[Job-offers-cs] Postdoc position in Optimization/Constrained Clustering/Mathematical Imaging at University of Liverpool, UK

[Pekka Orponen]

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Subject: 	[DMANET] Postdoc position in Optimization/Constrained 
Clustering/Mathematical Imaging at University of Liverpool, UK
Date: 	Fri, 21 Jul 2023 17:16:41 +0000
From: 	Alpers, Andreas <Andreas.Alpers at liverpool.ac.uk>
To: 	dmanet at zpr.uni-koeln.de <dmanet at zpr.uni-koeln.de>



Applications are invited for a 24-month EPSRC funded Postdoctoral 
Research Associate post at the Department of Mathematics, University of 
Liverpool, UK.

The position is funded by Dr Alpers' EPSRC New Investigator Award 
project "Optimal Grain Diagrams: Mathematical Analysis and Algorithms". 
The Postdoctoral Research Associate will contribute to a programme of 
work that aims at enabling new materials discovery by advancing the 
theory and computation of geometric diagram structures describing 
polycrystals by exploiting a recently established link to constrained 
clustering.
The applicant should have (or be about to obtain) a PhD in Mathematics, 
Mathematical Optimisation, Operations Research, Machine Learning, 
Computer Science, or any related area, the ability to pursue research 
independently and as part of a team, and a track record of high-quality 
original research. Computational skills and expertise in clustering 
and/or optimisation as well as interest in materials science 
applications would be advantageous.

Further information about the post and instructions on how to apply can 
be found at: 
https://my.corehr.com/pls/ulivrecruit/erq_jobspec_version_4.display_form?p_company=1&p_internal_external=E&p_display_in_irish=N&p_process_type=&p_applicant_no=&p_form_profile_detail=&p_display_apply_ind=Y&p_refresh_search=Y&p_recruitment_id=062566>

Informal enquires can be sent to Andreas Alpers at 
andreas.alpers at liverpool.ac.uk<mailto:andreas.alpers at liverpool.ac.uk<mailto:andreas.alpers at liverpool.ac.uk%3cmailto:andreas.alpers at liverpool.ac.uk>>.
Closing date: August 11, 2023
Start date: flexible (preferable autumn 2023)
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