We have an opportunity for an Associate Lecturer to contribute to teaching and student support on a postgraduate module in 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£71.07 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).
Closing date:1 November 2026, interview date: 12 November 2026.
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.
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Associate Lecturer - Linear and Nonlinear Optimization in Camden Town employer: Birkbeck, University of London
Birkbeck, University of London is an exceptional employer that values its staff and fosters a supportive work culture, particularly in the hybrid and part-time Senior Student Casework Lead role. With a strong commitment to employee development, you will have access to numerous growth opportunities while working in a vibrant academic environment that prioritises student welfare and engagement. The university's location in the heart of London offers unique advantages, including cultural diversity and access to a wealth of resources, making it an ideal place for meaningful and rewarding employment.
Contact Details:
Birkbeck, University of London Recruitment Team
