Dear Colleagues,

 

I have been given details by the Knowledge Transfer Network in Industrial Mathematics of two PhD internships. Please see details in the message below along with general information on the scheme. These are brilliant opportunities for the right student.

 

If you would like to follow up either of these, please contact Vera Hazelwood.

 

Best wishes, Kevin Glazebrook  

 

 

Dear Kevin,

 

We have received two new vacancies for intern positions. One is in the area of optical pattern recognition and another is in the area of deconvolution algorithms for geological data analysis in oil industry applications. I copy the brief project descriptions below.

 

We are looking for a PhD student and an academic collaborator for both of these project and I hope that you could forward this information to any colleagues and students who might be interested. Alternatively, I would be very grateful for any suggestions of academics or students for me to approach directly. There are certain requirements and conditions for an internship, namely, to apply for an internship a student must be

·         A current PhD student enrolled in a UK university preferably in the second or further year.

• Be prepared to be based at the company during the project for at least 3 days a week.
• Have an interest and expertise in the area of the internship.

 

The following conditions apply for an internship project:

• A student receives a stipend of £1,500 per month during the project. All travel or relocation expenses are paid for separately.
• A student still has the same time to complete PhD studies as funding for the internship is provided separately from PhD funding and the duration of the PhD is extended without affecting completion rates.
• The Intern remains a student at the University; he/she will not be an employee of the company during the Internship but will be based at the company's premises.

 

I attach the pdf with additional information, which is also available at www.ktn-internships.net .

 

Please encourage people to get in touch with me if they are interested in any of the projects.

 

Many thanks in advance and best wishes,

 

Kind regards,

 

Vera

 

Dr Vera Hazelwood

Programme Manager

Knowledge Transfer Network for Industrial Mathematics

Office: + 44 (0)1483 565252

Mobile: +44 (0)7875 401 570

email: [log in to unmask]  

 

1: Title of the proposed Internship

Pattern recognition of complex 3D optical structures imaged by a moving camera.

 

Location: Honiton, Devon

Duration: 6 months

 

Description of the project

The key task of the Intern will be to develop the mathematics and structure of the optical pattern recognition algorithm design, in consultation with the team at the company and contribute to the improvement of pattern design to improve speed and accuracy of recognition. 

The Intern will then implement the algorithm  in software, on a PC platform.  The choice of software language is yet to be made and the Intern is expected to contribute to this decision making process. We also expect the intern to create a basic GUI sufficient for in-house operation, tests, and reporting.

 

It is expected that this Internship would last 6 months and there is the possibility of further work after this. The appointee should benefit from the experience of working in an experienced product development team with industrial focus and constraints. We are looking for someone with a good grasp of image recognition.

 

More information about this project is available on request.

 

2: Title of the proposed Internship

Deconvolution of Well Test Data

 

Location: Woking, Surrey

Duration: 3 months

 

Description of the project

The objective of the project is to modify an existing deconvolution algorithm used in the analysis of pressure transient data to smooth out the derivative response so that it appears more like a physical response (i.e. continuous) rather than a fabricated representation.  This will likely be achieved through the introduction of a curvature constraint to the current method, which deconvolves pressure data influenced by multiple rate sequences into a pressure response due to a single constant rate.  The method is an iterative approach using non-linear least squares minimisation (Marquart), which is highly sensitive to initial pressure and can often be non-unique, resulting in an erratic response.  The goal is to improve the algorithm so as to eliminate noise and small scale oscillations, and accompany this with a confidence indicator for the calculated solution.  There are a number of published works in this area and a number of resources already exist for someone with a strong mathematical background to make use of in achieving the objective (eg. von Schroeter et al SPE 77688, Levitan et al SPE 90680).

 

 

 

 

 

Industrial Mathematics Internships: Apply your expertise to business challenges

Background

The Industrial Mathematics Knowledge Transfer Network (www.industrialmaths.net) and the

Engineering and Physical Sciences Research Council (www.epsrc.ac.uk) are currently offering the

Industrial Mathematics Internship Programme for PhD students who would like to gain industrial

experience during their studies. The overarching objective of the programme is to extend the innovation

impact of mathematics, through short projects carried out by current PhD students over 3 to 6 months

within companies. Each Internship is a collaboration between a host company, an Intern, and a research

group within a university. Internships enable postgraduate researchers to demonstrate their knowledge

and insight in addressing industrial challenges and provide academics with a means of growing new

industrial collaborations and relationships.

Requirements and conditions

To apply for an internship a student must be

• A current PhD student enrolled in a UK university preferably in the second or further year.

• Be prepared to be based at the company during the project for at least 3 days a week.

• Have an interest and expertise in the area of the internship.

The following conditions apply for an internship project:

• A student receives a stipend of £1,500 per month during the project. All travel or relocation

expenses are paid for separately.

• A student still has the same time to complete PhD studies as funding for the internship is

provided separately from PhD funding and the duration of the PhD is extended without affecting

completion rates.

• The Intern remains a student at the University; he/she will not be an employee of the company

during the Internship but will be based at the company's premises.

Projects

Each project has a clearly defined programme of work, with a valuable impact for both the company and

the Intern's research group. The internship project is a stand-alone project and is not intended to

contribute directly into the PhD thesis.

A number of companies are currently looking for Interns in the areas of mathematical modelling, data

analysis, optimisation and statistics. For current vacancies and full details of the programme please visit

www.ktn-internships.net . New vacancies appear regularly and you can register to receive updates about

new internships opportunities.

Application

To apply for an internship or register your interest for future vacancies, please send your CV to Vera

Hazelwood ([log in to unmask] ) with a covering letter indicating the project you are

interested in or the area of your expertise.

The application is also possible if a university is already working with a company and would like to use

an Internship to develop the relationship further. In this case, a company and a university can apply

together. For the application form, please email Vera Hazelwood