vacancy

Job vacancies: Lecturers in Computer Science

The School of Computer Science is recruiting two new Lecturers as part of a large on-going expansion of our academic staff.

You will be a scholar with a growing international research reputation in Computer Science and a commitment to delivering high quality teaching within the broad field of Computer Science and its applications. The successful candidate will be expected to have a range of interests, to be active in research publication that strengthens or complements those in the School and to be capable of teaching the subject to undergraduate and taught postgraduate students who come to us with a wide range of backgrounds.

Candidates should hold a PhD in a cognate discipline. Excellent teaching skills and an interest in promoting knowledge exchange are essential. You should also have some familiarity with grant seeking processes in relation to research councils and other sources.

Closing date: 14th January 2019

Informal enquiries can be directed to Professor Simon Dobson (hos-cs@st-andrews.ac.uk) or Dr Dharini Balasubramaniam (dot-cs@st-andrews.ac.uk).

Find out more about the vacancies further particulars on the recruitment website.

Job vacancies: Interdisciplinary Data Scientists

The Schools of Medicine and Computer Science are seeking to appoint three highly motivated data scientists with a passion for computer vision and deep learning, and specifically their application to medical imaging. The data scientists will be based in the Schools of Computer Science and Medicine at the University of St Andrews and will work on a national Innovate UK funded initiative to create a pan Scotland Industrial Centre for AI Research in Digital Diagnostics (iCAIRD).

The successful candidates will have the opportunity to work alongside and learn from clinicians, industrial experts from Philips Healthcare and academics to help develop artificial intelligence solutions for the automatic reporting of cancer diagnoses in endometrial and cervical cancer. The main duties of the role will involve being an active member of an interdisciplinary team of scientists to help develop deep learning algorithms, within industry standard guidelines, to analyse patient samples in a manner that allows rapid clinical transfer. This work will therefore have the opportunity to impact both patient welfare and relieve pathologist work burden.

Applicants should have experience in machine learning, demonstrable experience in computer programming languages and an interest in the medical applications of computer science. The candidates would benefit from a track record in scientific writing and working in interdisciplinary teams as well as experience in computer vision.

The posts are full time and over a period of 36 months.
Closing Date: 18 January 2019

Find out more about the vacancies further particulars on the recruitment website.