Scholarships & Research Projects
PhD Applicants have the opportunity to apply under specific PhD Research Projects offered by Faculty of the Medical School. Please review the post for specific details regarding the PhD Projects, the Funding, the entry and/or application requirements. It should be noted that the review and selection of the candidates is a competitive process, therefore only fully completed applications, containing all necessary supporting documents will be reviewed. Shortlisted candidates will be invited to interviews.
See the available PhD Research Projects below:
Projects Offered as Research Scholarships
(Stipend and Waving of Tuition Fees):
PhD Project in Medical Sciences
The Brain on the Witness Stand: Investigating Implicit Memory Recall in Crime Witnesses
Main Supervisor: Dr Nicoletta Nicolaou
Projects Offered as Scholarships
(Waving of Tuition Fees):
PhD Project in Medical Sciences
Investigating the possible association of NRG1 and tau, in the development of Alzheimer’s Disease (AD)
Main Supervisor: Professor Dimitrios Kanakis
PhD Project in Medical Sciences
Development of a Machine Learning-based nightmare detection method for recurrent nightmare treatment in PTSD
Main Supervisor: Dr Achilleas Pavlou
PhD Project in Medical Sciences
Climate change-related environmental risk factors and perinatal health
Main Supervisor: Dr Souzana Achilleos
Self-Funded Projects:
PhD Project in Medical Sciences
Investigating students’ preparation for clinical training skills in medical undergraduate education
Main Supervisor: Dr Panayiota Andreou
Scholarship for the PhD in Medical Sciences in the field of Pathology of Neurodegenerative Diseases for the PhD Research Project ‘PHD-2023-4: Investigating the possible association of NRG1 and tau, in the development of Alzheimer’s Disease (AD)’
Scholarship for the PhD in Medical Sciences in the field of Pathology of Neurodegenerative Diseases for the PhD Research Project ‘PHD-2023-4: Investigating the possible association of NRG1 and tau, in the development of Alzheimer’s Disease (AD)’
The PhD in Medical Sciences:
The University of Nicosia Medical School offers the degree PhD in Medical Sciences. The degree is awarded to students who successfully complete an independent research programme leading to novel findings in the chosen field of study. The PhD programme aspires to empower students to become independent researchers, thus advancing innovation and development.
The Research Project:
We are currently inviting application through a competitive process for high calibre candidates to apply for one PhD Scholarship in the fields of Pathology of Neurodegenerative Diseases. The successful candidate will enrol in the PhD programme in Medical Sciences and will work under the Supervision of Professor Dimitrios Kanakis with expertise in the fields of Pathology and Neuropathology at the University of Nicosia Medical School.
Project Description:
Code and Title of research project: ‘PHD-2023-4: Investigating the possible association of NRG1 and tau, in the development of Alzheimer’s Disease (AD).’
Background and Rationale:
Neurodegenerative disorders constitute a major problem for the health care system globally. The number of newly diagnosed patients suffering from one of the known neurodegenerative diseases increases dramatically. Finding a treatment or even a preventative measure against such disorders is one of the major challenges of modern science. However, these scientific efforts, though intensive, have not yet achieved the expected result, that is the development of efficacious therapeutic schemes. The reason for this is the absence of sufficient knowledge of the pathogenesis of each of the various degenerative diseases. It is therefore of utmost importance to understand comprehensively the pathology of this category of diseases in order to focus our research explicitly.
Alzheimer’s disease (AD) is the commonest age-related neurodegenerative disorder, affecting millions of people worldwide. It is a progressive neurological disorder that drives to the irreversible loss of neurons, primarily in the entorhinal cortex and hippocampus. The amyloid-β plaques and the neurofibrillary tangles (NFTs) are the main histopathological hallmarks of the disease.
The amyloid hypothesis suggests that the abnormal cleavage of Amyloid Precursor Protein (APP) and the subsequent deposition of toxic amyloid peptides are a predominant step in the pathogenesis of the disease. However, tau hyperphosphorylation and neurofibrillary tangle (NFT) formation is a direct epiphenomenon of this abnormal deposition suggesting the close association of APP and MAPT (Microtubule Associated Protein Tau) genes.
Neuregulins (NRG) are a family of growth and differentiation factors involved in neuronal differentiation and migration, oligodendrocyte development, N-methyl-D-aspartate (NMDA) receptor function, myelination, neurite extension and arborization, synapse formation and neurotransmitter release.
There are four different neuregulin types: NRG1, NRG2, NRG3, and NRG4. NRG1 is the most widely studied growth factor of the neuregulin family. There are three NRG1 isoforms, namely NRG1 type I, NRG1 type II and NRG1 type III. NRG1 protein has been shown to be important in the development of the CNS, the circulatory system and accessory reproductive organs like the mammary glands. NRG1 plays a pivotal role in neurogenesis and neural differentiations (i.e. neural crest cell differentiation into Schwann cells). Its function is mediated by transmembrane tyrosine kinase receptors of the ErbB family, inducing receptor heterodimerization, which in turn initiates a signal transduction cascade.
A close association of Neuregulin-1 (NRG1), BACE1 and APP genes exists that suggest a potential link between NRG1 and Alzheimer’s disease, as the last two factors (i.e. BACE and APP) have been implicated in the development of this condition. NRG1 is a major physiological substrate of β-site amyloid precursor protein cleaving enzyme 1 (BACE1), which is cleaved within its ectodomain allowing the exposure of the EGF-like domain for ErbB signaling. In other words, NRG1 activation is mediated by the enzymatic cleavage of BACE1, a rate limiting enzyme for APP proteolysis and amyloid production.
Double immunofluorescence and electron microscopy analysis demonstrated that ErbB4 antibodies co-localized with hyper-phosphorylated tau inclusions and NFTs, proving the relationship between the neuregulin receptor ErbB4 and protein hyper-phosphorylated protein tau. The importance of ErbB/neuregulin signaling in AD pathogenesis, APP processing and tau hyper-phosphorylation has also been shown.
In vitro experiments demonstrated further that NRG1 eliminated the effect of amyloid beta-induced decrease in dendritic spine density in rat primary hippocampal neurons, and improved neural cell differentiation in mouse fetal neuronal stem cells. These results render Neuregulin-1 a potential therapeutic agent for Alzheimer’s disease.
It is therefore evident that the exact role of NRG1 is quite enigmatic, so there is an urgent need to “solve” the puzzle and understand the exact role of NRG1 in AD pathogenesis. Additionally, there is a missing link between NRG1 gene and tau hyper-phosphorylation. The main aim of the study is to elucidate the possible role of NRG-1 type III gene in the pathogenesis of Alzheimer’s disease, through direct or indirect MAPT interaction leading to tau hyper-phosphorylation and NFT formation.
Aims and Objectives:
The current Research Proposal has the following aims and objectives:
- To examine the possible association of NRG1 with tau protein, tau hyper-phosphorylation and the development of toxic NFTs in AD mice.
- To examine the potential co-localization of the NRG1 protein with the hyper-phosphorylated protein tau.
- In a later stage, the association of NRG1 with BACE1 will be examined too, through RNAi technology. BACE1 inhibition will be performed on NRG1 transfected cells, in order to assess the possible change in NRG1 normal processing.
The Scholarship:
The PhD project comes with a Fee Waiver Scholarship that includes:
- Coverage of tuition fees for the PhD programme for a duration of three years (totalling €13,500). The successful candidate is expected to cover the tuition fees for each additional academic year (€1,500 per year).
The scholarship is subject to annual renewal based on the recipient’s satisfactory academic progress, with maximum renewal period of three years.
Requirements and Qualifications:
- Eligible Candidates should hold (or hold by the time that the programme is expected to commence i.e. October 2024) a recognised degree (BSc or a degree equivalent for entry to a Master’s Degree) and a Master’s degree (MSc) in the field(s) of Molecular Biology, or a Doctor of Medicine degree (e.g. MBBS or MD degree).
- Expertise in a variety of laboratory (e.g. immunohistochemistry and immunofluorescence in paraffin fixed mouse brain samples) and specific molecular biology methods (e.g. Western blotting, in vitro experiments with different cell lines) is a prerequisite for carrying out the experiments of the PhD project.
Application for the PhD Scholarship:
Candidates should submit an online application through the ‘Request Information’ form and upload the following supporting documents:
- A cover letter clearly stating that they apply for the PhD Scholarship in the field of Pathology of Neurodegenerative Diseases for the PhD Research Project ‘PHD-2023-4: Investigating the possible association of NRG1 and tau, in the development of Alzheimer’s Disease (AD)’.
- Copies of the applicant’s qualifications/degree(s) – the application can be assessed with scanned copies, but certified true copies must be provided if the candidate is successful and prior to enrolment on the PhD programme.
- Copies of the applicant’s transcript(s) – the application can be assessed with scanned copies, but certified true copies must be provided if the candidate is successful and prior to enrolment on the PhD programme.
- Proof of English language proficiency such as IELTS with a score of 7 overall and with a minimum score of 7 in writing or TOEFL iBT with a score of 94 overall and a minimum score of 27 in Writing. Other internationally recognized English language qualifications might be considered upon review. Students from the UK, Ireland USA, Canada (from English speaking provinces), Australia and New Zealand are exempt from the English language requirement.
- Two reference letters, of which at least one should be from an academic.
- A full Curriculum Vitae (CV)
- Once you complete your application please send an email to [email protected] expressing officially your interest in the PhD Research Project ‘PHD-2023-4: Investigating the possible association of NRG1 and tau, in the development of Alzheimer’s Disease (AD)’ and also attaching all the required documents.
Applications should be submitted by Friday, 10th May, 2024 at 5pm. Only fully completed applications, containing all necessary supporting documents will be reviewed.
Only candidates who are shortlisted will be contacted and invited to an interview.
Acceptance of Applications for the PhD in Medical Sciences in field of Medical Education for the PhD Research Project ‘PHD-2023-5: Investigating students’ preparation for clinical training skills in medical undergraduate education’
Acceptance of Applications for the PhD in Medical Sciences in field of Medical Education for the PhD Research Project ‘PHD-2023-5: Investigating students’ preparation for clinical training skills in medical undergraduate education’
The PhD in Medical Sciences:
The University of Nicosia Medical School offers the degree PhD in Medical Sciences. The degree is awarded to students who successfully complete an independent research programme that breaks new ground in the chosen field of study. The PhD programme aspires to empower students to become independent researchers, thus advancing innovation and development.
The Research Project:
We are currently inviting applications through a competitive process for high calibre candidates to apply for a PhD Research Project in the fields of Medical Education. The successful candidate will enrol on the PhD programme in Medical Sciences and will work under the Supervision of Dr Panayiota Andreou with expertise in the fields of Medical Education at the University of Nicosia Medical School.
Project Description:
Code and Title of research project: ‘PHD-2023-5: Investigating students’ preparation for clinical and communication training skills in medical undergraduate education.’
Background and Rationale:
There is evidence that active engagement in education improves learning outcomes. More specifically, research suggests that student engagement (i.e. effort towards learning) often corresponds with positive student performance outcomes (Lee, 2014). Educational institutes try to enhance and support student engagement and preparation through various means such as study guides (Harden, Laidlaw, & Hesketh, 1999). Students who complete assigned readings prior to class tend to perform better academically (Phillips & Phillips, 2007; Terpstra, 1979) and the latter also facilitates understanding (Phillips & Phillips, 2007) and increases class participation (Chizmar, 2005; Karp & Yoels, 1976; Valde, 1997) which is known to enhance learning (Schmidt, Cohen-Scotanus, & Arends, 2009; Webb, Troper, & Fall, 1995). This is also acknowledged by students, who rate preparation ahead of their class as one of the most important factors for class participation (Aalbers et al., 2013; Karp & Yoels, 1976).
However, it is often observed that students do not always do the assigned preparatory work. Over the course of a semester students tend to rely increasingly on “skimming” the reading material ahead of class, and as a result, preparation declines (McKeachie, 2002; Phillips & Phillips, 2007). This pattern has also concerning consequences for the potential benefits of introducing popular instructional models such as the flipped or inverted classroom for large group teaching (Akçayır & Akçayır, 2018).
There is limited work investigating the reasons why students are not engaged with the advised preparatory work and even less work on interventions developed to address this issue. Some work focused on large group teaching and specifically on how digital tools including quizzes and progress monitors, can help students prepare (Francescucci, Kellershohn, & Pyle, 2020). Results indicated a positive impact on both academic assessments and self-reported feelings of engagement but only at the 100% completion levels. In other words, an all-or-nothing effect on the part of the students is required.
Similarly, work focusing on small group teaching, such as experiential communication and clinical skills training, and investigating the motivating factors of preparation (or lack of) has been equally limited. Evidence drawn from students’ perspective indicated a range of intrinsic factors (e.g. personal learning style, attitudes and beliefs) and external factors (e.g. upcoming assessment, preparatory advice) were related to student motivation and preparation behavior (Aalbers et al., 2013). The authors focused on students’ beliefs on what could influence their motivation and engagement with preparation work, with suggestions for possible interventions. However, this work focused on a cross-sectional time point without capturing the possible dynamic change of motivation over the undergraduate medical training. In addition, the study did not explore other stakeholders’ opinions in this area such as field experts and tutors delivering the trainings which could enrich and strengthen the data. Furthermore, the study did not investigate possible differences between clinical skills and clinical communication skills training accounting differences such as the use of simulated patients. It is possible that the range of factors which can influence students’ preparedness are more complex and dynamic than initially thought of, which in turn may necessitate multifaced interventions at various levels e.g. individual, group, institutional.
Aims and Objectives:
The overall aim of this research project is to facilitate and strengthen student engagement ahead of their skills training. The objectives of the proposed research are:
- To identify factors related to students’ attitudes and motivation towards pre-session preparation for skills training.
- To identify potential barriers and facilitators to pre-session preparation for skills training.
- To design and implement an intervention to facilitate pre-session preparation for skills training.
- To evaluate the effectiveness of the intervention.
Tuition Fees:
The tuition fees are €13,500 in total for the first 3 years. For each additional academic year, tuition is €1,500 per year.
Requirements and Qualifications:
- Eligible Candidates should hold (or hold by the time that the programme is expected to commence i.e. October 2024) a recognised degree (BSc or a degree equivalent for entry to a Master’s Degree) and a Master’s degree in the field(s) of Social Sciences e.g. Psychology or Health Sciences e.g. Nursing, or a Doctor of Medicine degree (e.g. MBBS or MD degree).
- Research experience with quantitative and/or qualitative methodology would be a plus.
Application for the Research Project:
Candidates should submit an online application through the ‘Request Information’ form and upload the following supporting documents:
- A cover letter clearly stating that they apply for the PhD Research Project in the field of Medical Education ‘PHD-2023-5: Investigating students’ preparation for clinical training skills in medical undergraduate education’
- Copies of the applicant’s qualifications/degree(s) – the application can be assessed with scanned copies, but certified true copies must be provided if the candidate is successful and prior to enrolment on the PhD programme.
- Copies of the applicant’s transcript(s) – the application can be assessed with scanned copies, but certified true copies must be provided if the candidate is successful and prior to enrolment on the PhD programme.
- Proof of English language proficiency such as IELTS with a score of 7 overall and with a minimum score of 7 in writing or TOEFL iBT with a score of 94 overall and a minimum score of 27 in Writing. Other internationally recognized English language qualifications might be considered upon review. Students from the UK, Ireland USA, Canada (from English speaking provinces), Australia and New Zealand are exempt from the English language requirement.
- Two reference letters, of which at least one should be from an academic.
- A full Curriculum Vitae (CV).
- Once you complete your online application please send an email to [email protected] expressing officially your interest in the PhD Research Project ‘PHD-2023-5: Investigating students’ preparation for clinical training skills in medical undergraduate education’ and also attaching all the required documents.
Applications should be submitted by Friday, 10th May, 2024 at 5pm. Only fully completed applications, containing all necessary supporting documents will be reviewed.
Only candidates who are shortlisted will be contacted and invited to an interview.
Scholarship for the PhD in Medical Sciences in the field of Sleep Science and Neuroscience for the PhD Research Project ‘PHD-2023-3: Development of a Machine Learning-based nightmare detection method for recurrent nightmare treatment in PTSD’
Scholarship for the PhD in Medical Sciences in the field of Sleep Science and Neuroscience for the PhD Research Project ‘PHD-2023-3: Development of a Machine Learning-based nightmare detection method for recurrent nightmare treatment in PTSD’
The PhD in Medical Sciences:
The University of Nicosia Medical School offers the degree PhD in Medical Sciences. The degree is awarded to students who successfully complete an independent research programme that breaks new ground in the chosen field of study. The PhD programme aspires to empower students to become independent researchers, thus advancing innovation and development.
The Research Project:
We are currently inviting application through a competitive process for high calibre candidates to apply for one PhD Scholarship in the fields of Sleep Science and Neuroscience. The successful candidate will enrol on the PhD programme in Medical Sciences and will work under the Supervision of Dr Achilleas Pavlou with expertise in the fields of sleep science, neuroscience and machine learning at the University of Nicosia Medical School.
Project Description:
Code and Title of research project: ‘PHD-2023-3: Development of a Machine Learning-based nightmare detection method for recurrent nightmare treatment in PTSD.’
Background and Rationale:
PTSD is a mental health condition that can occur in people who have witnessed or experienced a traumatic event (e.g., war, sexual violence or major injury). The majority of PTSD patients (between 50 – 70%) suffer from persistent and recurrent vivid nightmares that can cause insomnia and can severely affect quality of life and daytime functioning (Lancel et al., 2021). Recurrent nightmares and poor sleep are a major driver of poor mental health (Lamarche & De Koninck, 2007). The frequent nightmares in PTSD are thought to occur when emotional memory integration processes during REM fail, resulting in persistent and repeated nightmares (Nishida et al., 2009). Altering negative affect dream content/narrative to a positive or neutral one could alleviate PTSD symptomatology (and possibly other mood disorders), by allowing the emotional trauma memory to be consolidated appropriately. This is where ‘dream engineering’ methodologies such as targeted memory reactivation (TMR; Oudiette & Paller, 2013) and lucid dreaming (Baird, Mota-Rolim & Dresler, 2019), can be applied in order to modify negative affect dream content into a neutral or positive one.
Aims and Objectives:
This PhD project aims to provide the building blocks towards creating a novel therapy for treating treating/improving Post-Traumatic Disorder (PTSD) symptomatology (e.g., recurrent nightmares) through that use of dream engineering (Carr et al., 2020) delivered by small sleep wearable technologies that are powered by machine learning algorithms. An example of dream engineering methodologies that could be used are external stimulation techniques applied during REM sleep is TMR (Oudiette & Paller, 2013) and lucid dreaming therapy aided by external stimulation techniques (Baird, Mota-Rolim & Dresler, 2019). The primary aim of this PhD project is to build a predictive algorithm based on physiological data so that these dream engineering techniques are delivered only when a nightmare is detected in order to minimize the possibility of any unwanted impact on sleep physiology.
Thus, the PhD project aims to build a nightmare/negative affect dream detector ML algorithm, that will predict dream affect in order to deliver all these possible interventions in a targeted manner. To achieve this, the PhD project aims to (1) carry out purely observational studies that will collect dream affect self-reports (as well as other dream related variables of interest) and at-home sleep EEG recordings from healthy individuals and PTSD patients. These at-home sleep EEG recordings will be acquired through small low-cost sleep wearable EEG devices that are on the market. The sleep EEG data collected will then be used (2) to train a ML learning algorithm to predict negative or non-negative dream affect.
The Scholarship:
The PhD project comes with a Fee Waiver Scholarship that includes:
- Coverage of tuition fees for the PhD programme for a duration of three years (totalling €13,500). The successful candidate is expected to cover the tuition fees for each additional academic year (€1,500 per year).
The scholarship is subject to annual renewal based on the recipient’s satisfactory academic progress, with maximum renewal period of three years.
Requirements and Qualifications:
- Eligible Candidates should hold (or hold by the time that the programme is expected to commence i.e. October 2024) a recognised degree (BSc or a degree equivalent for entry to a Master’s Degree) and a Master’s degree (MSc) in the field(s) of Psychology, Neuroscience, Computer Science, or a Doctor of Medicine degree (e.g. MBBS or MD degree).
- Computer programming experience (e.g., R, MATLAB® and Python), particularly for EEG analysis and machine learning, will be considered advantageous, but not required. If the PhD candidate does not have prior programming experience they will be supported through training and may be asked to take machine learning online courses during their first year.
- The candidate must have previous experience in at least one of the following areas: Sleep Science, Neuroscience, Signal Processing and/or Machine Learning.
Application for the PhD Scholarship:
Candidates should submit an online application through the ‘Request Information’ form and upload the following supporting documents:
- A cover letter clearly stating that they apply for the PhD Scholarship in the field Sleep Science & Neuroscience for the PhD Research Project ‘PHD-2023-3: Development of a Machine Learning-based nightmare detection method for recurrent nightmare treatment in PTSD.’
- Copies of the applicant’s qualifications/degree(s) – the application can be assessed with scanned copies, but certified true copies must be provided if the candidate is successful and prior to enrolment on the PhD programme.
- Copies of the applicant’s transcript(s) – the application can be assessed with scanned copies, but certified true copies must be provided if the candidate is successful and prior to enrolment on the PhD programme.
- Proof of English language proficiency such as IELTS with a score of 7 overall and with a minimum score of 7 in writing or TOEFL iBT with a score of 94 overall and a minimum score of 27 in Writing. Other internationally recognized English language qualifications might be considered upon review. Students from the UK, Ireland USA, Canada (from English speaking provinces), Australia and New Zealand are exempt from the English language requirement.
- Two reference letters, of which at least one should be from an academic.
- A full Curriculum Vitae (CV).
- Once you complete your online application please send an email to [email protected] expressing officially your interest in the PhD Research Project ‘PHD-2023-3: Development of a Machine Learning-based nightmare detection method for recurrent nightmare treatment in PTSD’ and also attaching all the required documents.
Applications should be submitted by Friday, 10th May, 2024 at 5pm. Only fully completed applications, containing all necessary supporting documents will be reviewed.
Only candidates who are shortlisted will be contacted and invited to an interview.
Scholarship for the PhD in Medical Sciences in the fields of Epidemiology and Environmental Health for the PhD Research Project ‘Climate change-related environmental risk factors and perinatal health’
Scholarship for the PhD in Medical Sciences in the fields of Epidemiology and Environmental Health for the PhD Research Project ‘Climate change-related environmental risk factors and perinatal health’
The PhD in Medical Sciences:
The University of Nicosia Medical School offers the degree PhD in Medical Sciences. The degree is awarded to students who successfully complete an independent research programme that breaks new ground in the chosen field of study. The PhD programme aspires to empower students to become independent researchers, thus advancing innovation and development.
The Research Project:
We are currently inviting application through a competitive process for high calibre candidates to apply for one PhD Scholarship in the fields of Epidemiology and Environmental Health. The successful candidate will enrol on the PhD programme in Medical Sciences and will work under the Supervision of Dr Souzana Achilleos ([email protected]) with expertise in the fields of Epidemiology and Environmental Health at the Department of Primary care and Population, University of Nicosia Medical School.
Project Description:
Title of research project: Climate Change-related Environmental Risk Factors and Perinatal Health
Background and Rationale:
Climate change poses significant health challenges, impacting individuals directly through events like heat strokes and indirectly through issues such as food insecurity. Certain populations, including children and pregnant women, are particularly vulnerable to these health risks (Portier et al., 2010). The Developmental Origins of Health and Disease (DOHaD) theory underscores the role of early-life environmental exposures, especially during pregnancy, in shaping susceptibility to chronic diseases later in life (Nobile, Di Sipio Morgia & Vento, 2022).
Studies suggest links between climate change-related factors like temperature and air pollution and adverse birth outcomes such as preterm birth and low birth weight (Veenema, Hoepner & Geer, 2023). However, evidence varies across studies and locations, with some areas being more thoroughly studied due to data availability. Cyprus, experiencing warming trends surpassing global averages, presents an important case study, and a recent study has shown associations between higher temperatures during pregnancy and lower birth weight (Liu et al., 2023).
To address gaps in understanding, a systematic review and meta-analysis gathering global evidence on perinatal outcomes and climate change-related environmental risks are crucial. Despite the importance, recent comprehensive reviews are lacking. Evidence from Cyprus and diverse environmental settings can enhance understanding of climate change’s impact on perinatal health, aiding public health decision-making. Identifying these environmental risk factors and their mechanisms is vital for protecting maternal and infant health in the face of climate change.
Aims and Objectives:
The overall aim of the study is to apply robust methods to explore the association between climate change-related environmental risk factors (e.g., air pollutants, temperature, humidity), including their interactions, and perinatal outcomes.
Specifically, the study aims to:
- Conduct a systematic synthesis of evidence linking climate change-related environmental risk factors (e.g., air pollutants, temperature, humidity) and perinatal health outcomes at a global scale.
- Study the association between climate change-related environmental risk factors (e.g., air pollutants, temperature, humidity), and their interactions, with perinatal outcomes, utilizing available data from Cyprus and, if possible, from the other Multi-Country Multi-City (MCC) Collaborative Research Network countries (https://mccstudy.lshtm.ac.uk/)
In addition, pursuing a Ph.D. in epidemiology and environmental health offers diverse benefits, equipping candidates with specialized expertise and versatile skills applicable across various professional settings. Undertaking such a PhD project involves rigorous research including study design, data collection, analysis, and interpretation, with candidates having the opportunity to develop skills in statistics, epidemiology, and environmental science and more, enhancing their ability to work across disciplines. It requires perseverance, critical thinking, problem-solving, and resilience. These qualities are highly transferable invaluable in both academic and non-academic careers.
The Scholarship:
The PhD project comes with a Fee Waiver Scholarship that includes:
- Coverage of tuition fees for the PhD programme for a duration of three years (totalling €13,500). The successful candidate is expected to cover the tuition fees for each additional academic year (€1,500 per year).
The scholarship is subject to annual renewal based on the recipient’s satisfactory academic progress, with maximum renewal period of three years.
Requirements and Qualifications:
- Eligible Candidates should hold (or hold by the time that the programme is expected to commence i.e. October 2024) either a recognised degree (BSc or a degree equivalent for entry to a Master’s Degree) and a Master’s degree (MSc) of Data Science or Public Health (e.g. Biostatistics, Epidemiology, Environmental Health), or a Doctor of Medicine degree (e.g. MBBS or MD degree).
- Experience with data analyses using R statistical software will be considered advantageous, but not required. If the PhD candidate does not have prior statistical experience with R, he/she will be supported through training and may be asked to take online courses during their first year.
Application for the PhD Scholarship:
Candidates should submit an online application through the ‘Request Information’ form and upload the following supporting documents:
- A cover letter clearly stating that they apply for the PhD Scholarship in the field of Epidemiology and Environmental Health for the PhD Research Project ‘PHD-2023-2: Climate Change-related Environmental Risk Factors and Perinatal Health’
- Copies of the applicant’s qualifications/degree(s) – the application can be assessed with scanned copies, but certified true copies must be provided if the candidate is successful and prior to enrolment on the PhD programme.
- Copies of the applicant’s transcript(s) – the application can be assessed with scanned copies, but certified true copies must be provided if the candidate is successful and prior to enrolment on the PhD programme.
- Proof of English language proficiency such as IELTS with a score of 7 overall and with a minimum score of 7 in writing or TOEFL iBT with a score of 94 overall and a minimum score of 27 in Writing. Other internationally recognized English language qualifications might be considered upon review. Students from the UK, Ireland USA, Canada (from English speaking provinces), Australia and New Zealand are exempt from the English language requirement.
- Two reference letters, of which at least one should be from an academic.
- A full Curriculum Vitae (CV).
Applications should be submitted by Friday, 10th May, 2024 at 5pm. Only fully completed applications, containing all necessary supporting documents will be reviewed.
Only candidates who are shortlisted will be contacted and invited to an interview.
Scholarship for the PhD in Medical Sciences in the field of Neuroscience / Biomedical Sciences for the PhD Research Project ‘The Brain on the Witness Stand: Investigating Implicit Memory Recall in Crime Witnesses’
Scholarship for the PhD in Medical Sciences in the field of Neuroscience / Biomedical Sciences for the PhD Research Project ‘The Brain on the Witness Stand: Investigating Implicit Memory Recall in Crime Witnesses’
The PhD in Medical Sciences:
The University of Nicosia Medical School offers the degree PhD in Medical Sciences. The degree is awarded to students who successfully complete an independent research programme that breaks new ground in the chosen field of study. The PhD programme aspires to empower students to become independent researchers, thus advancing innovation and development.
The Research Project:
We are currently inviting application through a competitive process for high calibre candidates to apply for one PhD Scholarship in the field of Neuroscience / Biomedical Sciences. The successful candidate will enrol on the PhD programme in Medical Sciences at the University of Nicosia Medical School and will work under the Supervision of Dr Nicoletta Nicolaou ([email protected]), with expertise in the fields of Biomedical Signal Processing and Machine Learning.
Project Description:
Title of research project: The Brain on the Witness Stand: Investigating Implicit Memory Recall in Crime Witnesses
Background and Rationale:
The emerging field of “neurocriminology” involves the application of neuroscience to the field of criminology and the investigation of ways in which neuroscience may contribute to criminological research. Example applications include the use of brain imaging to understand disorders linked to criminal behaviour, the application of neurophysiological methods for lie detection, and analysis of electrodermal and electrocardiogram activities to detect lies or concealed crime-related information. The field of neurocriminology may also provide novel and robust solutions to crime scene investigation, and specifically relating to crime witnesses. Witnessing a crime is an emotionally stressful event and can elicit strong emotional responses, which may lead to Post Traumatic Stress Disorder (PTSD), with severe consequences for the witness, including loss of explicit memory recall of the traumatic event. The latter is important from a crime investigation point of view, as sometimes a witness may be the only source of information relating to a crime and law enforcement officers often rely on witness reports and witness identification of potential suspects. Another issue is that identification accuracy decreases as the time between witnessing a crime and being asked by law enforcement to provide a statement or identify a suspect lengthens.
Aims and Objectives:
The project investigates whether the field of Neurocriminology may provide crime witness-related aspects of declining explicit memory recall over time, explicit memory loss due to strong emotional responses and accuracy of recalled information relating to a crime. The project will use a combination of pre-existing crime scene videos, questionnaires and experimental neurophysiological data collection to assess recall of information relevant to a crime. The aim is to compare the quality of information recall using features extracted from the neurophysiological activity of the ‘witness’ (implicit memory), in comparison to written recall of information that is commonly provided in the form of a ‘witness statement’ (explicit memory). The proposed project will also allow us to identify the neurophysiological changes that characterize emotional responses elicited during crime witnessing, and which may also be related to PTSD. The findings will contribute not only towards the use of neurophysiological activity as means of implicit memory recall of information related to having witnessed a crime, but also towards identifying the neurophysiological mechanisms behind emotional trauma and PTSD.
The Scholarship:
The PhD project comes with a Research Scholarship that includes:
- A monthly stipend of €1,500 (up to 36 months).
- Coverage of tuition fees for the PhD programme for a duration of three years (totalling €13,500). The successful candidate is expected to cover the tuition fees for each additional academic year (€1,500 per year).
This scholarship is designated for full-time commitment and is subject to annual renewal based on the recipient’s satisfactory academic progress, with maximum renewal period of three years.
Requirements and Qualifications:
- Eligible Candidates should hold (or hold by the time that the programme is expected to commence) either a recognised degree (BSc or a degree equivalent for entry to a Master’s Degree) and a Master’s degree (MSc) in the field(s) of Neuroscience and/or Computer Science and/or Biomedical Sciences and/or Biomedical Engineering, or a Doctor of Medicine degree (e.g. MBBS or MD degree).
- Programming skills (e.g., MATLAB®, Python) and/or experience with EEG data collection and analysis, will be considered advantageous, but not required. Relevant training will be provided.
Application for the PhD Scholarship:
Candidates should submit an online application through the ‘Request Information’ form and upload the following supporting documents:
- A cover letter clearly stating that they apply for the PhD Scholarship in the field Neuroscience / Biomedical Sciences for the PhD Research Project ‘PHD-2023-1: The Brain on the Witness Stand: Investigating Implicit Memory Recall in Crime Witnesses’.
- Copies of the applicant’s qualifications/degree(s) – the application can be assessed with scanned copies, but certified true copies must be provided if the candidate is successful and prior to enrolment on the PhD programme.
- Copies of the applicant’s transcript(s) – the application can be assessed with scanned copies, but certified true copies must be provided if the candidate is successful and prior to enrolment on the PhD programme.
- Proof of English language proficiency such as IELTS with a score of 7 overall and with a minimum score of 7 in writing or TOEFL iBT with a score of 94 overall and a minimum score of 27 in Writing. Other internationally recognized English language qualifications might be considered upon review. Students from the UK, Ireland USA, Canada (from English speaking provinces), Australia and New Zealand are exempt from the English language requirement.
- Two reference letters, of which at least one should be from an academic.
- A full Curriculum Vitae (CV).
Applications should be submitted by Friday, 10th May, 2024 at 5pm. Only fully completed applications, containing all necessary supporting documents will be reviewed.
Only candidates who are shortlisted will be contacted and invited to an interview.