Call for Applications
Resident Academic Full Time Post in Statistics and Probability
Department of Statistics and Operations Research – Faculty of Science – University of Malta
 

Applications are invited for a Resident Academic full time Post in Statistics and Probability in the Department of Statistics and Operations Research within the Faculty of Science of the University of Malta. 


The appointment will be on initial definite four-year contract of employment. Following the successful completion of the one-year probationary period, the Resident Academic will commence a two-year Tenure Track process. At the conclusion of this two-year period of service, the Resident Academic will be subject to a Tenure Review.

The appointee will be required to contribute to the teaching, research, administration and other activities of the Department of Statistics and Operations Research within the Faculty of Science, and as may be required by the University. 

Candidates must be in possession of a Ph.D. or equivalent research-based doctorate.  The area of specialisation is Statistics and Probability. The applicant will be required to contribute in some of the following areas: statistical inference, limit theorems, bayesian statistics and stochastic processes.  

The applicant must be proficient in English.  

Expertise in any of the following areas will be considered beneficial: spatial and spatiotemporal analysis, empirical processes, measure theory and topological spaces.  

The Resident Academic Stream is composed of four grades, being Professor, Associate Professor, Senior Lecturer and Lecturer.  Entry into the grade of Lecturer or above shall only be open to persons in possession of a Ph.D. or an equivalent research-based doctorate within strict guidelines established by the University.

The annual salary for 2022 attached to the respective grades in the Resident Academic Stream is as follows:

*Professor: €46,163 plus an Academic Supplement of €32,311 and a Professorial Allowance of €2,330
*Associate Professor: €42,372 plus Academic Supplement of €24,758 and a Professorial Allowance of €1,423
Senior Lecturer: €38,358 plus an Academic Supplement of €17,711
Lecturer: €31,885 with an annual increment of €641 to €33,808 and an Academic Supplement of €14,568

*The University will only consider appointing an applicant at the grade of Professor or Associate Professor, when the applicant already holds an equivalent appointment at a University or Research Institute of repute.

The University of Malta will provide academic staff with financial resources through the Academic Resources Fund to support continuous professional development and to provide the tools and resources required by an academic to adequately fulfil the teaching and research commitments within the University.

The University may also appoint promising candidates as Assistant Lecturers provided that these are committed to obtain a Ph.D. An applicant for the post of Assistant Lecturer must already be registered for a Ph.D. and have shown progress to the satisfaction of the selection board that completion will be within the four-year period.

Assistant Lecturer with Masters: €29,739 with an annual increment of €596 to €31,527 and an Academic Supplement of €5,165
Assistant Lecturer: €27,662 with an annual increment of €531 to €29,255 and an Academic Supplement of €4,914

Candidates are required to upload their curriculum vitae, certificates (certificates should be submitted preferably in English) and names and emails of three referees through this form: https://www.um.edu.mt/hrmd/workatum-general

Applications should be received by Friday, 27 May 2022

Late applications will not be considered.

Further Information

General Working Obligations

The conditions of work for a Resident Academic of the University of Malta, are set out in the ‘Collective Agreement for Academic Staff of the University of Malta’ 

Full-time Resident Academic staff are required to give a commitment based on a 40- hour per week with flexible times throughout the year, that is not only during semester time, depending on agreed timetables and distributed reasonably between teaching, academic research and academic administration.

Full-time Resident Academic staff are normally expected to be available for four and a half days per week to deliver their academic duties, meet with students and to participate actively in the academic life of the Department, Institute, Centre or School.

The official lecturing times of the University will be between 08:00 and 20:00 hours. The University may specify that the lecturing load will be conducted predominantly in any specific periods of the day between 08:00 and 20:00 hours.

In accordance with their conditions of employment and in order to meet the requirements of their role, Resident Academic staff are required to work on campus throughout the academic year, except for periods of authorised absence. Consequently, Resident Academic staff are required to reside no more than forty (40) kms from Campus.

The appointment will be subject to a probationary period of one year and to the provisions of the Statutes, Regulations and Bye-Laws of the University of Malta which are now or which may hereafter be in force.


The Department of Statistics and Operations Research

The Department of Statistics and Operations Research forms part of the Faculty of Science.  Since inception, this department has dedicated its efforts to the promotion of the academic disciplines of Probability, Statistics and Operations Research through instruction, research activities and publicity. The Department of Statistics & Operations Research offers courses at both undergraduate and postgraduate level which cater for needs as they arise and develop in local society, and whilst also keeping abreast with current research and trends.  The Department also offers its services to several other Departments and faculties at the University of Malta, in terms of lecturing of study units and in terms of research collaborations.  

The research areas of interest presently being pursued by the Department include:
Stochastic Processes
Operations Research
Statistical Modeling
Levy Processes 
Regularization methods in Regression
Time Series Analysis
Bayesian Statistics
Monte Carlo and Quasi Monte Carlo Simulation
Stochastic Differential Equations
Stochastic Optimal Control
Mathematical Finance
Risk Modeling

The duties which the appointee may be expected to perform are: 

Teaching study units offered by the department as the need arises, including tutorials and seminars, monitoring on projects and other personally undertaken student enterprises
Preparing course materials
Researching and publishing both individually and collaboratively, in priority areas established by the University
Continuous assessment of students, setting and marking of examination papers including dissertations within established time-frames
Participating in the administration of academic affairs at academic and university levels
Contributing to national and regional development particularly in the area of specialisation and through cooperation with governmental, intergovernmental, regional and non-governmental institutions and services
Any other relevant duties as may be required by the University 


The Selection Procedures

The evaluation of qualifications, registration and experience claimed and supported by testimonials and certificates (copies and testimonials to be included with the application).
Short-listing of candidates.
An invitation to short-listed candidates to a Selection Board interview. 
A short presentation on a subject allotted to short-listed candidates.


The Selection Process

The selection process will follow the document “Guidelines for Members of Selection Boards in the Recruitment of Resident Academic Staff” 
(https://www.um.edu.mt/hrmd/policiesprocedures). 

In accordance with the guidelines, members of the Selection Board will establish the following selection criteria for the selection process:

Relevant academic qualifications
Relevant Academic and Work experience
Aptitude and suitability
Performance in interview



Office of the University
Msida, 9 May 2022

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