	[SIAM-DY] Postdoctoral Research Fellow (data-driven analyses)
Date: 	Sun, 13 Sep 2020 16:00:28 +0000
From: 	Tsaneva, Krasimira <K.Tsaneva-Atanasova at exeter.ac.uk>
To: 	Pekka Orponen <pekka.orponen at aalto.fi>
CC: 	The Dynamical Systems SIAG mailing list <siam-dy at siam.org>

Dear Colleagues,

Would you please post the following ad below?

Thank you very much,
Krasimira Tsaneva-Atanasova


Postdoctoral Research Fellow
University of Exeter - College of Engineering, Mathematics & Physical 
Sciences
Location:Exeter
Salary:The starting salary will be from £35,845 up to £46,817 on Grade 
F, depending on qualifications and experience.
Hours:Full Time
Contract Type:Fixed-Term/Contract
Placed On:10th September 2020
Closes:22nd October 2020
Job Ref:P73409

The above full-time post is available from 1st February 2021 on a 
fixed-term basis until 31st July 2023 in the College of Engineering, 
Mathematics & Physical Sciences.

The post
The College wishes to recruit a Postdoctoral Research Fellow to 
participate in data-driven analyses of the effect antibiotics have on 
pathogenic bacteria when patients are subjected to long-term treatments 
in clinical settings. The successful applicant will liaise with 
infection clinicians (from Bristol, UK and Sydney, Australia) and 
quantitative scientists (from Exeter) to design 
appropriate methodologies for assessing changes (both phenotypic and 
genomic) in the antibiotic susceptibility profiles of human 
pathogens that arise during treatment. (S)he will also be responsible 
for communicating the results of quantitative studies back 
to collaborating clinical scientists.

The post will be tailored to the skills of the successful candidate but 
the role may include talking to patients; operating short and long-read 
bacterial whole genome-sequencing pipelines (possibly on HPC 
architectures); analysing whole-genome data to 
identify phenotype-genotype correlations using novel statistical 
methodologies; designing and implementing computational 
algorithms; collaborating with mathematicians, microbiologists and data 
scientists to develop quantitative methodologies for the benefit 
of infection clinicians. This could also include either (i) the 
development of high-throughput phenotyping methodologies for generating 
new antibiotic resistance datasets or else (ii) the use of large open 
datasets and data analytic tools to better understand resistance. 
Finally, we are interested in hearing from candidates with an interest 
in the use of phage in infection medicine.

About you
The successful applicant will be able to develop research objectives, 
projects and write papers; help identify sources of research funding and 
contribute to the process of securing funds and make presentations at 
research conferences and at research centres off-site.

Applicants will possess a relevant PhD or equivalent 
qualification/experience in a field of study relevant for tackling 
questions in antibiotic resistance. The successful applicant will 
possess sufficient knowledge in sub-disciplines of either 
mathematics, statistics, biology, chemistry or physics, to develop the 
above research questions and methodologies. The successful 
applicant will also be able to work collaboratively, supervise the work 
of others and act as team leader as required. Applicants will 
be expected to work across the boundaries between microbiology and the 
quantitative sciences and will be prepared to learn new skills, as and 
when this cross-disciplinary project needs them: applicants with a ‘wet’ 
background must be prepared to learn new computational skills, 
applicants with a ‘dry’ background must be prepared to engage with real 
world problems in the evolutionary genetics of microbes and their 
communities.

Exceptional communication skills are critical, as the successful 
candidate will work in an interdisciplinary team and will need 
to present information on research progress and outcomes, as well as 
having the ability to communicate both verbally and in writing complex 
information. The successful candidate will have a demonstrable ability 
to write up scientific findings in a timely and succinct manner for 
publication.

To apply: 
https://jobs.exeter.ac.uk/hrpr_webrecruitment/wrd/run/ETREC107GF.open?VACANCY_ID=288339TgO6&WVID=3817591jNg&LANG=USA 


Please ensure you read the Job Description and Person Specification 
attached to our website.

To apply applicants should upload a full CV, a cover letter describing 
how they satisfy the essential criteria for the role and a recent 
publication that best showcases their research.

For further information contact Prof Krasimira Tsaneva-Atanasova, e-mail 
k.tsaneva-atansova at exeter.ac.uk 
<mailto:k.tsaneva-atansova at exeter.ac.uk> or telephone 07747844620.

Interviews are expected to take place during the week beginning on 
16th November 2020.