Associate Lecturer - Linear and Nonlinear Optimization

We have an opportunity for an Associate Lecturer to contribute to teaching and student support on a postgraduate module in Linear and Nonlinear Optimization.

The successful candidate will contribute to teaching and supporting students across a range of optimization methods and techniques, including:

• Linear programming, including geometrical concepts and graphical solutions
• The simplex method and interior-point methods
• Integer programming and network optimization
• Nonlinear optimization and algorithms for one-dimensional optimization
• Newton and quasi-Newton methods
• Lagrangian methods and the Kuhn–Tucker conditions
• The Generalized Reduced Gradient method
• Steepest descent methods and their limitations
• Quadratic programming and solution methods
• An introduction to penalty functions
• Applications of optimization techniques to practical problems

You will have an excellent grasp of university-level mathematics and statistics, together with experience supporting students in rigorous computational and analytical problem-solving. Previous teaching or academic experience in optimization, particularly in one or more of the areas listed above, would be highly desirable.

Please refer to the person specification for further selection criteria.

Remuneration:

Payment is based on an hourly rate depending on length of continuous service with the College (starting rate £69.68 per hour inclusive of pro-rata London Allowance and holiday pay) for contact hours worked. This hourly rate is based on the starting point of Grade 7 and is inclusive of a ‘Duties Related to Teaching Multiplier’ at 2.5, which covers preparation, teaching, administration, assessment marking and other examining duties in connection with the course.  

Contract:

Fixed-term contract (January to April 2027). Part-time (3 teaching hours per week, Thursdays 6-9pm). Please submit a CV for consideration.

Closing date:1 November 2026, interview date: 12 November 2026. 

Enquiries:

If you would like to know more about the role, please click on apply below or contact Dr. Swati Chandna, Senior Lecturer in Statistics, at s.chandna@bbk.ac.uk.

If you have technical issues or difficulties using the recruitment portal, please contact jobs@bbk.ac.uk, providing your name and the job reference number of the position.

While we are happy to respond to all informal enquiries, only formal applications through the online system will be considered.

We welcome applicants from all sections of the community. The College is committed to improving the gender and cultural diversity of its workforce, holding an Athena SWAN award and operating Disability Confident & Mindful Employer schemes.