PhDEnvironmental Engineering
| Study location | Lithuania, Vilnius, On Campus |
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| Academic field | Environmental science (ISCED 422) Environmental engineering (JACS H220) |
| Type | Doctoral, full-time |
| Nominal duration | 4 years (30 ECTS) |
| Study language | English |
| Awards | PhD (Geospatial programming for Web Map Development for air pollutants emissions inventory spatial) |
| Course code | Environmental Engineering T004 |
| Tuition fee | €11,589 per year Part-time studies (6-year) 7 726,00 |
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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) should 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 Geospatial programming for Web Map Development for air pollutants emissions inventory spatial
Open application for a doctoral candidate in Environmental Engineering
The doctoral candidate position is available in the Environmental engineering faculty department of Geodesy and Cadastre. Applicants interested in other research topics related to measurement engineering are also welcome to apply.
Research topic description
Data on air pollutants: chemicals, particulate matter or biological matter, and greenhouse gases (eg CO2, CH4, N2O) from pollution sources located in a given geographic area over a defined period are relevant to climate change.
Reported spatial emissions data are an important input for models used to assess atmospheric concentrations and deposition, as the spatial location of emissions determines to a great extent their atmospheric dispersion patterns and impact area. The results of model assessments inform national and international policies used to improve the environment and human health.
The geospatial distribution of emissions can be effectively analysed using GIS. Otherwise, the combination of air pollution emission monitoring methods (APEM) and Web geographic information systems (WebGIS) application remains a key issue for environmental modelling and management purposes. The development of the application would be based on open-source software tools such as Geoserver for the GIS functions, PostgreSQL and PostGIS for the data management and HTML, JavaScript, and OpenLayers as programming languages.
The fusion of APEM, GIS and using machine learning methods would bring new opportunities to monitor and predict air pollution. A Web map service should provide maps to other clients such as Google Maps which is used as part of the user interface.
The selected candidate will work on the PhD thesis under the supervision of Prof. dr. Jūratė Sužiedelytė Visockienė The successful applicant will have to attend scientific conferences, meetings and internships in other universities. .
Requirements
• Required background: master’s degree in measurement engineering, environmental engineering fields
• Expected skills and knowledge: Geomatics, Remote Sensing, Geographic Information System, Air pollution, Greenhouse gases, Machine learning.
It is a prerequisite that 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. Jūratė Sužiedelytė Visockienė, e-mail: juratesuziedelyte-visockiene@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.