Lecturer in Computer Science
An outstanding lecturer who can also contribute to our profile, your experience will demonstrate the necessary commitment and enthusiasm to contribute to our teaching and research.
You will teach both at undergraduate and postgraduate levels, develop course materials for online and face to face learning, work flexibly and collaborate effectively with other members of the School. Strong programming skills are required. Your responsibilities will also include actively engaging in high quality research and income generation as well as contributing to the School's research and commercial activities.
You will need an honors degree and Masters degree in computer science or a related subject, as well as a PhD in this subject area. You will have advances knowledge of Graphics Programming and Animation, Audio & Visual Production or Cyber security, Ethical Hacking, Big Data Security. Accompanied by relevant professional and academic experience, you will have strong programming skills. In addition to this you will have teaching experience at higher education level in Computer Science with evidence of successful student learning outcomes.
The School has internationally recognised research pushing the boundaries of theoretical and practical knowledge in Computing and offering novel thinking on how technology can enrich society and enable business to perform at a higher level. The School’s research focuses on tackling challenges related to Big Data and Internet of Things. The main research themes include:
- Machine Learning and Optimisation
- Information Retrieval
- Artificial Intelligence
- Data Visualisation
Researchers from the School actively pursue project opportunities and collaborations related to the strategic priority themes for the university of Oil and Gas, Smart Data, Remote Healthcare and Northern Culture and Design.
The Smart Data Technologies Centre (SDTC) is co-located with the School. The SDTC centre focuses on big data analytics, particularly for the oil and gas sector and aims to secure efficiencies from the use of analytics. We work closely with the DataLab – a Scottish innovation centre, which aims to generate significant economic, social and scientific value from big data. Robert Gordon University hosts one of the DataLab hubs, focusing on Oil and Gas. The School is also a member of the world-leading Scottish Informatics and Computer Science Alliance (SICSA).
A Disclosure Scotland check will be requested for the successful applicant.
Closing Date: 06 November 2016
RESPONSIBLE TO: Head of School
RESPONSIBLE FOR: No supervisory responsibilities
PURPOSE OF POST: The successful applicant will be expected to teach both at undergraduate and postgraduate levels, develop course materials for online and face to face learning, work flexibly and collaborate effectively with other members of the School. Strong programming skills are required. The successful applicant will also be expected to actively engage in high quality research and income generation.
Carries out designated teaching (e.g. via lectures, seminars, tutorials, workshops, laboratory work, field trips, studio work, practicals etc) and assessment duties in areas of expertise, or as otherwise required by the Head of School.
Actively engage in high quality research and income generation including
- disseminating research outputs using a range of media. For example: academic publications, external reports, conference presentations, short courses for knowledge transfer, exhibitions, performances
- working on externally-funded projects or contracts
- assisting with bid-writing or tendering for external funding
- developing external networks nationally and/or internationally
- supervising research students
Participates in the development and preparation of teaching materials.
Provides tutorial personal guidance for students.
Supervises undergraduate and postgraduate projects.
Develops and maintains expertise in subject areas.
Participates in subject and course development.
Participates in curriculum development and, in particular, contributes to the introduction of new methods of teaching and learning.
Undertakes Course Leadership responsibilities, if required, and carries out all duties associated with the management of the course.
Undertakes appropriate administrative responsibilities (e.g. year tutor, student selection, examination organisation, placement organisation, timetabling, maintaining attendance records etc.).
Promotes and markets the School and its courses to local, national and international clientele (including student recruitment).
Maintains working relationships with other Schools/Departments/Units within the University, as necessary, for the smooth operation and continued development of the School and its courses.
Actively participates in and suggests relevant staff development activities.
Actively purses and/or encourages scholarly activities (e.g. writing for publication, developing own knowledge, promote interaction with industry and commerce by establishing externally funded commercial projects, presenting at conferences etc.).
Engages with other staff, wherever possible, in consultancy activities relevant to the School.
Establishes and maintains relevant professional and industrial links, as necessary, for the effective operation of the School's course (e.g. engagement in work of external bodies, educational and professional).
Represents the School on relevant University committees and the School and University on external committees.
Carries out such other related duties as may be required.
Qualifications and Professional Memberships
First Degree - 2:1 Honours degree or above and Master Degree in Computer Science or related subject.
PhD in Computer Science or related subject.
Knowledge and Experience
Solid knowledge in one or more areas at advanced level related to Graphics Programming and Animation, Audio & Visual Production or Cyber security, Ethical Hacking, Big Data Security
Practical knowledge in Computer Science
Strong Programming skills
Relevant professional/academic experience.
Some teaching experience at higher education level in Computer Science with evidence of successful student learning outcomes
Experience of high quality research and/or commercial work in Computer Science.
Qualifications and Professional Memberships
Recognised teaching qualification
Member of relevant professional body or evidence of contribution to the wider profession.
Knowledge and Experience
Knowledge of current learning and teaching approaches, including e-learning.
Evidence of contribution to the wider student experience
Evidence of good pedagogic practice.
Behaviour 1: Communication - Ability to receive, understand and convey information requiring careful explanation and information of a complex or conceptual nature, in a clear and accurate manner
Behaviour 2: Pastoral Care and Welfare - Experience of calming and reassuring those with work/study related problems who may be experiencing distress, dealing with difficult welfare situations or confidential matters and providing support for those in considerable distress or requiring long-term complex support
Behaviour 3: Teaching and Learning Support - Experience of providing standard information or delivering teaching or training, designing content or learning materials within existing frameworks and developing innovative approaches to learning experience and the curriculum
Behaviour 4: Service Delivery - Experience of exploring and adapting a service to meet customers’ expectations and also identifying ways of improving standards
Behaviour 5: Analysis and Research - Experience of identifying or designing data gathering and analytical methods appropriate for each investigation, and producing reports that identify key issues and findings
Behaviour 6: Liaison and Networking - Experience of circulating information in an accurate and timely manner, working across team boundaries to build and strengthen working relationships, leading and developing internal networks to pursue a shared interest and leading and building external networks to enhance the work of the organisation
Lecturer in Computer Science - October 2016.pdf