19 Feb

Research Associate Jobs Vacancy at University Edinburgh Edinburgh

Position
Research Associate
Company
University Edinburgh
Location
Edinburgh SCT
Opening
19 Feb, 2018 30+ days ago

University Edinburgh Edinburgh urgently required following position for Research Associate. Please read this job advertisement carefully before apply. There are some qualifications, experience and skills requirement that the employers require. Does your career history fit these requirements? Ensure you understand the role you are applying for and that it is suited to your skills and qualifications.

Follow the online directions, complete all the necessary fields, and provide all relevant information so your application is submitted correctly. When you click the 'Apply this Job' button (open in new window) you will be taken to the online application form. Here you will be asked to provide personal and contact details, respond to employment-related questions, and show how you meet the key selection criteria.

Research Associate Jobs Vacancy at University Edinburgh Edinburgh Jobs Details:

Applications are invited for a Research Associate position in the Centre for Intelligent Systems and their Applications, School of Informatics.

Project Details are as follows;

Data science provides many opportunities to improve private and public life, and it has enjoyed significant investment in the UK, EU and elsewhere. Discovering patterns and structures in large troves of data in an automated manner — that is, machine learning — is a core component of data science. It currently drives applications in computational biology, natural language processing and robotics. However, such a highly positive impact is coupled to a significant challenge: when can we convincingly deploy these methods in our workplaces? For example:
(a) how can we elicit intuitive explanations from the decisions offered by these methods?
(b) would these decisions be amenable to suggestions/preferences from non-expert users?
(c) how can we provide correctness guarantees for the underlying computations?

Such questions are clearly vital for appreciating the benefits of AI in human-machine collectives. The EPSRC project " Towards Robust Statistical AI: A Symbolic Approach” attempts first steps towards this direction, by building on:

(1) State-of-the-art probabilistic inference techniques
(2) Bayesian learning and statistical relational learning

The position will be an opportunity to conduct research on questions such as those above, and demonstrate it on novel natural language processing / understanding problems.

The post is full time and available from 1st June 2018 for 12 months.

Salary: £32,548 - £38,833 per annum

Informal enquiries can be addressed to: Vaishak Belle (Vaishak@ed.ac.uk)

Closing Date: Wednesday 21st March 2018 at 5pm (GMT)

1. Job Details

Job title: Research Associate (Grade 7)
School/Support Department: School of Informatics
Line manager: Principal Investigator for the research programme

2. Project Details

Data science provides many opportunities to improve private and public life, and it has enjoyed significant investment in the UK, EU and elsewhere. Discovering patterns and structures in large troves of data in an automated manner — that is, machine learning — is a core component of data science. It currently drives applications in computational biology, natural language processing and robotics. However, such a highly positive impact is coupled to a significant challenge: when can we convincingly deploy these methods in our workplaces? For example:

(a) how can we elicit intuitive explanations from the decisions offered by these methods?

(b) would these decisions be amenable to suggestions/preferences from non-expert users?

(c) how can we provide correctness guarantees for the underlying computations?

Such questions are clearly vital for appreciating the benefits of AI in human-machine collectives. The EPSRC project " Towards Robust Statistical AI: A Symbolic Approach” attempts first steps towards this direction, by building on:

(1) State-of-the-art probabilistic inference techniques

(2) Bayesian learning and statistical relational learning

The position will be an opportunity to conduct research on questions such as those above, and demonstrate it on novel natural language processing / understanding problems

3. Job Purpose

Research staff are normally employed to work on a particular project, based on restricted funding arising from a specific source, such as a UK Research Council grant or similar. (Occasionally a post holder will work on more than one project). This job description sets out the very general nature of such a post. Specific responsibilities will be determined by the project itself, and the member of staff responsible for that project. This generic job description is accompanied by the further particulars for the post which specifies the project areas of work.

4. Representative Work Activities

In general, to support the Principal Investigator of a specific project in achieving the goals of that project, under his/her direction.

• Undertaking a specific role in the research project under supervision
• Taking responsibility for some elements of the planned research
• Planning and carrying out a work programme appropriate to the research activity
• Developing own research portfolio in related areas
• Contributing to the writing of research grants
• Contributing to dissemination and publication of personal and/or research teams findings as appropriate.

5. Planning and organising

The post holder will have to agree a general plan of research with the Principal Investigator and progress will be monitored at pre-scheduled meetings.

6. Problem Solving

The problems to be faced are purely scientific and the post holder will supply the detailed expertise for delivering a solution. They will be expected to achieve this under instruction by and with advice from the Principal Investigator and other academic and senior research staff.

7. Decision making

The post holder will determine the specific techniques and approaches to be used in the course of the research, in agreement with the principal investigator.

8. Key contacts/relationships

The post holder will principally interact with the Principal Investigator and other project staff and students. More generally, the post holder will discuss the work, and other questions of scientific interest, with other members of the School. The postholder will be expected to represent the University externally, by presenting their work at specialist meeting or workshops in the relevant research area. They may also be required to provide advice and support to relevant students.

9. Knowledge, skills and experience

Essential

• Degree in appropriate field
• A PhD (or close to completion of a PhD) in artificial intelligence / machine learning / a related discipline (e.g., mathematics)
• Strong programming skills, preferably with experience in machine learning

Desirable

• Experience with building machine learning / NLP models and/or SAT / SMT technology
• A good track record of publications in the field

You are also expected to work independently, have strong communication skills and be able to work in a team.

Recruitment will aim at selecting those candidates with the best possible performance in these criteria.

10. Dimensions

There are no line management responsibilities associated with this post.

Informal Enquiries

Informal enquiries can be addressed to: Vaishak Belle (Vaishak@ed.ac.uk)

Application Procedure

All applicants should apply online by clicking the apply link at the bottom of this page and submitting an up to date. The application process is quick and easy to follow, and you will receive email confirmation of safe receipt of your application. The online system allows you to submit a CV and other attachments. We ask that candidates for this position attach their CV and a research statement to their application as a minimum.

You will be notifed by email whether you have been shortlisted for interview or not.

The closing date is 5pm (GMT) on Wednesday 21st March 2018.

Eligibility to Work

In accordance with the Immigration, Asylum and Nationality Act 2006 the University of Edinburgh, as an employer, has a legal responsibility to prevent illegal working and therefore must check that all employees are entitled to work in the United Kingdom (UK).

To do so, the University of Edinburgh requires to see original documents evidencing right to work in the UK before commencement of employment and this is normally carried out at interview. Details will be provided in any letter of invitation to interview.

For further information on eligibility to work please visit our eligibility to work website

If you are not currently eligible to work in the UK, the University has the authority to issue a Certificate of Sponsorship (CoS) to successful candidates who meet the eligibility criteria. The CoS enables candidates to apply for a Tier 2 (general visa) in accordance with current UK Visas and Immigration rules.

For applicants interested in sponsorship information is available on our Working in the UK website

However, if you have previously been sponsored by an employer within the UK but your leave has expired or lapsed and you are no longer in the UK, according to Home Office Visa Immigration rules you cannot apply for sponsorship under any category of Tier 2 for a period of 12 months after the date your visa expired and/or you left the UK.

If you are an academic in the field of sciences; humanities; engineering; medicine; digital technology; or the arts and come from outside the EEA, it may be possible for you to apply for a Tier 1 (Exceptional Talent) visa.

The Tier 1 (Exceptional Talent) visa route offers a greater flexibility in your employment compared to other UK immigration routes, meaning you can, for example, move organisation, location and/or job role. By contrast with, a Tier 2 visa where you are ‘tied to a UK sponsor’. Tier 1 provides greater flexibility in undertaking additional engagements, such as collaborations and is intended as a route to settlement. Allowed absences from the UK are up to 180 days per year without losing the eligibility to qualify for settlement, with no restriction on the reason for absence (unlike Tier 2, where any absences from the UK must be for a purpose consistent with the person’s employment or economic activity, including paid annual leave, or for serious or compelling personal reasons).

You would initially need to apply to be endorsed as an internationally recognised leader or emerging leader in your particular field by a designated competent body (Arts Council England, British Academy, Royal Academy of Engineering, Royal Society, Tech City UK).

Tier1 (Exceptional and Exceptional Promise) Endorsement Criteria

Once successfully endorsed, you are able to apply for a Tier 1 (Exceptional Talent) visa. More information on this entry route is available at UKVI Website .

Conditions of Employment

Pension Scheme

This role is grade UE07 and therefore the post holder is automatically included in membership of the Universities Superannuation Scheme (USS), subject to the USS membership criteria, unless they indicate that they choose not to join the Scheme.

For further information please visit our Pensions website .

Salary

The role is grade UE07 and attracts an annual salary of £32,548 - £38,833 per annum for 35 hours, each week. Salary is paid monthly by direct transfer to your Bank or Building Society account, normally on the 28th of the month. Salaries for part-time staff are calculated on the full-time scales, pro-rata to the Standard Working Week.

The University reserves the right to vary the candidate information or make no appointment at all. Neither in part, nor in whole does this information form part of any contract between the University and any individual.

The School of Informatics

Informatics is the study of how natural and artificial systems store, process and communicate information. Research in Informatics promises to take information technology to a new level, and to place information at the heart of 21st century science, technology and society.

The University has adopted our vision of the future of Informatics, as a discipline central to a new enlightenment in scholarship and learning, and critical to the future development of science, technology and society.

The School provides a fertile environment for a wide range of studies focused on understanding computation in both artificial and natural systems. The research draws on concepts from computer science, artificial intelligence, linguistics, cognitive science, neuroscience, psychology and biology.

More details about these research activities can be found at http://www.informatics.ed.ac.uk/research

The various institutes in The School of Informatics are housed together under one roof in the modern purpose – built Forum Building on Crichton Street in central Edinburgh.

Informatics is one of seven schools in the College of Science and Engineering, at the University of Edinburgh. It is recognised for the employability of its graduates (demand exceeds supply), its contributions to entrepreneurship, and the excellence of its research. Since the first Research Assessment Exercise in 1986, Informatics at Edinburgh has consistently been assessed to have more internationally excellent and world-class research than any other submission in Computer Science and Informatics. The latest REF 2014 results have again confirmed that ours is the largest concentration of internationally excellent research in the UK.

Working within the School

We aim to ensure that our culture and systems support flexible and family-friendly working and recognise and value diversity across all our staff and students. The School has an active programme offering support and professional development for all staff; providing mentoring, training, and networking opportunities.

The School of Informatics holds a Silver Athena SWAN award, in recognition of our commitment to advance gender equality in higher education and research.

http://www.ed.ac.uk/schools-departments/informatics

College of Science and Engineering ( http://www.ed.ac.uk/science-engineering )

The College of Science and Engineering (CSE) is one of the largest and highest-ranked science and engineering groupings in the UK. Headed by Professor Dave Robertson, CSE comprises seven Schools (Biological Sciences, Chemistry, Engineering, GeoSciences, Informatics, Mathematics, and Physics and Astronomy). Informatics is located in the University’s Central Area near George Square, with the other six 2 miles further south at the King’s Buildings. The College has over 3,000 academic and support staff, and educates some 6,000 undergraduates, over 1000 taught postgraduates and more than 2,000 research students. It is in the front rank of UK university science and engineering groupings for research quality and income, and is a key player in many European and international research collaborations.

Research Excellence Framework (REF) 2014

In the 2014 REF over 95% of our staff were submitted. Of our seven submissions, four of which were as a joint research school in combination with a strategic research university partner through pooling, 3 were ranked top in the UK and all 7 were in the top 5 in their discipline in the Times Higher Power rankings.

The University of Edinburgh

For more than four centuries, our people and their achievements have rewritten history time and again. They’ve explored space, revolutionised surgery, published era-defining books, paved the way for life-saving medical breakthroughs and introduced to the world many inventions, discoveries and ideas from penicillin to Dolly the sheep. We have believed that anything is possible, we still do.
The latest Research Excellence Framework highlighted our place at the forefront of international research. This adds to our international reputation for the quality of our teaching and our student experience excellence. The University is proud of its success with online teaching initiatives, with 2550 students currently studying its online distance learning postgraduate programmes, and a total to date of more than 2 million enrolments for Edinburgh MOOCs.

As a member of staff, you will be part of one of the world's leading universities, with 20 Schools spread over 3 Colleges that offer more than 1600 undergraduate and 600 postgraduate programmes to over 35,000 students each year. Professional services are critical to this success as well as our world-class teaching, research and student facilities. In fact, we are one of the top employers in Edinburgh, with over 13,000 people spread across a wide range of academic and supporting roles.

As a world-changing, world-leading university, we offer an exciting, positive, creative, challenging and rewarding place to work. We give you support, nurture your talent, develop and reward success and integrate academic, professional and personal career goals, as well as give your career the benefit of a great and distinguished reputation. In addition, our employees benefit from a competitive reward package and a wide range of staff benefits, which include generous holiday entitlement, a defined benefits pension scheme, staff discounts and much more. Access our staff benefits page for further information and use our reward calculator to find out the total value of pay and benefits provided.

The University of Edinburgh holds a Silver Athena SWAN award in recognition of our commitment to advance gender equality in higher education. We are members of the Race Equality Charter and we are also Stonewall Scotland Diversity Champions, actively promoting LGBT equality. The University has a range of initiatives to support a family friendly working environment, including flexible working and childcare vouchers. See our University Initiatives website for further information.

University Family Friendly Initiatives

The University of Edinburgh is a charitable body, registered in Scotland, with registration number SC005336.


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