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Lecturer / Senior Lecturer in Engineering Artificial Intelligence Systems

Requisition ID:  15523
Location: 

Newcastle, GB

Contract Type:  Open Ended
Working Pattern:  Full Time
Posted Date:  14-Jan-2022

 

We are a world class research-intensive university. We deliver teaching and learning of the highest quality. We play a leading role in economic, social and cultural development of the North East of England. Attracting and retaining high-calibre people is fundamental to our continued success.

 

Salary:

Grade F - Lecturer: £36,382 : £40,927 per annum
Grade G - Lecturer: £40,927 : £50,296 per annum
Grade H - Senior Lecturer   : £51,799 - £60,022 per annum

 

Closing Date: Thursday 11 February 2022


The Role

 

We are seeking a Lecturer/Senior Lecturer to conduct cutting edge research in a recognised area of artificial intelligence and machine learning, both independently and as a member of the Microsystems group. Your role will involve publishing research in high quality journals, securing research funding from a range of sources, contributing to the School’s current menu of research specialisations and participating in our extensive portfolio of government, industrial and research council funded activities. You will teach AI systems engineering at undergraduate and post graduate levels, supervising postgraduate research students and acting as a personal tutor to selected Undergraduate and Master’s degree candidates, participating in the administration of relevant degree programmes and modules within the School, and where appropriate contributing to the development of new initiatives in these areas. 

 

It is expected that you will carry out internationally leading research in developing AI systems at different levels of abstraction, including modelling, simulation, design and validation. You will also provide leadership, motivation and line management of a group of researchers, including PhD researchers; and will represent the School and University at national and international meetings to disseminate research outputs, and perform networking activities regionally, nationally and internationally in order to ensure that AI systems engineering methods and their aplications developed at Newcastle are connected to decision makers and to world leading research activity in this space.

 

This is an exciting opportunity to join one of the leading Engineering Schools in the UK. We are a world class research-intensive university, delivering teaching and learning of the highest quality and playing a leading role in the economic, social and cultural development of the North East of England. Attracting and retaining high-calibre people is fundamental to our continued success. The successful candidate will join a renowned team of experts in the School of  Engineering who lead and hold key roles in providing teaching and research on the border between Data Science and Engineering, involving collaborations at national and international scale for the University, including the £100m Newcastle Data Centre with strategic partnership with Alan Turing Institute, research programmes in biomedical informatics and engineering, manufacturing, spatial analytics, and a range of programmes in energy, including £20m National Centre for Energy Systems Integration (CESI) and the £17m Supergen Energy Networks Hub.

 

The post available is full-time and permanent.

 

For more information please visit: https://www.ncl.ac.uk/engineering/research/electrical-electronic-engineering/u-systems/ 

 

For informal queries, please contact Professor Alex Yakovlev via email: alex.yakovlev@newcastle.ac.uk 

To apply, please complete an online application and upload a CV and a cover letter. Your cover letter is a supporting statement and you should outline how you meet the essential criteria of the role and evidence this with examples.

 

Key Accountabilities

 

  • To conduct cutting edge research in recognised disciplines of artificial intelligence and machine learning, both independently and as a member of the Microsystems group, and to publish the outcome of that research in top peer reviewed publications. 
  • To secure research funding from a range of sources -  Funding Councils, government agencies and the private sector. 
  • To contribute to the School’s current menu of research specialisations and participate in our extensive portfolio of government, industrial and research council funded activities. 
  • To be responsible teaching of engineering AI at undergraduate and post graduate levels.  
  • To supervise postgraduate research students and act as a personal tutor to selected Undergraduate and Master’s degree candidates. 
  • To participate in the administration of relevant degree programmes and modules within the School, and where appropriate contribute to the development of new initiatives in these areas.
  • To use initiative and creativity to carry out internationally leading research in developing AI systems at different levels of abstraction, including modelling, simulation, design and validation.  
  • To provide leadership, motivation and line management of a group of researchers, including PhD researchers. This will involve recruitment, induction and training of new members of the team, as well as identifying training needs and providing pastoral care for team members.
  • To represent the school and university at national and international meetings to disseminate research outputs.
  • To network regionally, nationally and internationally in order to ensure that AI systems engineering methods and their aplications developed at Newcastle are connected to decision makers and to world leading research activity in this space.

 

The Person

 

Knowledge, Skills and Experience 

 

Essential

  • In-depth subject knowledge/expertise in machine learning and artificial intelligence, as well as design of electronic and computer systems 
  • A significant understanding of current and future challenges in the area
  • A regular and excellent quality publication record for the discipline, with peer reviewed publications at international level
  • Previous success in developing innovative research proposals and securing research funding.
  • Experience in managing and mentoring junior staff and students and offering pastoral support
  • Highly developed planning and organisational skills 
  • Excellent team working and networking skills

 

Additional Knowledge, Skills and Experience for Senior Lecturer

 

  • A demonstrable network of research, industry and professional contacts in the field of AI, machine learning, electronic and computer engineering 
  • Demonstrable success in the teaching, support and supervision of undergraduate and postgraduate students, including large and small group teaching and project supervision. 
  • Evidence of development and delivery of innovative and effective teaching and learning materials in AI systems and machine learning at UG and PG level
  • Experience of course development and/or degree programme management 
  • Successful experience of the recruitment and supervision to completion of research students
  • Evidence of developing national reputation and potential to achieve international standing in research in engineering AI systems within a few years

 

Attributes and Behaviour

 

  • Awareness of self and others: recognising and limiting bias, showing empathy and perceptiveness, cultural sensitivity, emotional control.
  • Independence: challenging the status quo, seeking clarification, questioning assumptions, encouraging diverse views
  • Performance focus: focus on goals and priorities, an entrepreneurial spirit, setting high standards, supporting a learning 
  • Professionalism: care and diligence, investing in self-development, taking responsibility, acting with integrity, championing the organisation
  • Ethical outlook: expressing the University’s values, displaying high standards of conduct, managing institutional and individual priorities, identifying, and managing conflicts of interest, treating others fairly

 

Qualifications

 

Essential

  • A good degree and PhD in Computer Science or Engineering, or Electronic Engineering, 

Desirable

  • Experience in the design, running, and management of laboratories for electronic and computer systems
  • Relevant teaching qualification
  • Provided presence of significant experience in Intelligent Electronic Systems theory at the level of being able to teach relevant modules at MSc level. 

 

Newcastle University is committed to being a fully inclusive Global University which actively recruits, supports and retains colleagues from all sectors of society.  We value diversity as well as celebrate, support and thrive on the contributions of all our employees and the communities they represent.  We are proud to be an equal opportunities employer and encourage applications from everybody, regardless of race, sex, ethnicity, religion, nationality, sexual orientation, age, disability, gender identity, marital status/civil partnership, pregnancy and maternity, as well as being open to flexible working practices.

The University holds a silver Athena SWAN award in recognition of our good employment practices for the advancement of gender equality. The University also holds the HR Excellence in Research award for our work to support the career development of our researchers, and is a member of the Euraxess initiative supporting researchers in Europe.

We understand how important the full employment package is to our colleagues at Newcastle University and we are committed to providing a great range of benefits and discounts for all.  You can learn more about what is available here on our Benefits Website page.

Requisition ID: 15523