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The Cyprus Institute Graduate School Summer 2020 Internship Program

Due to the coronavirus pandemic, many of the projects will be able to be offered remotely, if necessary. See each project below for details.

internships
Through the Summer Internship Program, The Cyprus Institute Graduate School aims to expose young talented students and scholars to an international research experience and to encourage and inspire them in the pursuit of a scientific career. Interns will have a unique opportunity to carry out research at the institute's state-of-the-art facilities supervised by a mentor and to be introduced to the use of the latest methods and techniques.  
During the application process, students will have the option to either: 

(1) select one project from the table below or
(2) suggest a project of interest*
*students who propose their own suggested project must note that this will be considered, provided that the institute has the capacity in terms of supervision and facilities 

Applications are welcome from candidates worldwide with a keen interest and a relevant scientific background. 

Students who are accepted to the program will be assigned to one project. 

All applicants will be asked to justify their selection in a 300-word statement on the online application form.

 
Summer Internship Projects:

Thematic domain

Spatial Visualization

Project title

Immersive Visualisation of Urban Heritage

Remote option

If necessary, this project can be offered remotely, depending on the developments relating to the current pandemic

Start date

The project should begin on July 1 or August 1 

Duration

8 weeks

Program objectives

The main objective of this research is to capture and visualise the complex realities of historic urban environments in Mediterranean cities, and at the same time to engage users and local communities in the creative aspects of these patrimonies’ management. In doing so this research contributes to practices of social inclusion by promoting resilience and fostering cultural rights in the city through the use of co-design practices and citizen engagement. The motive that drives the development of this research is to enrich the agenda for the holistic development of cities by approaching built heritage as a dynamic assemblage of events, activities, performances and identities that relates to space as well as people. In the context of STARC, and specifically the activities of its Virtual Environments Lab, we develop immersive visualisations of historic sites that could be used for the cross-disciplinary study of complex and contested urban realities and better integration of heritage in the everyday life of contemporary cities. This research builds on the premise that built heritage could be promoted in such a way that it would offer interesting everyday experiences and contribute to the well-being and quality of life of citizens.

Expected results Contributions to 3D modelling and Virtual Reality applications

Project mentor

Dr George Artopoulos

Other CyI people involved

Marissia Deligiorgi, Nicolas Louca, Mohammed Saleh Rafat

Backround requirements Skills in 3D modelling, Autodesk 3ds max, Maya, Unity or Unreal

Financial aid availability

A stipend may be awarded to strong applicants

Thematic domain

Computational Science / Machine Learning / Bioinformatics

Project title

Unsupervised Feature Extraction of Protein Sequences using Advanced Machine Learning Methodologies

Remote option

If necessary, this project can be offered remotely, depending on the developments relating to the current pandemic

Start date

The proposed program dates are: 01/07/2020 - 31/08/2020 but there is some flexibiltiy in the dates

Duration

8 weeks

Program objectives

- Optimization of reading and writing FASTA files
- By using advanced machine learning and deep learning methodologies for the  analysis and feature extraction of protein sequences without any prior knowledge

Expected results

A model for automatic extraction of protein sequences features

Project mentor

Dr Charalambos Chrysostomou

Other CyI people involved

Dr Mihalis Nicolaou

Background requirements

The applicant need to be at-least in the 3rd year of his/her Bachelor studies, with previous experience in programming and basic understanding of machine learning methodologies.
Financial aid availability

No financial aid is available for this project

  

Thematic domain

Solar Concentration Technology

Project title

Solar Concentration Technology in the Built Environment

Remote option

If necessary, this project can be offered remotely, depending on the developments relating to the current pandemic

Start date

June 1 

Duration

8-12 weeks

Program objectives

- Define a ray-tracing model of the Fresnel collector at the Cyprus Institute with Tonatiuh or other ray tracing software using eventually the HPC facility
- Refine the thermal modelling of the Fresnel collector
- Improve the techno economic modelling of the Fresnel collector
- Implement Labview as a SCADA with TIA portal (PLCS), controls of the oil loop
- 3D drawing of the Fresnel collector in FreeCAD or NX Siemens

Expected results

- Redefinition of the exhaustive Incident Angle Modifiers of the Fresnel collector at the Cyprus Institute. Exploration of potential upgrades
- Thermal modeling of the facility with TRNSYS, open Modelica and/or Matlab Simulink
- Definition of the levelized cost of Heat of an hybridized Fresnel collector for the built environment
- SCADA implementation to ease the end user operation and generation of a data base
- 3D modeling of the Fresnel collector for 3D printing purpose

Project mentor

Dr Alaric Montenon

Other CyI people involved

N/A
Background requirements N/A

Financial aid available 

No financial aid is available for this project

Thematic domain

Archaeological Science

Project title

Digital Reference Collections for Archaeological Science

Remote option

This project cannot be offere remotely

Start date

The project will begin on June 1 and end on July 17

Duration

6 weeks

Program objectives

Expansion of digital reference collections for plant microremains (starches, phytoliths), macroremains (archaeobotanical material), human bones and archaeological materials.

Expected results

Scientific: Open access digital reference collections that will promote the study of the interaction between humans, environment and material culture
Learning Outcomes: Training in cutting edge 3d documentation methods and in sample preparation for microscopic analysis

Project mentor

Dr Efthymia Nikita

Other CyI people involved

Dr Evi Margaritis, Dr Thilo Rehren 

Background requirements No (training will be provided)

Financial aid available

A small stipend may be awarded based on merit.

 

Thematic domain

Mechanical Engineering / Concentrating Solar Thermal (CST) Energy Systems

Project title

Design and Optimization of Solar Thermal Power System Components

Remote option

If necessary, this project can be offered remotely, depending on the developments relating to the current pandemic

Start date

Flexible (within period June 1 to September 30)

Duration

8 weeks

Program objectives

Modeling, analysis, design and optimization of new thermal components of CST Systems i.e. receiver, thermal storage, heat exchangers, piping etc. 

Expected results

The student will gain a strong understanding of the concepts of Concentrating Solar Power (CSP) and hand-on experience on thermodynamics, heat transfer and fluid mechanics and on the thermomechanical modelling of CSP components in real world applications.

Project mentor

Dr Kypros Milidonis

Other CyI people involved

Dr Manuel Blanco, Dr Victor Grigoriev

Background requirements Mechanical Engineering, Electrical Engineering, or Physics students, preferably in their two final years of their Bachelor or diploma degree.
Students with more qualifications are welcome while students within the first years of their study can be also considered.

Financial aid available

No financial aid available

 
Thematic domain Mechanical / Aerospace Engineering / Concentrating Solar Thermal (CST) Energy Systems
Project title Airborne Characterization of Heliostat Fields using Drones
Remote option If necessary, this project can be offered remotely, depending on the developments relating to the current pandemic
Program dates Flexible (within the period June 1 to September 30)
Project duration 8 weeks
Program objectives  
Assist in the definition, design and prototyping of heliostat field characterization methods using unmanned aerial vehicles (drones) and specially designed sensors. 
 
Expected results  
The student will gain a strong understanding of the concepts of Concentrating Solar Power (CSP) and hand-on experience on the characterization of heliostat fields using sensors mounted on drones.  
 
Project mentor Dr Kypros Milidonis
Other CyI people involved Dr Manuel Blanco, Dr Victor Grigoriev
Background requirements Mechanical/Electrical/Electronic/Aeronautical/Aerospace/Software Engineering students preferably on their two final years of their Bachelor or Diploma degree.

Students with more qualifications are welcome while students within the first years of their study can be also considered.

Financial aid available  No financial aid is available for this project

Thematic domain  Monte Carlo Simulation, Lattice Quantum ChromoDynamics, Computational Physics
Project title Higher Order Integrator in Lattice Hybrid Monte Carlo Simulations
Remote option If necessary, this project can be offered remotely, depending on the developments relating to the current pandemic
Start date

The program will take place during the time period 16 June and 29 August (for 8 weeks)- the dates are flexible within this time period.

Duration 8 weeks
Program objectives Introduction to Monte Carlo Simulation Techniques in Lattice QCD and to high performance computing
Expected results An analysis of higher order OMF integrators for molecular dynamics in HMC simulations
Project mentor Dr Jacob Finkenrath
Other CyI staff involved Dr Constantia Alexandrou
Background requirements The applicant need to have a solid background in mathematics or/and physics and must be at least in her/his last year of his Bachelor. The software implementation will be done using “C” or “matlab”. A basic knowledge of programming language, like “C” or “matlab” is recommended.
Financial aid available TBD

Thematic domain

Iterative Linear Solvers, Lattice Quantum ChromoDynamics, Computational Physics

Project title Communication-Avoiding Conjugate Gradient solver in Lattice Quantum ChromoDynamics
Remote option If necessary, this project can be offered remotely, depending on the developments relating to the current pandemic
Start date The program will take place during the time period 16 June and 29 August (for 8 weeks)- the dates are flexible within this time period.
Duration 8 weeks
Program objectives

Introduction to iterative linear solver techniques in Lattice QCD and to parallel programming with MPI (if needed) 

Expected results Testing and implementation of the communication-avoiding conjugate gradient solver in tmLQCD/DdalpaAMG
Project mentor Dr Jacob Finkenrath
Background requirements The applicant need to have a solid background in mathematics or/and physics and must be at least in her/his last year of his Bachelor. For the implementation a basic knowledge of “C” is required. 
Other CyI staff involved Dr Constantia Alexandrou
Financial aid available TBD

Thematic domain Heat Transfer and Thermodynamics
Project title Heat Exchanger Modeling for Solar Energy Applications
Remote option If necessary, this project can be offered remotely, depending on the developments relating to the current pandemic
Start date  June 1 or any other date within the June 1 to September 30 program period (flexible).
Duration 8 weeks
Program objectives The projects aims at developing mathematical models for various heat exchange processes in the field of solar energy. Towards this scope, the intern(s) will work under the guidance of Dr Costas Marakkos in formulating the relevant models, and compare the predictions with existing experimental data.
Expected results It is expected that the work will lead to an international congress and/or scientific journal publication.
Project mentor  Dr Costas Marakkos                         
Other CyI staff involved  N/A
Background requirements The applicant should have completed at least his/her 1st year of Bachelor’s degree in Mechanical, Electrical Engineering or Physics.
Basic experience in programming languages such as MATLAB 
Financial aid available No financial aid is available for this project

Thematic domain

Climate Impacts on Vector-borne Diseases

Project title

Integrating Environmental Drivers to the Mathematical Models of Vector Populations

Remote option If necessary, this project can be offered remotely, depending on the developments relating to the current pandemic

Start date

Ideally June 1 to August 1 (but the dates are flexible as long as the program lasts anywhere from 6 to 9 weeks)

Duration

Ideal duration: 9 weeks

Program objectives

Climate and human activities such as land use change and global trade, as well as the phenotypic plasticity of vectors and pathogens give rise to uncertainties regarding the habitats and distribution ranges of disease vectors and vector-borne pathogens. Understanding the environmental dependency of vectors and pathogens is important for developing predictive models and helping to prevent or effectively manage future disease outbreaks.

This project aims to introduce the intern to the rigor of mathematical approaches and their use in developing tools for improving the understanding of complex biological systems and their intricate dependency to the environment. The intern will focus on one of the many topics of interest, such as the dynamics of mosquito breeding sites or the effect of daylight in cold hardiness, derive logical conclusions from the literature, and construct, analyze, and visualize mathematical models helping to improve our understanding and the accuracy of our predictions.

References:


Erguler K. sPop: Age-structured discrete-time population dynamics model in C, Python, and R [version 2; peer review: 2 approved]. F1000Research 2018, 7:1220

Erguler K, Smith-Unna SE, Waldock J, Proestos Y, Christophides GK, et al. (2016) Large-Scale Modelling of the Environmentally-Driven Population Dynamics of Temperate Aedes albopictus (Skuse). PLOS ONE 11(2): e0149282

Expected results The intern will have a basic introduction to the following:

1. Mathematical modelling for ecosystems and vector-borne/infectious diseases

2. Predictive model development for improving understanding of the environmental drivers of vector-borne diseases

3. Introduction to mathematical model development, analysis, and visualization in R

Project mentor

Dr Kamil Erguler

Other CyI staff involved

Dr Pantelis Georgiades, Dr Maria Christou, Dr Angeliki Martinou

Background requirements

N/A

Financial aid available

No financial aid is available for this project

Thematic domain

Climate Impacts on Vector-borne Diseases

Project title

Mathematical Modelling of Mosquito Control Strategies involving Genetically Modified (GM) Mosquitoes
Remote option If necessary, this project can be offered remotely, depending on the developments relating to the current pandemic

Start date

Ideally June 1 to August 1 (but the dates are flexible as long as the program lasts anywhere from 6 to 9 weeks)

Duration

Ideally 9 weeks

Program objectives

The Asian tiger mosquito (Aedes albopictus), is an important vector of many arboviral human diseases, such as dengue, yellow fever and chikungunya. Furthermore, it is able to invade and establish populations in both tropical and temperate climates, as well as urban and rural environments. Over the past decades, a significant geographical spread of the species has been observed, which imposes a major risk on human health. Recently, the use of genetic tools has gained traction in controlling tiger mosquito populations, and preliminary field studies showed promising results [1]. We have developed an age-structured discrete-time population dynamics model, which can be used to simulate environment-driven mosquito population dynamics [2]. In this project, utility of this model in representing GM vector control strategies will be investigated. The overarching aims of this project are to:

expand this model in order to simulate mosquito populations in different locations and

expand the model to include genetically modified mosquito populations and explore the effects of their introduction to wild-type populations [3].

References

Zheng, X., Zhang, D., Li, Y., Yang, C., Wu, Y., Liang, X., … Xi, Z. (2019). Incompatible and sterile insect techniques combined eliminate mosquitoes. Nature, 572(7767), 56–61. https://doi.org/10.1038/s41586-019-1407-9

Erguler, K. (2018). sPop: Age-structured discrete-time population dynamics model in C, Python, and R. F1000Research, 7, 1220. https://doi.org/10.12688/f1000research.15824.2

Sanchez, H. M., Wu, S. L., Bennett, J., & Marshall, J. M. (2018). MGDrivE : A modular simulation framework for the spread of gene drives through spatially-explicit mosquito populations. BioRxiv, 1–18.

Expected results

The intern will be guided to: gain experience in mosquito population dynamics and its environmental dependence, be able to mathematically model and simulate mosquito populations, and use R or Python to perform spatiotemporal model simulations of mixed (wild-type and GM) mosquito populations.

Project mentor

Dr Kamil Erguler

Other CyI staff involved

Dr Pantelis Georgiades, Dr Maria Christou, Dr Angeliki Martinou

Background requirements

N/A

Financial aid available

No financial aid is available for this project

Thematic Domain Hydrology and Environmental Sciences
Project title Hydrological Processes in Natural and Agricultural Ecosystems
Remote option This project cannot be offered remotely
Start date Selected interns may do their project any time during the normal summer internship period (June 1 to September 30) as long as their project is of 8 weeks (minimum) to 17 weeks maximum duration. Applicants may select their preferred dates on the applicaiton form.
Duration 8 weeks minimum to 17 weeks maximum
Program objectives Quantifying hydrological processes in natural and agricultural ecosystems through the collection and analysis of data with state-of-the-art, scientific equipment. 
Expected results  - Gaining practical skills and knowledge in hydrological and environmental field observations (stream flow, soil moisture, precipitation, evapotranspiration, irrigation, tree sap-flow, leaf water potential, interception, soil properties);

- Getting familiar with scientific sensors and equipment (meteorological station, flux tower, electromagnetic stream flow velocity sensor, soil moisture sensors, porometer, sap-flow sensor, leaf water potential with pressure chamber, optical leaf area analyzer, data loggers); 

- Gaining practical skills in experimental data collection and processing in hydrological and environmental sciences.
Project mentor Dr Hakan Djuma
Other CyI staff involved Melpo Siakou, Dr Marinos Eliades, Dr Christos Zoumides, Dr Adriana Bruggeman
Background requirements Bachelor or Master students in hydrological, agricultural or environmental sciences.
Financial aid available No financial aid availble 

Thematic domain Sustainability and the Built Environment
Project title Simulation-based Optimization Applied to Support the Design of a Nearly Zero Energy Building under Future Climate Projections
Remote option If necessary, this project can be offered remotely, depending on the developments relating to the current pandemic
Start date June 8 (the start date can be flexible by plus 1 or minus 1 week)
Duration 8 weeks
Program objectives Nearly zero energy buildings (nZEB) aim at meeting several requirements from different fields. Often, such requirements are antagonistic, and the designer cannot identify the most suitable building variant in a simple way. Algorithm-driven optimization techniques explore the huge problem space of available building variants in a reasonable time span and provide the analyst/designer a trade-off between optimal building variants according to input data vector.
Furthermore, the optimization problem will be investigated under future climate projections to assess its robustness against climate uncertainty.
Expected results

- Developing an automatic simulation-based optimization experiment to identify optimal (or near-optimal) nZEBs in the Nicosia climate

- Identify the technical solution to achieve the Zero energy target

- Extract a list of recommendations

- Investigating the robustness of the building concept against climate uncertainty
Project mentor  Dr Salvatore Carlucci and Dr Jean Sciare
Other CyI staff involved  Dr Panos Hadjinicolaou, Dr Theodoros Christoudias, Dr George Zittis
Background requirements  Applicants for this project should be in graduate school
Financial aid available  A small stipend may we awarded based on merit

Thematic domain

Sustainability and the Built Environment

Project title

Environmental Monitoring and Assessment of a Nearly Zero Energy Building: The Novel Technologies Laboratory at CyI

Remote option This project cannot be offered remotely

Start date

June 15 (start date is not flexible for this project)

Duration

8 weeks

Pogram objectives

ZEBs are complex and high-performance buildings with a low energy use covered on a great extent by electricity generated by renewable energy sources. But, together with a statement based on the energy balance, monitoring of indoor environmental quality is a key issue to verify whether a building provides an acceptable comfort level with respect to occupants’ needs and expectations and to detect critical environmental conditions, vulnerabilities and potential improvements. Then, actual indoor conditions can be assessed using (time-dependent) short-term metrics and (time-integrated) long-term metrics.
Surveys will be developed and administrated to assess people’s thermal experience in the NTL.

Expected results

- Carrying out performance assessment during the operation of a ZEB on the base of monitoring data.

- Provide an estimation of thermal sensation and acceptability perceived by building occupants.

- Detect critical environmental conditions.

Project mentor

Dr Salvatore Carlucci and Dr Despina Serghides

Other CyI staff involved

N/A

Background requirements The applicant should be in graduate school (MSc or PhD)

Financial aid available

TBD


Thematic domain  Computational Science and Engineering
Project title  Parameter Estimation for Wetting Hydrodynamics using Machine Learning Techniques
Remote option If necessary, this project can be offered remotely, depending on the developments relating to the current pandemic
Start date Proposed start date is July 1 but is flexible as long as the proposed program will take place during the time period 1 July and 30 September (for 8 weeks). The dates are flexible within this time period.
Duration  8 weeks
Project objectives The project is an exploratory investigation into the use of data from dynamic simulations to estimate system parameters using machine learning methodologies. These ideas will be used in the context of wetting hydrodynamics and the study of droplet dynamics in heterogeneous environments.
Expected results Estimation of system parameters using data from simulations.
Project mentor Dr Nikos Savva
Other CyI staff involved Dr Charalambos Chrysostomou, Dr Mihalis Nicolaou
Background requirements The applicant needs to have a solid background in mathematics or/and physics and must be at least in the last year of her/his Bachelor studies. A basic knowledge of a programming language, such as “C” or “python”, and in machine learning methodologies is recommended.
Financial aid available A stipend may be awarded based on merit.
 
Thematic domain Computational Science and Engineering 
Project title Iterative Solvers for Partial Differential Equations
Remote option If necessary, this project can be offered remotely, depending on the developments relating to the current pandemic
Start date  Proposed start date is July 1 but is flexible as long as the proposed program will take place during the time period 1 July and 30 September (for 8 weeks). The dates are flexible within this time period.
Duration 8 weeks
Project objectives The project aims to introduce students to the development of iterative solvers and their application in the context of nonlinear partial differential equations encountered across science and engineering.
Expected results Development of an efficient iterative solver and a suite of tools applied to the numerical solution of nonlinear partial differential equations.
Project mentor Dr Nikos Savva
Other CyI staff involved Dr Giannis Koutsou
Background requirements The applicant needs to have a solid background in mathematics or/and physics and must be at least in the last year of her/his Bachelor studies. A basic knowledge of a programming language, such as “C” or “python” is recommended.
Financial aid available A stipend may be awarded based on merit.

Thematic domain Computational Science and Engineering, Molecular Simulations, Data Analytics 
Project title Atomistic Simulations of Graphene-based Polymeric Nanostructured Materials
Remote option This project cannot be offered remotely
Start date July 1 (but flexible as long as it takes place for 8 weeks during July 1 to Sept 30)
Duration 8 weeks
Project objectives Introduction to atomistic simulations of complex materials. The main goal of the project is to perform molecular dynamics simulations of polymer/graphene interfacial systems, and to extract properties at the atomic/molecular level. Simulation data will be analyzed using statistical mechanics and data mining tools, to study the effect of the interface on the behavior of the hybrid nanostructured materials.
Expected results Properties of the polymer/graphene interfacial systems at the nano-scale.
Project mentor Dr Vagelis Harmandaris
Other CyI staff involved N/A
Background requirements The applicant needs to have a solid background in mathematics or/and physics and must be at least in the last year of her/his Bachelor studies. A basic knowledge of a programming language, such as “C” or “python”, and in machine learning methodologies is recommended.
Financial aid available A stipend may be provided based on merit.
 
Thematic domain Computational Science and Engineering, Molecular Simulations, Data Analytics
Project title Parameterizing Molecular Force-fields via Advanced Machine Learning Methodologies
Remote option This project cannot be offere remotely
Start date July 1 (but flexible as long as it takes place for 8 weeks during July 1 to Sept 30)
Duration 8 weeks
Project objectives Introduction to molecular simulations and data analytics methods for complex materials. The main objective of the project is to parametrize interaction between atoms/molecules using advanced deep learning methodologies and physics-based models, without invoking any experimental data.
Expected results A methodology for automatic parametrization of molecular simulation force fields.
Project mentor Dr Vagelis Harmandaris 
Other CyI staff invloved N/A
Background requirments The applicant needs to have a solid background in mathematics or/and physics and must be at least in the last year of her/his Bachelor studies. A basic knowledge of a programming language, such as “C” or “python”, and in machine learning methodologies is recommended.
Financial aid available A stipend may be provided based on merit.
 
Thematic domain Concentrating Solar Power and Desalination Plant 
Project title  Hands on experience and participation in experiments implemented in the PROTEAS facility
Remote option If necessary, this project can be offered remotely, depending on the developments relating to the current pandemic
Start date June 1 (this start date is flexible)
Duration 8 weeks
Project objectives Hands on experience with a demonstration Concentrated Solar Power and Desalination plant
Expected results Actively involved in experiments. Gain experience in experimental campaigns and in designing and executing experiments.
Project mentor Dr. Marios C Georgiou
Other CyI staff involved Dr. Costas Marakkos, Marios Constantinou, Dimitris Alambritis, Martha Kourouyianni
Background requirements Applicant must be a mechanical engineering, electrical engineering, or physicist student, preferably in their final year of their Bachelor's degree. Applicants with additional qualifications are welcome to apply.
Financial aid available Only in exceptional cases
 
Thematic domain Mechanical/Aeronautical Engineering / Concentrated Solar Power (CSP) plants 
Project title Computational Fluid Dynamics (CFD) simulations for investigating natural convection thermal losses within solar receivers used in Concentrated Solar Thermal (CST) tower plants
Remote option If necessary, this project can be offered remotely, depending on the developments relating to the current pandemic
Start date Flexible (as long as project takes place between June 1 and September 30)
Duration 8 weeks
Project objectives To perform CFD simulations for quantification of natural convection thermal losses within solar receivers used in Concentrated Solar Thermal (CST) tower plants
Expected results The student will gain a strong understanding of the concepts of Concentrating Solar Power (CSP), and especially on the thermal receiver sub-component. Hands-on experience will be gained on using CFD for real-life applications.
Project mentor Dr. Kypros Milidonis
Other CyI staff involved n/a
Background requirements

Mechanical/Aeronautical Engineering, students, preferably on their two final years of their Bachelor or diploma degree.

Good knowledge on fluid mechanics and/or heat transfer and/or Fluent or OpenFoam CFD software will be considered an advantage.  

Students with more qualifications are welcome while students within the first years of their study can be also considered.

Financial aid available No
 
Thematic domain  Electrical/Electronic/Mechanical/Software Engineering / Concentrated Solar Power (CSP) plants
Project title Sun-tracking software development for heliostats in LabView environment
Remote option If necessary, this project can be offered remotely, depending on the developments relating to the current pandemic
Start date Flexible (as long as project takes place between June 1 and September 30)
Duration 8 weeks
Project objectives To implement heliostat sun tracking algorithms for motion control of heliostats using stepper motors/linear actuators/servo mechanisms etc, through LabView environment.
Expected results The student will gain a strong understanding of the concepts of Concentrating Solar Power (CSP) and especially on the heliostat sub-component. Hands-on experience will be gained on scientific programming for real-life applications.
Project mentor Dr. Kypros Milidonis
Other CyI staff involved n/a
Background requirements

Mechanical/Aeronautical Engineering, Electrical/Electronic Engineering, Software Engineering students, preferably on their two final years of their Bachelor or diploma degree.

Basic knowledge on control theory (sensors, digital/analog I/O, feedback control, PI/PID controllers etc) and/or some experience on Arduino/Raspbery Pie or similar and/or LabView will be considered an advantage.  

Students with more qualifications are welcome while students within the first years of their study can be also considered.

Financial aid available No
 
Thematic domain  Computational Science 
Project title Modelling of COVID-19
Remote option If necessary, this project can be offered remotely, depending on the developments relating to the current pandemic
Start date

Program can be 2 or 3 months duration and should ideally take place between period 1 June to 31 August (latest end date is Sept 11)

Duration 8 - 12 weeks
Project objectives Predict the spread of COVID-19 using a statistical model
Expected results A modeling tool for predicting the evolution of diseases and in particular for COVID-19 in Cyprus.
A scientific publication is foressen.
Project mentor Prof. Constantia Alexandrou
Other CyI staff involved Asst. Prof. Giannis Koutsou
Background requirements  The applicant must be a least in her/his final year of a Physics Department. 
Financial aid available No
 
Thematic domain  Bioarchaeology 
Project title Following the footsteps of an Ancient Cypriot – Summer internship for the FF-MAC Project
Remote option If necessary, this project can be offered remotely, depending on the developments relating to the current pandemic
Start date July 1 would be ideal but project dates are flexible
Duration 8 weeks
Project objectives

The main objective of this research is to follow the historic and prehistoric trails of specific individuals that lived in Cyprus during various time periods, collate this information and contribute to the project Face to Face: meet an Ancient Cypriot (FF-MAC). The overall aim of the project is to increase the appeal and accessibility of cultural heritage for tourism through encounters with real individuals from the Cypriot past, based on bioarchaelogical research leading to construction of osteobiographies, ancient life stories, and visitor encounters with real, individual life stories from the past. The project involves an integrated intervention through research, and technological and innovation activities for addressing important challenges in the relevant sector.

During the internship, the student will receive training and gain skills on how to effectively use literature sources, both online as in libraries, how to write literature reviews, and familiarize his or herself with specific time period from the Cypriot (Pre)History. Furthermore, the student has the possibility to familiarize him/herself with the basics of human osteology, burial taphonomy and material culture.
Expected results By the end of the internship, the individual will have constructed a document with scientific information related to a real individual from the Cypriot past that directly contributes to the FF:MAC project 
Project mentor Asst. Prof. Kirsi Lorentz, Dr. Simone Lemmers
Other CyI staff involved Ms Bianca Casa, Ms Natalie Branca, Ms Yuko Miyauchi, Ms Sila Kayalp
Background requirements No previous experience is needed, although a basic level of using academic sources is beneficial. 
Financial aid available No
 
Thematic domain  Bioarchaeology
Project title Lab based XRF on an Ancient Cypriot – Summer internship for the FF-MAC Project
Remote option This project cannot be offered remotely
Start date July 1 would be ideal but project dates are flexible
Duration 8 weeks
Project objectives The main objective of this research is to perform Lab based X-ray fluorescence (XRF) analysis on an assemblage of material from specific individuals from the Cypriot past. The obtained results contribute to the project Face to Face: meet an Ancient Cypriot (FF-MAC). The overall aim of the project is to increase the appeal and accessibility of cultural heritage for tourism through encounters with real individuals from the Cypriot past, based on bioarchaelogical research leading to construction of osteobiographies, ancient life stories, and visitor encounters with real, individual life stories from the past. The project involves an integrated intervention through research, and technological and innovation activities for addressing important challenges in the relevant sector. 

During the internship, the student will receive training on how to use Lab based XRF equipment, and will perform background literature study on the application of this method on archaeological human remains.

Expected results By the end of the internship, the individual will have generated a dataset of XRF readings related to the human remains of specific individuals from the Cypriot past that directly contributes to the FF:MAC project. 
Project mentor Asst. Prof. Kirsi Lorentz
Other CyI staff involved Dr Simone Lemmers, Ms Bianca Casa, Ms Natalie Branca, Ms Yuko Miyauchi, Ms Sila Kayalp
Background requirements No previous experience is needed, although a basic level of using academic sources is beneficial. Training will be provided on using the XRF equipment.
Financial aid available No
 
Thematic domain  Eco innovation, green technology transfer
Project title Establishing a classification model for EU financed SMEs against The SDGs
Remote option This project can be offered remotely. This will be determined later as things develop with Covid 19.
Start date Proposed project dates: July 13 to September 11- project dates are flexible
Duration 8 weeks
Project objectives This program aims to build a database of startups with innovative solutions to address environment or sustainability issues (UN SDGs), to develop a suitable research methodology on bibliometric classification, and to analyze the status of eco-innovation in different regions. 
Expected results The project intends to outline the current scenarios of eco-innovation, particularly among start-ups and innovative SMEs, and the related policy, funding resources, market barriers and infrastructures needed, as well as the transfer of green technologies or business models inter-regionally or globally. 
Project mentor Prof. Salvatore Carlucci
Other CyI staff involved N/A
Background requirements 1. Advanced university degree in relevant field.

2. Study or working experience on international cooperation.

3. Fluent in English speaking and writing.

4. Be able to travel if necessary and if possible based on the pandemic. 
Financial aid available No

Thematic domain  Modelling Infectious Disease Epidemiology
Project title Developing a Comprehensive Geoinformatics Platform for the Modelling and Visualization of COVID-19 Epidemiology
Remote option If necessary, this project can be offered remotely, depending on the developments relating to the current pandemic
Start date June 1 ideally but project dates are flexible
Duration 10 weeks
Project objectives The project aims to develop a scalable, interactive and stratifiable geoinformatics resource that enables fast browsing and enhanced visualisation and meta-analysis of Covid-19 big data. It is based on an already available tool for big data we developed in the context of the NIH/NIAID-funded VectorBase and VEuPathDB projects.  The new resource, including its enhanced visualisation and meta-analysis tools, will also serve the vector and pathogen communities and can be used in future epidemics; therefore, it will have a long-lasting impact.

The resource will be enriched with the development of mathematical models and computational tools that would aid the understanding of COVID-19 spread and epidemiological impacts in countries of the Eastern Mediterranean region. The toolkit will further guide the design of interventions and decision taking.

Expected results The intern(s) will be involved in different aspects of the development of the COVID-19 geoinformatics resource, which will lead to valuable experience in mathematical modelling, data analysis, software engineering, and web design.
Project mentor Dr Kamil Erguler
Other CyI staff involved Prof. George Christophides, Dr. George Tsouloupas, Asst. Prof. Mihalis Nicolaou
Background requirements Background in computer programming, software engineering, web designer, or a related field. Excellent command of several programming languages including JavaScript Frameworks, Python, and C. Experience in database management and cyber security.
Financial aid available No

Additional projects may be added to the above table periodically 

Please note that if some of the projects may need to be offered remotely due to the developments related to the pandemic, there may be some additional background requirements that will be discussed with the mentor.

 

Program Length

The internships will be of approximately 8 weeks duration and must take place between June 1 and September 30, 2020.  Students may have the option to change the duration of the program in consultation with the project mentor. Students whose programs include the week of August 10-14 will have that week off as the institute will be closed. 


Eligibility Criteria

Applicants must:

Be undergraduate or graduate students or recent graduates with an excellent academic background and a strong interest in research (prior lab or modelling experience is considered an advantage)
Have strong communication and interpersonal skills and the ability to adapt to a multicultural/multinational environment
Have good knowledge of oral and written English
See possible additional requirements under each project 

Application Process

Applications should be submitted through the online internship application.  The following supporting documents must be uploaded when filling out the online application:

Copy of national ID or passport
Curriculum Vitae 
University transcripts. All transcripts to date should be included.
English Language Proficiency Certificate. This may either be a letter from the student’s university verifying that their degree program is offered in English, or if the degree is not offered at an English- medium institution, students should provide a certificate verifying English language proficiency (e.g. TOEFL, IELTS, GCSE/IGCSE etc.).  If applicants have not taken any tests demonstrating English language proficiency and have not studied/ are not studying at an English- medium institution, they may state it on the application.


Students will need to write a 300- word statement in the online application justifying their choice of project selected by stating why their background and qualifications are a good match for the project they are applying for. Students will be assigned to one project.

If, for any serious reason, the applicant needs to attend a shorter or longer program, they should explain why in the justification.


Application Deadline

Applications will be accepted on a rolling basis. Projects will be listed as closed once spaces are filled.


Application Form

Click here to access the Summer Internship Application Form


Financial Aid

The Cyprus Institute Graduate School Summer Internship program focuses on providing students a unique training experience through bespoke projects related to applicant’s field of study and research interests thus are not considered to be job placements and do not come with compensation.

A limited number of the projects may provide a small stipend based on merit and availability of funds. This information is available under each project listing.  


Contact

For more information, please contact the Office of Graduate Studies at tel: +357 22 208614 or email: This email address is being protected from spambots. You need JavaScript enabled to view it.

For information on professional internships that may be offered year-round, please contact The Cyprus Institute Human Resources Office.