PhDMechanical Engineering
| Study location | Lithuania, Vilnius, On Campus |
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| Academic field | Building and civil engineering 06.4 (ISCED 582) Bioengineering, biomedical engineering & clinical engineering (JACS H160) |
| Type | Doctoral, full-time |
| Nominal duration | 4 years (30 ECTS) |
| Study language | English |
| Awards | PhD (PhD candidate position in Research and Development of VR-based system for Psychological and Cognitive Rehabilitation) |
| Course code | Mechanical engineering T009 |
| Tuition fee | €12,449 per year Part-time studies (6-year) 8 229,00 |
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| Application fee | €100 one-time |
| Entry qualification | Postgraduate diploma (or higher) The entry qualification documents are accepted in the following languages: English. Often you can get a suitable transcript from your school. If this is not the case, you will need official translations along with verified copies of the original. You must take verified copies of the entry qualification documents along with you when you finally go to the university. |
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| Language requirements | English International applicants to whom English is not a native language need to provide a proof of their English language proficiency. Exceptions are made only for applicants who have completed their previous studies fully in English. One of the following is accepted: |
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| Other requirements | At least 2 reference(s) must be provided. A relevant portfolio is required. Please upload your research proposal including the abstract, literature review, research objectives, research questions, methodology and bibliography. - Certified copies of the Master’s degree diploma and its supplement with grades or higher education equivalent to it; |
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| More information |
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Overview
PhD candidate position in Research and Development of VR-based system for Psychological and Cognitive Rehabilitation
Open application for a doctoral candidate in Mechanical Engineering
The doctoral candidate position is available in the Faculty of Mechanics, Department of Biomechanical Engineering. Applicants interested in other research topics related to Biomedical Engineering are also welcome to apply.
Research topic description
The global prevalence of conditions like dementia, stroke, post-traumatic stress disorder (PTSD), anxiety, and Parkinson’s disease is rapidly increasing due to ageing populations and modern stressors. Traditional rehabilitation methods are often expensive, time-consuming, and lack personalized adaptability. By 2050, the number of people living with dementia worldwide is projected to triple, requiring innovative solutions for care and rehabilitation. Disorders like PTSD and anxiety affect millions globally, and creative, accessible solutions are urgently needed. Advances in biomedical sensors, neuroplasticity research, and biofeedback systems are critical to creating personalized and effective Virtual Reality (VR) interventions. This field enables the integration of physiological monitoring to optimize treatment. VR rehabilitation requires precise motion tracking, ergonomic haptic devices, and wearable technologies that depend on an engineering approach.
This research focuses on developing a VR system tailored for psychological and cognitive rehabilitation, leveraging biomedical and mechanical engineering principles. The study aims to design, implement, and evaluate an advanced VR framework that integrates biofeedback, haptic interfaces, and real-time subject monitoring to address neurological and psychological disorders.
The selected candidate will work on the PhD thesis under the supervision of Prof. Dr Kristina Daunoravičienė. The successful applicant will have to attend scientific conferences, meetings and internships at the other universities.
Requirements
• Required background: Candidates should have a Master’s degree in Biomedical Engineering, Mechanical Engineering, Computer Science, or a related field. An academic foundation in neuroscience, cognitive science, or psychology is also beneficial if combined with technical engineering experience. Prior exposure to rehabilitation technologies or healthcare applications will be advantageous.
• Expected skills and knowledge: Candidates should have experience in biosignal monitoring (e.g. EEG, EMG, heart rate sensors), motion tracking, and sensor integration. Familiarity with VR development platforms (e.g. Unity, Unreal Engine) and programming languages would be beneficial. Knowledge of artificial intelligence and machine learning for adaptive systems is desirable. Strong interdisciplinary collaboration, data analysis skills, and the ability to design ergonomic healthcare devices are also expected.
It is a prerequisite you can be present at and accessible to the institution daily.
For more information
Shortlisted candidates will be invited for an interview. The position may not be opened if no qualified candidate is found. Additional information regarding the post may be obtained from Prof. Dr Kristina Daunoravičienė, e-mail: kristina.daunoraviciene@vilniustech.lt
Programme structure
The PhD programme consists of:
· Independent research under supervision;
· Courses for PhD students (approximately 30 ECTS credits);
· Participation in research networks, including placements at other, primarily foreign, research institutions;
· Teaching or another form of knowledge dissemination, which is related to the PhD topic when possible;
· The completion of a PhD thesis.
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