CLOSING DATE: 10th December 2018
The University of Manchester's Decision and Cognitive Sciences Research
Centre (DCSRC) and Machine Learning & Optimization Group, in partnership
with Biopharm Services Ltd, is offering a unique opportunity to work with
two prestigious organisations on a project to develop flexible optimization
techniques for computationally expensive problems in the area of drug
manufacturing. The Knowledge Transfer Partnership (KTP) will address how to
(i) build optimization tools capable of dealing with problems that have
time-consuming simulations, constraints, multiple objectives and mixed-type
decision variables, followed by (ii) embedding the resulting tools into an
existing decision-making framework, and finally (iii) supporting the
commercialization of the framework.
Available from December 2018, the post is funded for 13 months in the first
instance and includes a £2,000 dedicated personal development budget and
£5,000 for travel and consumables.
* Key Requirements
Candidates should hold an MSc (for appointment at Grade 6) or PhD (for
appointment at Grade 7) in Computer Science, Statistics, Mathematics or a
closely related field. It is essential that the successful candidate has
experience in expensive optimization (e.g. Bayesian optimization),
programming experience in at least one language (ideally Python) and strong
analytical, problem solving and communication skills. Experience in drug
manufacturing is a bonus but not essential.
Appointment at Grade 7 is dependent upon having been awarded a PhD; if this
is not the case, initial appointment will be at Grade 6 (salary range as
above) with payment at Grade 7 being backdated to the date of final
submission of the PhD thesis.
* Further Details
Please go to https://www.jobs.manchester.ac.uk/displayjob.aspx?jobid=16365 for
a job description and person specification, together with some details
about the DCSRC and Biopharm Services.
Informal enquiries regarding the vacancy may be addressed to
Dr Richard Allmendinger, email: richard.allmendinger@manchester.ac.uk, tel:
+44(0)161 306 6598.
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