Assistant Professor in Computer Science

Academic Position in Computer Science

We are seeking to recruit enthusiastic academics with experience of teaching Computer Science, ideally with a background in Data Sciences. The role holder will be additionally expected to build research over time. The role holder is expected to develop strong links to colleagues at the UK and Dubai campuses to deliver high quality learning and teaching, to contribute to the continued development of the programmes offered to students, and to develop research in association with the Academic Schools in the UK.

Programmes will be delivered in English and so fluency in English is essential. An induction programme will be delivered to all new academic staff on Heriot-Watt's standards and values, and to give practical experience on preparation, delivery and assessment of teaching.

Key Duties and Responsibilities

• Undertake teaching, assessment setting and marking on academic programmes. Support colleagues in other campuses in the delivery of courses and other activities to support the delivery of HWUM's aims.
• Develop relevant materials in appropriate formats for the above programmes. Contribute to the content, design and delivery of the curriculum, and the quality of teaching and learning, in consultation with colleagues and within the international structures and mechanisms established by the University. Review teaching design and delivery by obtaining and analysing feedback from students and peers.
• Mentor and supervise students, providing effective, well documented and timely feedback, both formative and summative. Provide pastoral support, recognising when to refer a student for further support. Play a key role in the delivery and support of an excellent student learning experience at HWUM
• Develop the level of subject expertise in line with latest development in research, and ensure these developments are reflected in teaching materials and methods.
• Work collaboratively with colleagues in Malaysia, at other campuses, and with external networks both for the exchange of information, to share learning, and to form relationships for future collaboration.

All HWUM staff endeavours will embody our shared values of:
Inspire, Collaborate, Belong, and Celebrate.

Please note that this job description is not exhaustive, and the role holder may be required to undertake other relevant duties commensurate with the grading of the post and its general responsibilities. Activities may be subject to amendment over time as the role develops and/or priorities and requirements evolve.

Person Specification

This section details the attributes e.g. skills, knowledge/qualifications and competencies which are required in order to undertake the full remit of the role.

Education & Qualifications

Essential:

• PhD in Data Sciences or Computer Science

Desirable:

• Industry experience in related fields

Experience

Essential:

• Minimum 3 years of teaching or training experience.
• Clear communicator with good presentation skills and ability to explain concepts well.

Desirable:

• Experience teaching in higher education.
• Ability to deliver and teach data science courses such as Software Engineering, Knowledge Management, Database Management.

Competencies, Skills & Knowledge

Essential:

• Fluent in English, both written and verbal.
• Able to operate within Heriot Watt University Malaysia and liaise closely with the UK.
• Familiarity with Python.

Desirable:

• An ability to apply knowledge acquired from research into teaching materials and methods.
• Willingness and potential to identify and develop independent/collaborative portfolio of research.
• Familiarity with Java, R, SQL etc.

Essential Criteria – these are attributes without which a candidate would not be able to undertake the full remit of the role. Applicants who do not clearly demonstrate in their application that they possess the essential requirements will normally be eliminated at the short-listing stage.

Desirable Criteria – these are attributes which would be useful for the candidate to hold. When shortlisting, these criteria will be considered when more than one applicant meets the essential criteria.