3 PhD positions at the University of Central Lancashire

The University of Central Lancashire invites applications for its Doctoral Training Center Studentships. Successful applicants will commence their studies September 2023.

Deadline is 31 March 2023 and information on the 3 positions are found bellow:

PhD No1: DTC35

Project Title: Utilisation of digital tools to enhance fire safety of occupants in high-rise residential buildings (HRRBs) during evacuation.

Industrial collaborator: OFR consultants (https://ofrconsultants.com/ )

PhD No2: DTC12-22-54

Project Title: Data-driven computational mechanics in fire engineering applications

Industrial collaborator: DELTA Fire Engineering (https://deltafireengineering.co.uk/ )

PhD No3: DTC12-22-55

Project Title: Deep-seated fires in waste and recycling facilities

Industrial collaborator: WISH (https://www.wishforum.org.uk/)

If you are interested in applying please follow the link below:

https://www.uclan.ac.uk/research/research-degrees/studentships

Informal project-related enquiries about the posts can be made to Dr. Eleni Asimakopoulou ([email protected])

PhD/Postdoc Fire Dynamics Modelling using Machine Learning Methods at Bergische Universität Wuppertal

Application via: https://cce.uni-wuppertal.de/en/news/ansicht/offene-stelle-doktorand-postdoc-1/

PhD/Postdoc Fire Dynamics Modelling using Machine Learning Methods

The official announcement (german / english) is provided here: Recruitment System BUW. In the following, an unofficial summary of the english version of the Job-ID 22709 is given.

This position is to be filled as soon as possible for 3 years with 75 % (PhD) or 100% (Post Doc) of the tariff working hours (part-time is possible, please state when applying whether you would also be interested in a part-time job).

We are an interdisciplinary and international team at the University of Wuppertal (BUW) and are looking for support for our research work in the field of computer-aided modelling in civil engineering, especially fire dynamics. This position is intended to expand our methodological spectrum to include approaches from machine learning. Support us in developing more efficient and precise fire spread models!

In numerical fire simulations, design fires are often used to determine the dynamics of the fire. However, this cannot take into account local conditions such as ventilation, heat interaction or material properties during fire propagation. Only by using a complex pyrolysis model, the dynamics of fire spread can be simulated self-consistently. The challenge here is that many material parameters are required, most of which are not known or directly measurable. By means of small-scale experiments, such as a thermogravimetric analysis or a cone calorimeter, in conjunction with inverse modelling, these parameters can be calculated with the help of supercomputers.

Within the framework of the BMBF-funded BESKID project, BUW is investigating new approaches based on artificial intelligence. These will be used to determine material parameters directly from small-scale experiments. The new model will provide material parameters for simulations of fire propagation, which will be used by the project consortium for validation and application studies. The project is being carried out in collaboration with industrial partners, the Research Centre Jülich (FZJ) and the Chair Fire Dynamics at BUW. The method development is based on small-scale laboratory experiments conducted at the FZJ. Thus, a close scientific exchange between the BUW and the FZJ is aimed at. In cooperation with the industrial partners, the methods are used for testing and validation in real-scale experiments in the application case of rail transport vehicles and compared with classical approaches.

Professional and personal requirements:

  • Completed university studies (Master’s degree or comparable) in engineering, physics or a related field, desirably with a doctorate in the field of fire dynamics
  • Expertise in the conception and implementation of scientific simulation models, as well as in the field of machine learning
  • Experience in programming in Python or C++
  • Willingness to work in an interdisciplinary and international team
  • Strong interest in complex issues and basic research
  • Good social and communication skills
  • Very good knowledge of the English language

Responsibilities and duties:

  • Development and application of computer models in fire dynamics
  • Evaluation of experimental data for model validation
  • Cooperation in national and international collaborations
  • Participation in project meetings
  • Presentation of results at meetings and conferences
  • Preparation of interim and final reports

Our offer:

  • Further training in the acquisition, processing and management of research projects, integration into personnel management and university teaching
  • Embedding of research activities in an interdisciplinary and international research environment
  • Opportunities for flexible working hours, support with childcare and suitable solutions for your individual life situation

Applications including all relevant credentials (motivation letter, CV, proof of a successful graduation and/or PhD, job references, letters of reference, links to software projects, proof of a severe disability) should be addressed to Prof. Dr. Lukas Arnold and solely submitted via the online portal of the University of Wuppertal. Kindly note, that incomplete applications will not be considered.

Application deadline: 08.01.2023

PhD (via MPhil) Studentship on Fire Safety at University of Central Lancashire

Link for application: https://www.jobs.ac.uk/job/CVJ829/phd-via-mphil-studentship-in-engineering

Applications are invited for a PhD (via MPhil) studentship within the School of Engineering, based at the Preston (UK) Campus. The studentship is tenable for up to 3.5 years full-time (subject to satisfactory progress). The studentship will provide an annual stipend of £17,668 for 3.5 years. Both UK/Home and EU/International Applicants may apply but Tuition Fees will only be covered at the UK/Home rate for up to 3.5 years. EU/International Applicants would be expected to pay the difference between the UK/Home fee rate and EU/International fee rate. Other Allowances include up to £5,000 per annum bench fees.

It is expected the successful applicant will commence March 2023.

Project Title: Utilisation of digital tools to enhance fire safety of occupants in high-rise residential buildings (HRRBs) during evacuation

Project Description:

In the aftermath of the Grenfell Tower tragedy and given the increase of number of fire incidents in HRRBs around the world, e.g., Kaohsiung building in Taiwan (2021), Torre Dei Moro in Italy (2021), Madrid Tower Block in Spain (2020); fire safety of HRRBs is becoming increasingly important. Though there is an increased development of digital technologies, their application is not yet well established in fire research and evacuation. Proposed research aims to bridge this gap by providing a framework of good practices and recommendations to optimise efficiency of evacuation practices in HRRB using Building Information Modelling (BIM).

The key objectives of the proposed research will be to:

  1. Develop and validate numerical methodologies to assess effectiveness of evacuation strategies in HRRB
  2. Correlate factors influencing evacuation strategies in HRRB
  3. Develop good practices to drive forward improvements in HRRB fire safety

To achieve the above, numerous egress models, namely FDS+Evac, Pathfinder, Evacuationz and STEPS, will be used to assess their effectiveness, limitations, and practicalities. The PhD project will complement existing research conducted by the supervisory team e.g., ongoing SAFE (Strategies Aiming at Effective Fire Evacuation in HRRB) project funded by the Home Office. Experimental data from the physical testing of the SAFE project will be used to validate the developed numerical methodologies. The envisaged integration of evacuation modelling of HRRB in BIM will promote fire safety.

Further information

Informal project related enquiries about the post can be made to Dr. Eleni Asimakopoulou at [email protected]

For the application form and full details go to: www.uclan.ac.uk/research/research-degrees/studentships

Completed application forms should be returned to the Research Admissions email [email protected] quoting the studentship reference number DTC35

Proposed interview date: 16th January 2023

Current uclan research students will not be eligible to apply for this research studentship

Academic Position at Delft University of Technology on Fire safety of civil engineering materials and structures

See the weblink: https://www.tudelft.nl/en/about-tu-delft/working-at-tu-delft/campaigns/delft-technology-fellowship/ceg

Fire safety of civil engineering materials and structures

Securing structural safety is one of the main tasks of a structural engineer. Whereas aspects as structural performance as a consequence of e.g. increased static and dynamic loading, long-term ageing, moisture effects etc. over lifetime is well embedded in national and international research agenda’s and education of structural engineers, the aspect of fire safety receives less attention. This field tends to be scattered over several disciplines, sometimes lacking clear focus. Research performed on this topic is nearly always incident-driven, but almost never defined from a more fundamental and long-term perspective.

 New developments further motivate the application of engineering principles to fire safety problems:

  • New types of fire as a result of increased use of electrical vehicles, temporary storage of electricity, increased use of electricity in general, leading to types of fire which are different from the past (higher temperature loads and temperature gradients, alternative fire propagation scenario’s etc.);
  • The use of novel construction materials and structures integration of systems and structures etc. in relation to fire safety engineering;
  • Unexpected damage caused by unforeseen risks in case of fire (progressive collapse, e.g. TUD Architecture, WTC New York, Grenfell London).

The fellow will concentrate research activities on the relation of extreme fire loading scenario’s with deformation and failure behaviour on material, structural component, structural and system level. Fire safety should be seen as an important component of integral system safety of engineering assets.

This research will be embedded in the 3MD-department, given its strengths on civil engineering materials, mechanics and structural and integral design. The position also has clear links with other departments (e.g. GSE – tunnels, TP – traffic management, HE – hydraulic civil structures). Opportunities to connect to national (Federatie Veilig Nederland, Instituut Fysieke Veiligheid, CROW), and international professional organizations (e.g. Society of Fire Protection Engineers, Institution of Fire Engineers, Society of Fir e Safety) and international academia are numerous.

Two opening for PhD students at University of Maryland

Job Type: Graduate research assistant
Job Institution: Department of Fire Protection Engineering – University of Maryland, College Park

Job Description: 

Dr. Ni’s lab has two openings for Ph.D. students starting in Spring or Fall 2023. The ideal candidates should have M.S. degree in structural engineering or mechanical engineering. Prior research experiences in fire science, computer vision, and machine learning are preferred. The successful candidates will work closely with the PI on projects that meet the mutual interests of the PI and the students. Admitted applicants will receive full-tuition support, stipend, and benefits. Besides the above prerequisites, candidates shall meet all admission requirements of the University of Maryland, College Park.

Interested students should contact Dr. Shuna Ni at [email protected] with “Ni Lab graduate school application” in the subject line. Please include a CV, transcripts (both undergraduate and graduate), TOEFL (≥96) or IELTS scores (≥7), a brief statement of research experience and interests, and contact information of 2-3 referees in the email.