[Job-offers-cs] Research associate positions in Cambridge

[Pekka Orponen]

-------- Forwarded Message --------
Subject: [SIAM-OPT] Research associate positions in Cambridge
Date: Tue, 17 Sep 2019 20:51:17 +0100
From: Carola-Bibiane Schönlieb <cbs31 at cam.ac.uk>
To: Pekka Orponen <pekka.orponen at aalto.fi>
CC: Optimization SIAG mailing list <siam-opt at siam.org>

Dear All,

I would be glad if you could bring the PostDoc positions below to the 
attention of suitable candidates. Closing date for applications is the 
15th of October. More details can be found here: 
http://www.jobs.cam.ac.uk/job/23113/ and some info also below.

Thank you! and all the best,
Carola Schönlieb


Research Associates in Remote Sensing and Machine Learning (Two posts - 
Fixed Term)

Two positions exist for Post-Doctoral Research Associates to work on the 
development of novel machine learning and image analysis techniques 
within the EPSRC project Robust and Efficient Analysis Approaches of 
Remote Imagery for Assessing Population and Forest Health in India. The 
candidates will be based at the Department of Applied Mathematics and 
Theoretical Physics (DAMTP) of the University of Cambridge, and will be 
a member of the Cambridge Image Analysis group.

The project is a collaboration between DAMTP, the Department of Plant 
Sciences, and the Centre for Diet and Activity Research (CEDAR) at the 
University of Cambridge, and the IIT Delhi and industrial partners in 
India. The role of these positions will be to design and implement 
novel, cutting-edge analysis methods for large-scale remotely sensed 
data from the ground and from satellites, to benefit policy making in 
climate change, healthcare and environment conservation in India. This 
is an exceptional opportunity to conduct ambitious research, whilst 
collaborating with an international team for designing novel 
developments in machine learning for remote sensing data. For more 
information, please see the Further Particulars.

We are looking for two excellent and ambitious postdoctoral researchers 
who want to join this research endeavour.

Duties will include developing and conducting individual and 
collaborative research objectives, proposals and projects. The role 
holders will be expected to plan and manage their own research and 
administration, with guidance if required, and to assist in the 
preparation of proposals and applications to external bodies. You must 
be able to communicate material of a technical nature and be able to 
build internal and external contacts. You may be asked to assist in the 
supervision of student projects, the development of student research 
skills, provide instruction or plan/deliver seminars relating to the 
research area.

The successful candidates will have:
• A PhD degree in Applied Mathematics, Computer Science or Engineering.
• Experience in the development and application of machine learning for 
big data (experience with remote sensing data is a strong plus).
• Substantial experience in programming languages e.g. Python, C, R or 
MATLAB.
• Strong communication skills, team player and organisation skills.

The posts carry no teaching or administrative duties. There are generous 
funds available under the project for attending conferences and 
conducting research visits.

Fixed-term: The funds for this post are available for 18 months in the 
first instance. Start date: 1 November 2019 or by mutual agreement. 
Interview date: as soon as possible after the closing date.

Click the 'Apply' button below to register an account with our 
recruitment system (if you have not already) and apply online.

On the online application form you should upload a full curriculum vitae 
and a description of your recent research (not to exceed three pages).

The contact details of two referees will be required; please ensure that 
your referees are aware that they may be contacted by the Mathematics HR 
Office Administrator to request that they upload a reference for you to 
our Web Recruitment System; and please encourage them to do so promptly.

Informal inquiries can be made by contacting LE20593 at maths.cam.ac.uk 
and/or Prof. Carola-Bibiane Schönlieb (cbs31 at cam.ac.uk).

Please quote reference LE20593 on your application and in any 
correspondence about this vacancy.

The University actively supports equality, diversity and inclusion and 
encourages applications from all sections of society. We particularly 
welcome applications from women and /or candidates from a BME background 
for this vacancy, as they are currently under-represented at this level 
in our Department.

The University has a responsibility to ensure that all employees are 
eligible to live and work in the UK.