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PhD in Computational Sciences (Quantum Computing)

This project is now closed.

The Computation-based Science and Technology Research Center (CaSToRC) of The Cyprus Institute, invites applications for three PhD fellowships in the area of quantum computing. Applicants are expected to have a BSc or Master’s degree in in physics, computer science, quantum computing or any other relevant field. Previous research experience, in particular in connection of quantum computing although not a prerequisite, will be considered an advantage.

The doctoral research will be carried out at The Cyprus Institute in Cyprus with short-term secondments in DESY, Germany. The research programme is supported by the European Commission under the newly funded ERA Chair “Quantum Computing for Excellence in Science and Technology (QUEST)” project.

Quantum Computing has seen significant progress over the last 20 years in the development of quantum devices which offer a fundamentally new computing architecture compared to classical computers. Motivated by the rapid advances in quantum computing, QUEST aims to establish a Quantum Computing Hub in Cyprus to exploit Quantum Computing applications in science and technology.

 

The Graduate School

The Graduate School was established in 2010 and is the educational arm of The Cyprus Institute. It is a fully accredited, degree-granting institution of higher education offering exclusively postgraduate programs. It maintains a small number of students that are fully integrated into the research activities of the institute. This provides the students with the opportunity to acquire hands-on training in the use of the latest methods and techniques, have access to state-of-the-art infrastructure and conduct research with internationally recognized research teams.

The successful applicant will be based at the Graduate School of The Cyprus Institute and at the Computation-based Science and Technology Research Center (CaSToRC). The selected person will be enrolled in the PhD program: Computational Sciences.

 

Required Qualifications

Successful applicants should have (or be about to earn) a Master’s degree (or equivalent) in Physics, Computer Science, Computer Engineering, Mathematics or a related field. English language proficiency is also required (see details in the How to Apply Section below for details on application requirements).

 

Financial Support

The successful candidate will be employed as Graduate Research Assistant or receive a stipend in accordance with the current regulations at the Graduate School of the CyI and of the LU.

The exact salary / stipend level to will be confirmed upon appointment.

 

Additional Information

The position will be for 3 years and is open to candidates of any nationality. The successful candidate will be accepted to the PhD in Computational Sciences at The Cyprus Institute starting Fall 2023.

Prospective candidates may contact Prof. Karl Jansen (This email address is being protected from spambots. You need JavaScript enabled to view it.) and Prof. Constantia Alexandrou (This email address is being protected from spambots. You need JavaScript enabled to view it.).

 

How to Apply

Applicants should refer to the CyI website under the PhD in Computational Sciences Admissions section for additional information about the application process and apply online by January 31, 2023.

For details on the admission progress see: https://www.cyi.ac.cy/index.php/education/phd-programs/computational-sciences/phd-admissions.html

When applying through the online application system, in Step 2 of the online application form, applicants must enter the specific PhD Project Code: GS-COS-QC-22-1 in order to be considered for the position.

  1. August 2016
  2. September 2016
For the initial monitoring of the building the SUI CyI research team installed a weather station on the roof, placed sensors inside the building and performed a thermal comfort assessment survey.

1. Climate data monitoring

Exterior
A Vantage Pro2 weather station was placed on the building roof to collect data from the SUI area. Regularly updated information about the climatic conditions could be found on the station webpage: http://www.weatherlink.com/user/suitepakcy/. The weather station base was designed and installed by the CyI technical equipment development team.

Interior
Twelve (12) HOBO data-loggers were placed in the building, for collecting temperature, humidity and light data. The data are collected every 30 minutes and will be elaborated with the HOBOware software.

2. Thermal comfort assessment questionnaire

A survey on occupant comfort satisfaction with the indoor environment in summer was conducted. The questionnaire was based on templates proposed by the HSE (http://www.hse.gov.uk/temperature/index.htm). A third of the total employees were asked and complementary measurements were made using a Heat Stress WBGT (Wet Bulb Globe Temperature) Meter, both for the indoor and the outdoor climatic conditions at the time of the survey.

Images below, from left to right:
Left: The Vantage Pro2 weather station
Middle: HOBO data logger placed in the working place – 1st floor
Right: Completed questionnaire (first page) – Ground floor.

1. Thermal imaging

Thermal images were taken using a T440 Flir thermal camera in order to find missing, damaged, or inadequate insulation, building envelope air leaks, moisture intrusion and other problems. Also, the main sources of radiant temperature were determined.

2. HOBO sensors data collection and analysis

The temperature, humidity, air movement and dew point data from the HOBO sensors were collected and analysed. The mean predicted vote (PMV) was calculated using the CBE Thermal Comfort Tool (http://comfort.cbe.berkeley.edu/EN). In all the spaces under monitoring the people are expected to be in thermal comfort, since all values are within the thermal comfort range of -0.7

Images below, from left to right:
Left: A thermal image from the mezzanine
Right: Graph. Thermal Comfort PMV

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