Assistant Professor(s) or Associate Professor(s) Numerical Analysis - Computational Finance and Fast Solvers for Large (Non-) Linear Systems

Job description

The Department is offering two tenure-track positions at the level of
Assistant Professor. The Assistant Professors will do research in the
area of Numerical Analysis. Within the chair of Numerical Analysis the
following research topics are important: discretization methods for
partial differential equations, computational finance, fast and robust
solvers for large (non) linear systems and implementation of these
methods on High Performance Computers (CPU, GPU, FPGA, etc.). At this
moment we like to strengthen our expertise in Computational Finance and
Fast Solvers for large (non) Linear Systems. The candidates will also be
responsible for teaching and supervising students and interns at various
levels (Bachelor, Master, and PhD). The teaching load is about 50% of
the working time. The Assistant Professor will make direct links between
research and education and will also be responsible for management
tasks, acquisition of research projects, and academic valorisation.
A Tenure Track, a process leading up to a permanent appointment with the
prospect of becoming an Associate or full Professor, offers young,
talented academics a clear and attractive career path. During the Tenure
Track, you will have the opportunity to develop into an internationally
acknowledged and recognised academic. We offer a structured career and
personal development programme designed to offer individual academics as
much support as possible. For more information about the Tenure Track
and the personal development programme, please visit


Research at Delft Institute of Applied Mathematics (DIAM) is conducted
in six research groups: Analysis, Applied Probability, Mathematical
Physics, Numerical Analysis, Optimisation, and Statistics. Our research
on the construction and analysis of mathematical models related to
science and engineering is both fundamental and applied in nature and is
often inspired by technical and societal challenges. We have, for
instance, tackled complex mathematical problems to develop a model for
predicting the flow of ash pollution after a volcano eruption. To come
up with innovative solutions we maintain intensive contact with other TU
Delft departments, technological institutes and research departments.

Besides research, education is an important cornerstone of our
department. We teach the Applied Mathematics BSc and MSc programmes, as
well as mathematics courses within other programmes at TU Delft, and
national programmes such as “MasterMath”. Together with KTH Royal
Institute of Technology (Sweden) and the Technical University of Berlin
(Germany) we have also initiated the international joint Master’s
programme COSSE (Computer Simulations for Science and Engineering).

We value the great atmosphere at our institute and pride ourselves on
our sense of community and the spirit of “getting things done together”,
which we combine with mutual appreciation for individual success. To
foster interaction and cooperation, we organize lunch seminars where
colleagues from the various sections discuss their work, and we arrange
an annual social activity where all staff members interact informally to
get to know each other in a different setting. Our open and transparent
way of communicating is reflected in the way we interact with one
another and forms the basis for the way we work together to help each
other achieve our goals as a team.


Candidates should show promise and the potential to be leading
researchers and inspired and dedicated teachers. The candidates should
have a PhD degree in Mathematics or a related discipline, and preferably
post-doctoral experience. They have proven track records in Numerical
Analysis, visible from refereed publications in high-quality journals.
For one position, the focus is on Computational Finance, for the other
on Fast Solvers for large (non) Linear Systems. The candidates have also
shown themselves able to collaborate with researchers in application
areas, e.g. related to the engineering disciplines of the TU Delft. The
university sets specific requirements for the English competence of the
faculty, and offers training to improve the level if that should be
necessary. In addition, applicants should be willing to learn Dutch.

Conditions of employment

For candidates at the Assistant Professor level we offer an initial
temporary position for a year with the prospect of a permanent contract.
The duration of the temporary position is depending on (academic)
experience. At the start of your employment, you will create a
development in consultation you’re your and the hr advisor in which
expected performance and (soft) skills criteria are formulated. You will
receive formal feedback on performance and skills during annual
assessment meetings and during a formal evaluation after a maximum of
2.5 years. If the performance and skills are evaluated positively, you
will be employed in a permanent Assistant Professor position.
For candidates at the Associate Professor level we offer an initial
temporary position of one year with the prospect of a permanent
contract. After a positive performance assessment, you will be employed
in a permanent Associate Professor position.
The salary range for an Assistant Professor position is 3.746 – 5.826
euro gross per month. The salary range for an Associate Professor
position is 5.190– 6.940 euro gross per month. Starting salary for
Assistant and Associate Professor is based on level of knowledge and
(postdoctoral) experience.
TU Delft offers a customisable compensation package, a discount for
health insurance and sport memberships, and a monthly work costs
contribution. Flexible work schedules can be arranged. An International
Children’s Centre offers childcare and an international primary school.
Dual Career Services offers support to accompanying partners. Salary and
benefits are in accordance with the Collective Labour Agreement for
Dutch Universities.
TU Delft sets specific standards for the English competency of the
teaching staff. TU Delft offers training to improve English competency.
Inspiring, excellent education is our central aim. If you have less than
five years of experience and do not yet have your teaching certificate,
we allow you up to three years to obtain this.

TU Delft (Delft University of Technology)

Delft University of Technology is built on strong foundations. As
creators of the world-famous Dutch waterworks and pioneers in biotech,
TU Delft is a top international university combining science,
engineering and design. It delivers world class results in education,
research and innovation. For generations, our engineers have proven to
be entrepreneurial problem-solvers both in business and in a social
context. TU Delft offers 16 Bachelor’s and 32 Master’s programmes to
more than 23,000 students. Our scientific staff consists of 3,500 staff
members and 2,800 PhD candidates. Together we imagine, invent and create
solutions using technology to have a positive impact on a global scale.

Faculty Electrical Engineering, Mathematics and Computer Science

The Faculty of Electrical Engineering, Mathematics and Computer Science
(EEMCS) brings together three disciplines - electrical engineering,
mathematics and computer science. Combined, they reinforce each other
and are the driving force behind the technology we use in our daily
lives. Technology such as the electricity grid, which our faculty is
helping to make future-proof. We are also working on a world in which
humans and computers reinforce each other. We are mapping out disease
processes using single cell data, and using mathematics to simulate
gigantic ash plumes after a volcanic eruption. There is plenty of room
here for ground-breaking research. We educate innovative engineers and
have excellent labs and facilities that underline our strong
international position. In total, more than 1,100 employees and 4,000
students work and study in this innovative environment.

Additional information

For more information about this position, please contact Marco Emons,
Department Secretary: +31 (0)15-2789242, email: or
Prof. Kees Vuik, Full Professor of Numerical Analysis, phone: +31
(0)15-2785530, email: C.
For information about the selection procedure, please contact Miriam
Heemskerk MSc, HR-Advisor, email:

Application procedure

Please email a detailed CV that includes a list of publications, contact
information of at least three scientists whom we can contact for letters
of recommendation, and a research and teaching statement along with a
letter of application to When applying
please mention the vacancy number.

A pre-employment screening can be part of the application procedure.

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