[agents] Lecturer/Senior Lecturer openings in Artificial Intelligence including Machine Learning at Imperial College London

[Alessio Lomuscio]

http://www.imperial.ac.uk/computing/job-vacancies/

The Department of Computing at Imperial College London invites 
applications for a full-time, faculty member at the Lecturer/Senior 
Lecturer level (comparable to American tenure-track Assistant 
Professorships) who can contribute to research and teaching, in 
particular in the area of Artificial Intelligence and Machine Learning. 
This includes (but is not limited to): autonomous systems; knowledge 
representation and reasoning; planning; machine learning for speech, 
audio and text; optimization and data mining.

Notwithstanding the above focus, exceptional candidates from any area of 
Computer Science are also encouraged to apply.

The Department of Computing is one of the largest Computing departments 
in the UK, and is at the forefront of academic research and teaching in 
Computer Science. Its research has been ranked in the top three in the 
UK in the Research Excellence Framework undertaken by the Higher 
Education funding Council for England in 2014. The Complete University 
Guide ranks the Department’s teaching as second in Computer Science. For 
further information on the Department visit 
http://www.imperial.ac.uk/computing/.

Imperial College London is a world-leading university whose reputation 
for excellence in teaching and research attracts students and staff of 
the highest international quality. The three Faculties: Engineering, 
Natural Sciences and Medicine, together with the Business School explore 
the interface between science, medicine, engineering and management.

We offer an attractive salary package (including pension schemes to 
which the employer makes significant contributions) as well as generous 
terms and conditions of service. In addition, we offer numerous benefits 
to our staff and students, including subsidized childcare on campus, 
flexible and family friendly working policies and opportunities for 
further professional development and sabbaticals.

You will have a PhD (or equivalent) in Computer Science or a relevant 
field. You should be able to demonstrate an ability to establish 
outstanding independent research, to contribute to undergraduate and 
postgraduate teaching programmes in the Department and to supervise PhD 
students.

As this post is exempt from the Rehabilitation of Offenders Act 1974, a 
satisfactory (standard/enhanced/enhanced for regulated activity) 
Disclosure and Barring Service check will be required for the successful 
candidate. Further information about the DBS disclosure process can be 
found at http://www.homeoffice.gov.uk/agencies-public-bodies/dbs/ or by 
telephoning 0870 90 90 811. You may also wish to view the College’s 
policy statements on the Recruitment and Employment of Ex-Offenders and 
the Secure Storage, Use, Retention & Disposal of Disclosures and 
Disclosures and Disclosure Information.

Closing Date: 16 January 2017 (midnight GMT)

How To Apply:

Our preferred method of application is online via our website 
http://www.imperial.ac.uk/employment (please select “Job Search” then 
enter the job title or vacancy reference number EN20160416LE into 
“Keywords”). Please complete and upload an application form as directed.

  In addition to the application form, candidates should attach:

     A cover letter of up to two pages summarising the applicant’s key 
research achievements to date, their research plans, and a statement 
indicating how their teaching abilities can contribute to the 
Department's degree programmes.
     A full CV including a publication list.
     A list of the four most significant publications. For each of the 
four publications please include a short statement (100 words maximum) 
highlighting the key contributions made by the applicant in that work.

Applicants should contact three referees before applying to ensure their 
willingness to provide a reference for the present post. Referees should 
be provided with a copy of the applicant’s CV as this will not be 
forwarded when references are sought.