Assistant Professor in Statistics and Optimisation2017 February 14
Post Specification (Comp: 032093)
Assistant Professor in Statistics and Optimisation
Discipline of Statistics, School of Computer Science and Statistics, Faculty of Engineering, Mathematics and Science, Trinity College Dublin, the University of Dublin
Lloyd Building, Trinity College Dublin, the University of Dublin, College Green, Dublin 2, Ireland
Head of School of Computer Science and Statistics
Appointment will be made on the Lecturer Merged Salary Scale at a point in line with Government Pay Policy (€32,540 to €46,615 per annum), appointment will be made no higher than point 8 (€46,615). The full range
of the Merged Salary scale can be viewed here:
Hours of Work:
Hours of work for academic staff are those as prescribed under Public Service Agreements. For further information please following link below:
12 Noon (Irish Standard Mean Time) on Thursday, 23rd March 2017
Please note: this post is tenable from the 1st July, 2017
The School of Computer Science and Statistics is seeking to appoint an Assistant Professor in Statistics and Optimisation. The successful candidate will be an outstanding researcher and teacher who can demonstrate an excellent international research track record and the potential to become a research leader. A strong commitment to research excellence, developing research partnerships, and the ability to establish a dynamic, high impact, world-class research programme are essential. Exceptional candidates in all areas of statistics and optimisation will be considered. Applications are particularly encouraged from candidates working in areas that complement existing activity such as complex data modelling, statistical computation, Bayesian methods, stochastic optimisation, decision theory, risk and reliability. The post holder will join a vibrant School, top ranked in Ireland, and have the opportunity to be affiliated with the Insight Research Centre for Data Analytics.
The successful applicant will have a primary degree in a quantitative subject and a PhD in statistics, management science or a related area with a strong statistical component. The School particularly welcomes applicants with experience and interest in working in an interdisciplinary setting, and with interests that cross the boundaries between Statistics and Computer Science.
Candidates wishing to discuss the post informally should contact:
Professor Simon Wilson E-mail: email@example.com
Candidates should submit by e-recruitment:
- Cover letter
- Full curriculum vitae, your list of publications and the names and contact details of 3 referees (e-mail address if possible)
- Research plan (summarizing research to be carried out in the next two years and including details for funding to be sought – 2 pages maximum)
- Teaching statement (summarizing teaching experience and approach – 2 pages maximum)
- Candidates who do not submit this additional information may not be considered for shortlisting
- Candidates should note that the interview process for this appointment will include the delivery of a presentation.
- If a candidate is shortlisted, the three referees provided by the candidate will be contacted in advance of interview.
Duties of the Post
The appointee will undertake teaching duties on the School’s undergraduate and postgraduate programmes as well as the supervision of Masters and PhD students. It is expected that the candidate will be responsible for delivering teaching in statistics and management science.
Research will include the development of proposals leading to applications for competitive funding as well as contributing to the enhancement of the School’s profile by sustaining a high-quality publication record.
All members of the School are expected to undertake appropriate administrative duties.
The successful candidate must have:
- A doctoral degree in Statistics, Management Science, Optimisation or another subject with strong statistical and optimisation components.
Required Knowledge and Experience
- Proven record in research and ability to contribute to the field of Statistics with interests in applications of statistical methods in optimisation.
- Demonstrate research plans which complement the strategic plans of the School of Computer Science and Statistics.
- Proven ability or evidence of potential to establish a strong record of research and publication in the fields mentioned above.
- Publication of articles in peer-reviewed journals.
- Participation in research seminars and conferences.
- proven ability or evidence of potential to attract external research funding.
- an ability to provide lectures and practical classes in statistics and management science to undergraduate and postgraduate students.
- excellent communication and interpersonal skills.
- evidence of personal contribution and commitment to excellence in teaching
- experience of supervising undergraduate and postgraduate dissertations .
- experience of developing new modules and teaching material.
- experience of using new teaching media.
- experience of working collaboratively and effectively in an inter and multidisciplinary environment.
- potential for recruiting and supervising research postgraduate students.
- potential to co-ordinate, manage and develop modules and courses in a university setting.
- excellent organisational and administrative skills.
- ability to establish targets and goals to support School and College strategies.
- a commitment to student care.
- experience of organizing research seminars, recruitment initiatives and other activities.
Other essential attributes
- ability to work effectively as member of a team.
- honesty and integrity.
- good communication skills.
- good organizational skills.
- willingness to contribute to the Discipline, School, College and to the wider community.
- career driven, enthusiastic and motivated.
- a commitment to own professional development.
In addition, candidates will be assessed on their demonstrated potential contribution to the School, to the College and to the wider community.
Further Information for Candidates
URL Link to Area
URL Link to Human Resources
The School of Computer Science and Statistics
The School of Computer Science and Statistics was established in 2005 following the merger of two long established departments. It has 65 full-time faculty and is internationally recognized for the quality of its research and teaching at all levels. The School offers a wide range of undergraduate and postgraduate degree programmes on which over 1000 students are registered this year. In addition, the School offers opportunities for higher degrees by research and there are currently over 150 registered research students in the School.
For further information, visit http://www.scss.tcd.ie/
Discipline of Statistics
The Discipline of Statistics consists of six full-time academics, two postdoctoral researchers and 10 postgraduate research students. Its research is primarily concerned with developing and applying the principles of statistical inference and decision theory to a wide variety of areas of science, engineering and the biosciences. Current examples include social networks, system and software reliability and risk, environmental science and astronomy. The Discipline also conducts research in collaboration with the Insight Centre for Data Analytics, the largest single research funding commitment by the Irish State to date. For further information on the Discipline, please visit http://www.scss.tcd.ie/disciplines/statistics/
Trinity College Dublin, the University of Dublin
Founded in 1592, Trinity is at the nexus of tradition and innovation, offering undergraduate and postgraduate programmes across 24 schools and three faculties: arts, humanities, and social sciences; engineering, maths and science; and health sciences. Spread across 47 acres in Dublin’s city centre, Trinity’s 17,000-strong student body comes from all 32 counties of Ireland, and 16% of students come from outside the country. Of those, 40% are from outside the European Union, making Trinity’s campus cosmopolitan and bustling, with a focus on diversity.
As Ireland’s leading university, the pursuit of academic excellence through research and scholarship is at the heart of the Trinity education. Trinity is known for intellectual rigour, excellence, interdisciplinarity, and research-led teaching. Home to Nobel prize-winners such as scientist Ernest Walton and writer Samuel Beckett, Trinity draws visitors from across the world to its historic campus each year, including to the Book of Kells and Science Gallery which capture the university’s connection to both old and new.
Trinity accounts for one-fifth of all spin-out companies from Irish higher education institutions, helping to turn Ireland into an innovation-intensive, high-productivity economy. That culture of innovation and entrepreneurship is a defining characteristic of our campus as we help shape the next generation of job creators.
Trinity has developed significant strength in a broad range of research areas, including the 19 broadly based multi-disciplinary thematic research areas.
Ireland’s first purpose-built nanoscience research institute, CRANN, houses 150 scientists, technicians and graduate students in specialised laboratory facilities. Meanwhile, the state-of-the-art Biomedical Sciences Institute is carrying out breakthrough research in areas such has immunology, cancer and medical devices.
The Old Library, which houses the Long Room in Trinity, is the largest research library in Ireland, with a collection of six million printed items, 500,000 maps, 80,000 electronic journals, and 350,000 electronic books. Some of the world’s most famous scholars are graduates of Trinity, including writer Jonathan Swift, dramatist Oscar Wilde, philosopher George Berkeley, and political philosopher, and political theorist Edmund Burke. Three Trinity graduates have become Presidents of Ireland - Douglas Hyde, Mary Robinson and Mary McAleese.
Trinity is the highest ranked university in Ireland, and among the world’s leading higher education institutions.
Trinity College Dublin World University Rankings
- Trinity is Ireland’s No.1 University in the QS World University Ranking, THE World University Ranking and the Academic Ranking of World Universities (Shanghai).
- Trinity is ranked 78th in the world and 27th in Europe in the 2015/2016 QS World University Ranking across all indicators.
- Trinity is ranked 35th in the world in terms of International Outlook in the Times Higher Education World University Ranking 2015/2016.
- Trinity is ranked in the top 20% of universities in the world in terms of Teaching Performance in the Times Higher Education World University Ranking 2015/2016.
- Trinity ranks in the top 1% of research institutions in the world in the following 17 Essential Science Indicators fields (an increase of over 150% from 2004): Physics, Chemistry, Engineering, Social Sciences (General), Immunology, Neurosciences, Nanosciences, Materials Science, Pharmacy and Toxicology, Molecular Biology and Genetics, Biology and Biochemistry, Microbiology, Plant and Animal Science, Clinical Medicine, Agriculture, Psychiatry/Psychology, Environment/Ecology.
In the QS Faculty Rankings 2015*:
- Trinity is ranked 61st in the world in Arts and Humanities.
In the QS Subject Rankings 2015**:
Trinity College Dublin features in the world's elite (Top 200) institutions in 25 of the 28 subjects in which it was evaluated by the QS World University Rankings by Subject 2015. Of these, Trinity ranks in the top 100 in the world in 14 subjects and in the top 5 in the world in 5 subjects.
- Trinity is ranked 32nd in the world in English Language and Literature.
- Trinity is ranked 33rd in the world in Politics and International Studies.
- Trinity is ranked 39th in the world in History.
- Trinity is ranked 48th in the world in Biological Sciences.
- Trinity is ranked 49th in the world in Modern Languages.
- Trinity is in the top 100 in the world in Chemistry.
- Trinity is in the top 100 in the world in Computer Science and Information Systems.
- Trinity is in the top 100 in the world in Education.
- Trinity is in the top 100 in the world in Geography.
- Trinity is in the top 100 in the world in Law.
- Trinity is in the top 100 in the world in Medicine.
- Trinity is in the top 100 in the world in Pharmacy and Pharmacology.
- Trinity is in the top 100 in the world in Philosophy.
- Trinity is in the top 100 in the world in Psychology.
Trinity subjects ranked in the world top 101-200 (QS Subject Ranking 2015)
Subject Trinity Rank
Accounting and Finance 101-150
Business and Management Studies 101-150
Economics and Econometrics 101-150
Physics and Astronomy 101-150
Engineering - Civil and Structural 151-200
Engineering – Electrical 151-200
Engineering – Mechanical 151-200
Environmental Sciences 151-200
* QS ‘Faculty’ Rankings 2015: www.topuniversities.com/faculty-rankings
** QS Subject Rankings 2015: www.topuniversities.com/subject-rankings
The Selection Process in Trinity
- The Selection Committee (Interview Panel) may include members of the Academic and Administrative community together with External Assessor(s) who are expert in the area.
- Applications will be acknowledged by email. If you do not receive confirmation of receipt within 1 day of submitting your application online, please contact the named Recruitment Partner on the job specification immediately and prior to the closing date/time.
- Given the degree of co-ordination and planning to have a Selection Committee available on the specified date, the University regrets that it may not be in a position to offer alternate selection dates. Where candidates are unavailable, reserves may be drawn from a shortlist.
- Outcomes of interviews are notified in writing to candidates and are issued no later than 5 working days following the selection day.
- In some instances the Selection Committee may avail of telephone or video conferencing.
- The University’s selection methods may consist of any or all of the following:
- Psychometric Testing
- Situational Exercises
- It is the policy of the University to conduct pre-employment medical screening/full pre-employment medicals.
- Information supplied by candidates in their application (Cover Letter and CV) will be used to shortlist for interview.
- Applications from non-EEA citizens are welcomed. However, eligibility is determined by the Department of Jobs, Enterprise and Innovation and further information on the Highly Skills Eligible Occupations List is set out in Schedule 3 of the Regulations https://www.djei.ie/en/What-We-Do/Jobs-Workplace-and-Skills/Employment-Permits/Employment-Permit-Eligibility/Highly-Skilled-Eligible-Occupations-List/ and the Ineligible Categories of Employment are set out in Schedule 4 of the Regulations https://www.djei.ie/en/What-We-Do/Jobs-Workplace-and-Skills/Employment-Permits/Employment-Permit-Eligibility/Ineligible-Categories-of-Employment/. Non-EEA candidates should note that the onus is on them to secure a visa to travel to Ireland prior to interview. Non-EEA candidates should also be aware that even if successful at interview, an appointment to the post is contingent on the securing of an employment permit.
Equal Opportunities Policy
Trinity College is an equal opportunities employer and is committed to employment policies, procedures and practices which do not discriminate on grounds such as gender, civil status, family status, age, disability, race, religious belief, sexual orientation or membership of the travelling community.
On that basis we encourage and welcome talented people from all backgrounds to join our staff community.
Trinity College’s Diversity Statement can be viewed in full at https://www.tcd.ie/diversity-inclusion/diversity-statement
This is a pensionable position and the provisions of the Public Service Superannuation (Miscellaneous Provisions) Act 2004 will apply in relation to retirement age for pension purposes. Details of the relevant Pension Scheme will be provided to the successful applicant.
Applicants should note that they will be required to complete a Pre-Employment Declaration to confirm whether or not they have previously availed of an Irish Public Service Scheme of incentivised early retirement or enhanced redundancy payment. Applicants will also be required to declare any entitlements to a Public Service pension benefit (in payment or preserved) from any other Irish Public Service employment.
Applicants formerly employed by the Irish Public Service that may previously have availed of an Irish Public Service Scheme of Incentivised early retirement or enhanced redundancy payment should ensure that they are not precluded from re-engagement in the Irish Public Service under the terms of such Schemes. Such queries should be directed to an applicant’s former Irish Public Service Employer in the first instance.
Candidates should submit a cover letter together with a full curriculum vitae to include the names and contact details of 3 referees (email addresses if possible), your list of publications and a research plan (summarising research to be carried out in the next two years and including details for funding to be sought - 2 pages), and a teaching statement (summarising teaching experience and approach - 2 pages) by e-Recruitment:
APPLICATIONS WILL ONLY BE ACCEPTED BY E-RECRUITMENT
If you have any query regarding this, please contact:
Kate Mulcahy, Recruitment Partner, Human Resources, House No. 4, Trinity College Dublin, the University of Dublin
Tel: +353 1 896 1893