Assistant Professor in Applied Mathematics and Theoretical Physics

School/Department: School of Mathematics 

Job Category and Level: Academic; Assistant Professor

Post status: Tenure Track - This position is Tenure Track position which is 5-years in the first instance, permanency is subject to satisfying the tenure requirements.

Closing Date: 22-Jul-2026 12:00

The Purpose of the Role 

The School of Mathematics at Trinity College Dublin is seeking a candidate for the above post. The appointment will be tenable from January 2027. This is a teaching and research position; the successful candidate will be required to contribute at all levels of teaching and supervision undertaken by the School and will be expected to conduct a vigorous research programme.

Context 

The School of Mathematics is seeking applications for an Assistant Professor in High-performance Computing. The successful candidate will have demonstrated exceptional research promise in Computational Mathematics/Numerical Analysis with experience in High-performance Computing applications. With the opening of this position, we seek to expand our existing research strengths in this direction. The School of Mathematics, which at Trinity includes Theoretical Physics, boasts research groups in Applied and Numerical Linear Algebra (ANLA) as well as a computationally focused high-energy physics group working in Lattice QCD. The School seeks to augment its existing strengths in both Mathematics and Theoretical Physics by further building computational and high-performance computing expertise while complementing the work of our Lattice and ANLA groups. The post combines research and teaching; the appointee will contribute to undergraduate and postgraduate education and supervision, including to students on the School's taught MSc degree in High Performance Computing, with particular interests in candidates who are able to offer/develop lectures complementary to those in our existing M.Sc. in HPC. 

Candidates working in any area within Computational Mathematics/Numerical Analysis will be considered, with preference for those with experience in High-Performance Computing applications. In particular, candidates working in areas concerning large-scale computations in optimisation and stochastic partial-differential equations are encouraged to apply.

Qualifications 

• PhD (Essential).