Part time Lecturer in Data Analytics

Job title: Part time Lecturer in Data Analytics

Location:  De Montfort University - Dubai 

Salary: 15,000 AED – 25,000 AED per month 

De Montfort University is an ambitious, globally-minded university with a strong focus on delivering quality teaching and learning, and a campus-wide focus on providing a sector-leading student experience.

DMU has a commitment to the public good. We strive to maintain a stimulating and inclusive environment where staff and students are able to thrive. Our success is built on a fantastic student experience coupled with award-winning teaching and world-class facilities that help students develop the skills and attitudes employers demand. 

Faculty/ Directorate

The Faculty of Computing, Engineering and Media has an excellent reputation for teaching quality across a wide range of undergraduate, postgraduate and professional courses. Excellent teaching is at the heart of our commitment to professional, creative and vocational education. 

The Role requirements: 

To provide excellent teaching to the university in the relevant areas of expertise. 

Of particular interest are applicants who can teach in Artificial Intelligence modules such as Fuzzy Logic, Mobile Robotics, Computational Intelligence Optimisation and Deep Learning, and laboratories related to Artificial Intelligence. To be an active citizen of the subject group and the Department and work closely with local business communities. 

In addition to the Job Description and Person for the role of Lecturer there are additional specific duties and/or skills/expertise that are required.

Specialist duties, responsibilities, qualifications and skills/experience  
To provide excellent teaching to the university in the relevant areas of expertise. Of particular interest are applicants who can teach one or more of the following: 

Essential Criteria

• PhD in Data Analytics/Data Science/Data Engineering or closely related.
• At least 2 years of teaching experience in teaching modules related to Data Analytics/Data Science.
• Demonstrate strong competency and skills to develop and deliver PG modules (such as Business Intelligence Systems Applications & Development, Analytics Programming using Python & R, Big Data Analysis, Advanced Machine Learning Algorithms) and laboratories Data Analytics.
• Experience in Data Analytics software & tools like SPSS, SAS, R, Python language, Power BI or any other Analytical programming languages. 
• Record of good research publications.
• Provide support in student recruitment and community engagement.

Desirable Criteria

• Experience of leading (or having notable involvement) a successful accreditation / validation for an academic programme
• Experience in providing student support at HE level
• Industry experience - with extensive contacts, knowledge, and expertise
• Having teaching qualification, e.g. Fellowship HEA

If you want further information about the job, please contact Dr Fuad Khoshnaw, fuad.hassankhoshnaw@dmu.ac.uk the Subject Head of Science, Engineering and Computing at DMU Dubai campus.

How to apply

To apply for the role, you must submit a CV and cover letter, addressing the job description and person specification within the cover letter by emailing careers.dubai@dmu.ac.uk. 

In your cover letter please state which type of employment you are seeking, your notice period / availability to start – and details of your current salary / rate of pay.

The closing date for applications is midnight (BST) on Sunday 4 September 2022.

Additional Information 

De Montfort University (DMU) is an ambitious, globally minded and culturally rich university. People are at the heart of DMU. We place being a truly inclusive university at the centre of everything we do. Every single staff and student at DMU is different. Critical to our success as a university is the understanding that the diversity of staff, students and the community we serve enhances our strength, opportunities and creativity. It is our intention to ensure that job applicants and staff are treated solely on the basis of their merits regardless of age, disability, sex, sexual orientation, gender reassignment, race, ethnic or national origin, religious or political beliefs or family circumstances.