Associate Lecturer - Linear and Nonlinear Optimization

Birkbeck University of London; Camden Town; Presencial; GBP 96.000 - 110.000; A tiempo parcial

Descripción de la vacante

Birkbeck University of London invites an Associate Lecturer to contribute to teaching and student support on a postgraduate module in Linear and Nonlinear Optimization. You will address a wide set of optimization techniques, work with rigorous problem-solving, and support students through complex coursework.

The role is fixed-term (January to April 2027), part-time (3 teaching hours per week, Thursdays 6-9pm) with an hourly rate starting at £71.07 including London Allowance and holiday pay,

Formación

• Strong university-level mathematics and statistics understanding.
• Experience supporting students in rigorous computational and analytical problem-solving.
• Teaching or academic experience in optimization is highly desirable.

Responsabilidades

• Contribute to teaching and supporting students on a postgraduate module in Linear and Nonlinear Optimization.
• Teach a range of optimization methods and techniques including linear programming, simplex/interior-point methods, and nonlinear optimization.
• Assist with assessment, feedback and examination duties related to the module.
• Provide pastoral and academic support to students pursuing the course.

Conocimientos

Linear programming

Simplex method

Interior-point methods

Integer programming

Nonlinear optimization

Newton and quasi-Newton

Kuhn–Tucker conditions

Lagrangian methods

Steepest descent

Quadratic programming

Penalty functions

Descripción del empleo

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.