PhD Studentship - Efficient Algorithms

PhD Studentship – Efficient Algorithms

Goldsmiths

Goldsmiths University of London is a world-leading centre of educational excellence where ground-breaking research meets innovative teaching and thinking. We are looking for inspiring, talented people to help Goldsmiths build on its global reputation as we expand our capabilities as a learning organisation.

As a college we are working to tackle inequality in all its forms and are working to promote equality on grounds of race, disability, age, sex, gender identity, sexual orientation, religion and belief, marriage and civil partnership, pregnancy and maternity, and caring responsibilities. We are keen to attract candidates from diverse backgrounds who share our commitment to creating an inclusive culture in which all students and staff can thrive.

The role

The Department of Informatics and Goldsmith’s University of London, has a vacancy for a PhD student position in the area of efficient algorithms. The project will be co-supervised by Dr. Simon. J. Puglisi (University of Helsinki) contact email: simon.puglisi@helsinki.fi and Dr. Golnaz Badkobeh (Goldsmiths) 

The dissertation work will involve research in the fields of string processing algorithms, data compression, or algorithm engineering.

Eligibility

Applicants should have a master’s degree in Computer Science, Mathematics, or a related discipline. Candidates should have excellent communication (oral and written) and programming skills.

Applicants who also demonstrate deep knowledge of string algorithms and complexity analysis will be favoured:

Funding

The studentship is for 3 years and provides full coverage of tuition fees (Home and Overseas) and an annual tax-free stipend of £18,000. The funding is provided by Goldsmiths. University of London.

To Apply

You are strongly encouraged to discuss your application in advance with Dr Golnaz Badkobeh (Email: g.badkobeh@gold.ac.uk)

Please submit your application by clicking the Apply button, including the following documents:

• A CV that includes information about education background and work/research experience
• Certified copies of relevant transcripts and diplomas.
• A short research statement explaining the experience and the interest of the candidate for the research topic and describing the relevance of the candidate’s background to the research project (max 1 page)
• A copy of the master thesis.
• Any relevant publications.
• Contact information for two references.

Proposed start date is negotiable.

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