DEPARTMENT OF MATHEMATICS AND STATISTICS

SPECIAL SCIENTIST POSITIONS (RESEARCH)

Title : Special Scientist (Research)

No. of Position(s) : One (1)

Category : 9 months (September 2026 – May 2027).

Location : University of Cyprus, Nicosia

The Department of Mathematics and Statistics of the University of Cyprus announces a Special Scientist (Research) position in Applied Mathematics with emphasis on Stochastic Differential Equations and/or Optimization and Partial Differential Equations. Employment will be either full time (140 hours/month) or part time (98 hours/month) depending on qualifications (see below).

MINIMAL QUALIFICATIONS:

1. A Bachelor’s or Master’s degree in Mathematics or a relevant field.

2. Expertise in the subjects contained in any of the following three groups:

• Stochastic Differential Equations, Arithmetic Methods for Solving Differential Equations, Regression Analysis, Algorithm Development in Software used for the implementation of Numerical Methods and for conducting Statistical Analyses (all at an undergraduate level).

• Partial Differential Equations, Optimization of functions of multiple real variables, use of Wolfram Mathematica or a similar Mathematical Software (all at an undergraduate level).

• Rigorous Probability Theory with emphasis on Weak Convergence of Random Variables, continuous-time Martingales and Markov Processes, Stochastic Differential Equations (preferably at a graduate level)

DESIRED QUALIFICATIONS: A strong background in all the subjects contained in any two of the above three groups.

DUTIES AND RESPONSIBILITIES

The hired person will work with Dr. Nikolaos Kolliopoulos on one or more small mathematical problems that arise from two different and independent research projects: the first project has been funded by the US National Science Foundation (NSF) and aims to the development of a complete Extreme Value Theory for large systems of interacting Stochastic Differential Equations with possible applications in Finance and Neuroscience, while the second project concerns a Stochastic Optimal Control problem which is open for several decades and is studied in the framework of Machine Learning. The problems could concern both

proofs of theoretical results and combinations of numerical simulations with statistical estimations (with the use of Software). The duties of the person who will be hired will include:

1) A continuous attempt to solve the problems through: 1) studying theories and implementing methods proposed by the supervising professor, and 2) attempts to improve those methods or search for new approaches to some of the problems whenever this is needed and is considered feasible.

2) Weekly or Bi-weekly meetings with the supervising professor to discuss progress and next steps in the attempt to solve the problems.

3) Participation in the write-up of research papers concerning the problems that will be solved.

Depending on the performance of the Special Scientist who will be hired, they may be given the choice to pursue a doctoral degree (Ph.D) under the supervision of Dr. Nikolaos Kolliopoulos, after the end of this employment.

There will also be a provision for participation in a small number of international mathematical conferences, for the purpose of presenting the results that will occur from the Special Scientist’s work.

EMPLOYMENT TERMS

The position is on a contract basis of 9 months (September 2026 – May 2027). The monthly gross salary is equal to € 1703,64 and concerns full-time employment (140 hours/month) if the hired person possesses only a Bachelor’s degree, and part-time employment (98 hours/month) if that person possesses a postgraduate degree as well. From the monthly gross earnings, the University of Cyprus will deduct the relevant sum which corresponds to the contributions of the employee to the various Governmental Funds and, if applicable, income tax. The position does not include a 13th Salary bonus.

Interested candidates should submit the following items, in PDF or Word format, via e-mail to Dr Nikolaos Kolliopoulos (email: [email protected]) by 1/5/2026:

i. Cover letter that specifies their employment availability date

ii. A detailed curriculum vitae in Greek or in English (contact address and telephone number should be included)

iii. Copies of transcripts of BSc/MSc/PhD degree(s)

iv. The names and contact details of at least two University professors from whom references may be requested

For more details and other information, interested individuals may contact Dr Nikolaos Kolliopoulos, by email: [email protected], or telephone: +357 22892611.

The employment of persons who have reached the age of 65 years old, at the commencement date of employment, is prohibited.

Applicants need not be citizens of the Republic of Cyprus. Applicants should however ensure, before applying, that in case they are selected they will be residing in Cyprus on a full-time basis during the employment period and submission of application implies acceptance of this condition.

At least the best three candidates that satisfy the required qualifications, will be interviewed by a 3-member Committee.

Candidates shall be informed of the result of their application by the relevant entity.

The University of Cyprus shall collect and process your personal data according to the provisions of the General Regulation on Personal Data 2016/679 (EU).

The University of Cyprus (UCY) is committed to promoting inclusivity, diversity, and equality, as well as the elimination of all forms of discrimination in order to provide a fair, safe, and pleasant environment for the entire university community, where students and staff members will feel supported both in their professional and personal development, within and beyond their multiple identities. To this end, UCY seeks to create the necessary conditions that will encourage and respect diversity, and ensure dignity both in the workplace and society at large. Moreover, UCY has adopted specific policies to promote equal opportunities, as well as respect and understanding of diversity, while it is committed to promoting and maintaining a working, teaching, and learning environment, free from any form of discrimination, whether direct or indirect.