​Shahid Chamran University of Ahvaz

2 x Part-Time 0.6FTE Continuing Positions based at Bundoora Campus Salary Level B starting from $114,855 plus 17% superannuation (pro-rated) About the position The Department of Psychology, Counselling and Therapy encompasses several broadly related disciplines, including clinical, professional, developmental and social psychology; neuropsychology, cognition and behavioural neuroscience; rehabilitation and mental health counselling; and art and family therapy. Duties will include but are not limited to: Coordinate and teach subjects which provide a high-quality learning experience that engages students, including providing constructive, fair, and timely feedback on learning. Initiate and participate in design of innovative and effective curriculum which reflects developing best practice nationally and internationally, utilising various methodologies including online and blended learning, and including taking an evidence-based approach to evaluate how these initiatives improve the student experience. Oversee and mentor students engaged in clinical or professional psychology work, including providing primary supervision if appropriately qualified.  If working within the placements team, taking responsibility for securing and supporting placements with existing and new industry partners.  Skills and Experience To be considered for this position, you will have: PhD or Masters degree or equivalent accreditation and standing recognised by the University/profession as appropriate for the relevant discipline area. Professional qualification and experience, including: Full registration as a psychologist with the Australian Health Practitioner Regulation Agency (AHPRA);  Approved or eligibility for approval as a supervising psychologist at the higher degree program level by the Psychology Board of Australia (PsyBA) Endorsement as a specialist in a relevant sub-discipline with the Psychology Board of Australia (PBA) is not required but would be an advantage (especially clinical psychology).  Demonstrated ability to be effective in teaching and curriculum development in face-to-face, blended and/or online modes, as evidenced by, for example, high results on student feedback on teaching surveys relative to their peers, or through other forms of evidence. Demonstrated ability to engage with and produce outputs related to the Scholarship of Teaching and Learning or program improvement more generally. Please refer to the Position Description for other duties, skills and experience required for this position.    PD - Lecturer PG Psychology 0.6FTE TF.pdf Benefits: 17% employer contributed superannuation On site childcare facilities Flexible work arrangements Discounts for staff and their family members to study a range of La Trobe courses  How to apply Closing date: By 11:55pm on Sunday 22nd March 2026 Position Enquiries: Karli Treyvaud, HOD, Psychology, Counselling & Therapy Email: K.Treyvaud@latrobe.edu.au Recruitment Enquiries: recruitment@latrobe.edu.au Only candidates with Full Working Rights in Australia may apply for this position. Please submit an online application ONLY and include the following documents:  Cover letter, An up-to-date resume and; A separate document addressing each bullet point under the Essential Criteria ‘Skills and knowledge required for the position’, which is located in the position description. Please scroll down to apply. Aboriginal and Torres Strait Islander Applicants  We welcome and strongly encourage applications from Aboriginal and Torres Strait Islander people. La Trobe University is committed to creating a diverse and inclusive workforce. We take an intersectional approach by actively supporting and encouraging people of all backgrounds and abilities to submit an application and aim to ensure that the recruitment and employee experience is as accessible and inclusive as possible. Flexibility in interview format will be offered to shortlisted candidates. All La Trobe University employees are bound by the Working with Children Act 2005. If you are successful, you will be required to hold a valid Victorian Employee Working with Children Check prior to commencement. Why La Trobe:  Develop your career at an innovative, global university where you’ll collaborate with community and industry to create impact.  Enjoy working on our inspiring and stunning campuses – the perfect hub for industry, students and academics  Help transform the lives of students, partners and communities now and in the future La Trobe’s Cultural Qualities: La Trobe University is committed to upholding the National Code to Prevent and Respond to Gender-Based Violence (GBV Code). This aligns with our mission to create safe and respectful communities. Candidates will be asked during the recruitment process to declare whether they have ever been investigated for, or found to have engaged in, gender-based violence in previous employment and/or in legal proceedings and provide relevant information to assist in determining suitability. Gender-based violence means any form of physical or non-physical violence, harassment, abuse or threats based on gender, that results in, or is likely to result in harm, coercion, control, fear or deprivation liberty or autonomy. 

Job Purpose: The primary responsibility of this role is to deliver on an industry innovation research project where you will be part of the research team to develop a Multimodal AI for Fire Detection & Safety Systems. Key Responsibilities:  Participate in and manage the research project with Principal Investigator (PI), Collaborator and the research team members to ensure all project deliverables are met. Undertake these responsibilities in the project: Develop and deploy multimodal AI algorithms for fire, smoke, and hot-work detection by fusing optical, thermal/infrared, LiDAR, RADAR, and gas sensor data under varying environmental conditions. Design computer vision and human-behavior analysis models for detecting personnel, posture, casualties, and hazardous situations, including operation in low-visibility scenarios. Implement scene mapping, environment perception, and path-planning algorithms using LiDAR and RADAR data to support evacuation guidance and first-responder navigation. Build real-time predictive models for fire intensity and spread forecasting and integrate LLM-based scene description and decision support into an end-to-end deployable system. Carry out Risk Assessment, and ensure compliance with Work, Safety and Health Regulations. Coordinate procurement and liaison with vendors/suppliers. Work independently, as well as within a team, to ensure proper operation and maintenance of equipment. Job Requirements Bachelor’s degree (minimum) in Electrical / Electronics Engineering, Computer Engineering, Computer Science, Robotics, or a closely related discipline, with foundational knowledge in signal processing and machine learning. Working knowledge of computer vision and deep learning concepts, including object detection and image-based classification, with hands-on experience using Python and at least one deep learning framework (e.g., PyTorch or TensorFlow). Basic experience handling and processing sensor data (e.g., camera, thermal, LiDAR, RADAR, or similar perception sensors) in real-world or laboratory settings. Familiarity with Linux-based development environments and standard software tools for data analysis, model training, and evaluation. Ability to independently implement, test, and document applied research solutions, with prior experience through projects, internships, or research assistantships considered sufficient. Prior experience in publishing is desirable.

Doctoral position at Department of Electronics and Nanoengineering at Aalto University, in Espoo, Finland. DC12: Design, fabrication, and characterization of reconfigurable and time-varying optical metasurfaces Main supervisor: Prof. Viktar Asadchy[AALTO] Co-supervisors/mentors:  Prof. Rockstuhl [KIT] and Prof. Díaz-Rubio [UPV] Objectives To design optical metasurfaces capable of complex reconfigurable functionalities while restricting control to a single, or otherwise limited, discrete set of tuning parameters, enabling practical global actuation and robust device operation. To design optical metasurfaces and material platforms exhibiting time-varying responses. Using adjoint-based optimization and spatial structuring, to realize complex time-modulated medium dynamics with realistic material constraints and experimentally feasible excitation and driving schemes. To fabricate and experimentally characterize the designed prototypes, and to validate their reconfigurable and time-varying performance through quantitative comparison with analytical modeling and full-wave simulation results. This position is part of the MetaTune Doctoral Network "Reconfigurability using inversely designed metasurfaces", which has been funded under the Horizon Europe Marie Skłodowska-Curie Actions (MSCA) program. Acquire knowledge During the thesis, the candidate will acquire a solid understanding of the theoretical and practical requirements for designing optical metasurfaces with complex reconfigurable and time-varying responses, with particular emphasis on achieving rich functionality under a single or otherwise limited set of discrete tuning parameters. In parallel, the candidate will gain in-depth knowledge of time-modulated photonic media, nonlinear optics, adjoint-based optimization strategies for high-dimensional inverse design, and realistic material and excitation constraints at optical frequencies. The candidate will also develop practical expertise in prototype fabrication, experimental characterization, and quantitative validation of measured performance against analytical models and full-wave simulations. Go to the project webpage for more information What METATUNE Offers Work contract at Aalto is for 36 months funded through the MSCA network, with the additional benefits for employees (public and universal health system, free schools, etc.). Three research stays, one 4-month at Karlsruher Institut fuer Technologie, one 3-month at Photonicsens SL in Valencia, Spain, and one 3-month at Polytechnic University of Valencia are foreseen in the research plan. Opportunity to pursue a PhD degree at a leading European university within a collaborative, international network. Training program including research-specific and transferable skills courses. Active participation in workshops, conferences, and network-wide events to build professional and scientific connections. Stimulating, multidisciplinary, and international research environment within a prestigious European training network. Starting date: Now-December 2026; negotiable. Deadline for online application: May 31, 2026 (but candidates are encouraged to apply as soon as possible). Requirements Mandatory Requirements You must have a finalised master’s degree in fields related to the research topic: Electrical Engineering, Physics, Telecommunications Engineering, Applied Physics, Optics, Material Engineering, or similar. You should not have a doctoral degree at the time of recruitment.  You must not have resided or carried out your main activity (work, studies, etc.) in Finland for more than 12 months in the 36 months immediately before the recruitment (this is a requirement from the funding authority). You will apply for the study right in doctoral studies at Aalto University School of Electrical Engineering and must satisfy the eligibility conditions for this doctoral programme. Sufficient skills in the English language. Additional Requirements Strong background in electrodynamics and excellent mathematical skills. Basic knowledge of computational electromagnetics. High proficiency in Python, MATLAB, Wolfram Mathematica, or similar programming software. High motivation and creativity. Good written and verbal communication, including presentation skills. Good organizational skills, attention to details, and ability to meet deadlines. Willingness to learn and work collaboratively in a research environment. Desired skills and knowledge Proficiency in electromagnetic simulation software, such as COMSOL Multiphysics, ANSYS HFSS, or CST Studio Suite. Previous experience with the topic of time-varying materials or systems. Solid knowledge of computational electromagnetics. Previous experience in nanofabrication or design of metasurfaces. Apply now via this link, at the latest by May 31st, 2026: https://metatune.webs.upv.es/jobs/