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Lecturer Fellowship in Machine Learning 2017, University of Oxford, UK

University of Oxford


Deadline:

February 09, 2017

Disciplines:


Opportunity Cover Image - Lecturer Fellowship in Machine Learning 2017, University of Oxford, UK

About the fellowship 

DEPARTMENT OF ENGINEERING SCIENCE

Grade 8: £39,324 - £46,924 p.a.

We are seeking to appoint a Departmental Lecturer to join the Machine Learning Research Group and the Oxford-Man Institute of Quantitative Finance (central Oxford) at the University of Oxford. The post is fixed-term for 5 years.

The Machine Learning Research group unites pioneering work on foundational machine learning topics with the application of that work to problem domains motivated by societal and scientific challenges. The group develops systems that can extract knowledge and provide decision making for data at a scale beyond the human, while realising the benefits of subtle human judgement and creativity. The Oxford-Man Institute of Quantitative Finance (OMI) is a research centre in quantitative finance which has a focus on data driven science. The aim is to foster a stimulating environment composed of researchers focused on machine learning techniques, whereby machine learning and data analytics expertise can be shared and leveraged. The post is part of a collaborative project with Man AHL.

As a Departmental Lecturer, you will be a faculty member and will help deliver existing research in financial applications of machine learning as well as developing your own research team. You will plan and manage research projects to grow your own research activity. You will present papers and write research articles as well as undertaking advanced academic study. You will lecture and conduct practical classes as well as supporting specific areas of the syllabus.

You must have a doctorate in a relevant subject as well as post qualification research experience. A strong publication record, ability to lead and strong communication skills are also essential. A commitment to the academic mission through research, leadership and teaching as well as self-motivation and proven experience in machine learning is required.

Informal enquiries may be addressed to Professor Stephen Roberts, Director of the Oxford-Man Institute of Quantitative Finance (steve.roberts@oxford-man.ox.ac.uk).

You will be required to upload a covering letter/supporting statement, including a brief statement of research interests (describing how past experience and future plans fit with the advertised position), CV and the details of two referees as part of your online application.

Only applications received before 12.00 midday on Thursday 9 February 2017 can be considered.

The Department holds an Athena Swan Bronze award, highlighting its commitment to promoting women in Science, Engineering and Technology.

How to apply

Before submitting an application, you may find it helpful to read the ‘Tips on applying for a job at the University of Oxford’ document.

If you would like to apply, click on the Apply Now button on the ‘Job Details’ page and follow the on-screen instructions to register as a new user or log-in if you have applied previously. You will then be required to complete a number of screens with your application details, relating to your skills and experience. When prompted, please provide details of two referees (one of which must be your current or most recent employer/supervisor) and indicate whether we can contact them at this stage. You will also be required to upload a supporting statement which explains how you meet the selection criteria for the post.

Supporting Statement

The supporting statement should describe your skills and experience relevant to the post. These may have been gained through employment, education/training, voluntary/community work or you may have taken time away from these activities in order to raise a family, care for a dependent, or travel for example. Your application will be judged solely on the basis of how you demonstrate that that you meet the selection criteria outlined above and we are happy to consider evidence of transferable skills or experience which you may have gained outside the context of paid employment or education. We will short list for interview those whose applications best demonstrate that the applicant meets the selection criteria, so it is important that you use your supporting statement to explain clearly, point by point, how you match them. Please note that a copy of a CV will not be accepted as substitute for a supporting statement and that inclusion of the statement is a mandatory step in the online application process.

References

Please give the details of people who can provide a reference for you. If you have previously been employed, your referees should be people who have managed you, and at least one of them should be your formal line manager in your most recent or current job. Otherwise they may be people who have supervised you in a recent college, school, or voluntary experience. It is helpful if you can tell us briefly how each referee knows you (e.g. ‘line manager’, ‘college tutor’). Your referees should not be related to you.

We will assume that we may approach them at any stage unless you tell us otherwise. If you wish us to ask for your permission before approaching a particular referee, or to contact them only under certain circumstances (for example, if you are called to interview) you must state this explicitly alongside the details of the relevant referee(s).

If you currently work, or have previously worked, for the University of Oxford, we will also take up a reference from the head or administrator of the previous employing department. This will be in addition to taking references from the referees you have provided.

Please upload all documents as PDF files with your name and the document type in the filename.

All applications must be received by midday on the closing date stated in the online advertisement.

About the University of Oxford

Welcome to the University of Oxford. We aim to lead the world in research and education for the benefit of society both in the UK and globally. Oxford’s researchers engage with academic, commercial and cultural partners across the world to stimulate high-quality research and enable innovation through a broad range of social, policy and economic impacts.

We believe our strengths lie both in empowering individuals and teams to address fundamental questions of global significance, and in providing all of our staff with a welcoming and inclusive workplace that supports everyone to develop and do their best work. Recognising that diversity is a great strength, and vital for innovation and creativity, we aspire to build a truly diverse community which values and respects every individual’s unique contribution.

While we have long traditions of scholarship, we are also forward-looking, creative and cutting- edge. Oxford is one of Europe's most entrepreneurial universities. Income from external research contracts in 2014/15 exceeded £522.9m and ranked first in the UK for university spin- outs, with more than 130 spin-off companies created to date. We are also recognised as leaders in support for social enterprise.

Join us and you will find a unique, democratic and international community, a great range of staff benefits and access to a vibrant array of cultural activities in the beautiful city of Oxford.

For more information click "Further official information" below.


Eligible Countries
Host Country
Opportunities
Publish Date
February 04, 2017




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