Learning Technology Designer

Ignite the Future of Education with Stalford Academy!

At Stalford Academy, we’re more than just a PEI; we’re a launchpad for the next generation of innovators and thinkers. We pride ourselves on creating an environment where technology meets education, empowering our students to excel in an ever-evolving world. As we continue to push the boundaries of learning, we’re on the hunt for a visionary Learning Technology Designer to join our trailblazing team. If you’re passionate about shaping the future and revolutionizing education through cutting-edge tech, this is the perfect opportunity for you.

Your Mission

As a Learning Technology Designer at Stalford Academy, you’ll be the catalyst for transforming our educational landscape. Your role will be instrumental in weaving technology into the fabric of our curriculum, crafting digital experiences that captivate and engage. Collaborating with a dynamic team of educators, administrators, and IT professionals, you’ll design, implement, and fine-tune innovative learning technologies that make a real impact on students’ lives.

What You'll Do

Interested applicants are invited to apply directly at the NUS Career Portal

Your application will be processed only if you apply via NUS Career Portal

We regret that only shortlisted candidates will be notified.

Job Description

Applications are invited for a Research Associate position in the Centre for International Law (CIL), National University of Singapore. This is a one-year contractual position offered in connection with CIL’s expansion of its research on artificial intelligence and technology law. The objective of the position is to develop the research capabilities and knowledge of junior scholars by immersing them in a dynamic and supportive research environment where they can enhance their understanding of different areas of international law and policy.

The duties of the incumbent will involve:

• Assisting the AI and Technology Law Lead in research related to the programme’s ongoing projects in AI regulation, technology law, and related areas, including CIL’s role as an official observer in forums discussing the legal frameworks for AI and emerging technologies. This will involve examining the regulatory landscape for AI governance, ethical AI development, and the impact of AI on privacy, security, and human rights, while also exploring the intersections of AI, emerging technologies, and digital innovation, focusing on the development of legal frameworks to support responsible AI integration in global contexts.
• Assisting with the development and organisation of seminars and workshops organized by CIL.
• Conducting research and completing at least one publication for possible publication in a recognised journal at the termination of the position.

All research staff in CIL will have access to professional development opportunities (e.g., events, seminars, and training programmes) within NUS. They will also have opportunities to attend regional and international conferences, workshops and symposiums as well as other scholarly opportunities.

Qualifications

• An LLM or JD degree or equivalent experience;
• A solid foundation in AI and technology law, including knowledge of AI regulation, data protection, intellectual property, the ethical and legal challenges associated with emerging technologies, and an interest in cutting-edge and developing issues in AI Law governance;
• Excellent analytical, research and writing skills A high degree of self-motivation and strong organisational and computer skills;
• At least 2 years working experience.

Application Procedures

Interested applicants are invited to apply with the following supporting documents:

• A covering letter indicating experience, motivation for applying to work at CIL, and research interests;
• A detailed curriculum vitae (no more than three pages) setting out educational and work history;
• University transcripts;
• One sample of written work;
• Names and details of two referees.

The deadline for applications is 25 November 2024. Please note only shortlisted candidates will be notified.

More Information about CIL

CIL was established in 2009 as a university-level research institute at the National University of Singapore (NUS). It is located on the Bukit Timah Campus of NUS, together with the Faculty of Law and the Lee Kwan Yew School of Public Policy. As a university-level research institute, CIL engages in both legal and multi-disciplinary research on wide variety of international law issues. Its mission is to enable Singapore and the Asia-Pacific region to play a more significant role in the promotion and development of international law. More about CIL can be found here: https://cil.nus.edu.sg/

Chugai Pharmabody Research Pte. Ltd. (“CPR”) was established in Singapore as a wholly-owned subsidiary of Chugai Pharmaceutical Co., Ltd (Chugai), a member of Roche group, in January 2012 and started operations on July 2, 2012. Located at Biopolis in Singapore, it aims to generate new antibody drugs based on Chugai’s proprietary antibody engineering technologies, such as recycling antibody®, sweeping antibody®, bispecific antibody, various Fc engineered antibodies, and other new antibody engineering technologies that are under development.

Position – Research Assistant in Cell Biology and Technology Unit

Job Scope:

· Tool generation – expression vector construction and molecular cloning, protein expression, stable cell lines development

· Drug screening – ELISA, FACS, cell-based functional assay, confocal microscopy, SDS-PAGE, Western Blotting, qPCR etc.

· Cell culture – Suspension cell culture and adherent cell culture, 3D cell culture models, such as spheroid, organoid, organ slice and organ-on-a-chip

· Lab management

Requirements:

· Degree in Biomedical Science/Biotechnology/Molecular Biotechnology or a related field with at least 1-2 years of related working experience.

· Familiar with basic laboratory procedures especially mammalian cell culture.

· Experience in Molecular Biology, Protein Chemistry, 3D Cell culture, Cell engineering, Flow Cytometry, Confocal Microscopy, NGS analysis and other relevant skills will be an added advantage.

· In vivo sample handling experience is plus but not necessary.

· Programming skill ,for example Python, is also plus.

· Working experience in either industry or academia is welcome.

Fresh graduates are welcome to apply.

Interested applicants are invited to email their detailed resume, qualifications, availability, current and expected salary to: recruitment@chugai-pharmabody.com

For more information regarding our Company, you may refer to our website at:
http://chugai-pharmabody.com/

We regret that only short-listed candidates will be notified

Interested applicants are invited to apply directly at the NUS Career Portal

Your application will be processed only if you apply via NUS Career Portal

We regret that only shortlisted candidates will be notified.

About the Centre for Quantum Technologies (CQT)

The Centre for Quantum Technologies (CQT) in Singapore brings together physicists, computer scientists and engineers to do basic research on quantum physics and to build devices based on quantum phenomena. Experts in this new discipline of quantum technologies are applying their discoveries in computing, communications, and sensing.
CQT is hosted by the National University of Singapore. The Centre also has staff at the Agency for Science, Technology and Research, Nanyang Technological University, Singapore, and the Singapore University of Technology and Design. With some 200 staff and students, it offers a friendly and international work environment.

Learn more about CQT at www.quantumlah.org

Job Description

The candidate will work on mathematical foundations of quantum information measures, e.g., exploring integral formulae for relative entropies and on axiomatic derivations of quantum information measures. In this role he will also help supervise students and junior postdocs working on these topics.

Job Requirements

• Broad experience in quantum information, in particular in the mathematical foundations of quantum information and in the study of information measures
• Strong background in mathematics, in particular matrix analysis
• Experience in supervising students and junior postdocs

As a University of Applied Learning, SIT works closely with industry in our research pursuits. Our research staff will have the opportunity to be equipped with applied research skill sets that are relevant to industry demands while working on research projects in SIT.

The primary responsibility of this role is to deliver on a research project where you will be part of the research team to develop yeast and fungi for food ingredient and biochemical production. The specific goals are:

1. Metabolic engineering of Yarrowia and Candida yeasts for organic acid production
2. Design and optimization of fermentation method in 10L and 100L stirred tank vessels

Key Responsibilities:

• Fulfill the primary responsibilities within the project:
  i. Deliver structured presentations of research plans and findings every two weeks.
  ii. Provide guidance and mentorship to junior research engineers and undergraduate students working in the same research field.
  iii. Prepare scientific manuscripts for reporting and potential publication (as first or co-author).
• Prepare writeup for new research grant application
• Support undergraduate lab class conduct where applied research outcomes are utilized in undergraduate teaching.
• Conduct thorough risk assessments and ensure adherence to work, safety, and health regulations for all research activities.
• Coordinate procurement activities with licensed vendors for research items.

Job Requirements:

• Have a relevant PhD degree in Biochemistry or Biochemical Engineering
• Have at least 1 year experience with the metabolic engineering of Yarrowia and Candida yeasts, including foreign gene expression and gene deletion.
• Have at least 1 year experience with the use of bioreactor, HPLC-MS and GC-MS.
• Prior experience in the genetic manipulation of filamentous fungi cell line engineering is advantageous.

Key Competencies

• Able to build and maintain strong working relationships with people within and external to the university.
• Self-directed learner who believes in continuous learning and development
• Proficient in technical writing and presentation
• Possess strong analytical and critical thinking skills
• Show strong initiative, take ownership of work, and able to cope with failures

As a University of Applied Learning, SIT works closely with industry in our research pursuits. Our research staff will have the opportunity to be equipped with applied research skill sets that are relevant to industry demands while working on research projects in SIT.

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/produce/investigate obfuscation algorithms that will take advantage of quantum primitives. The techniques developed will aid in obfuscating quantum programs, quantum-classical hybrid programs and classical programs. Candidate should have good understanding of reverse engineering techniques, assembly language concepts and instructions and python programming. Candidate should have some understanding of quantum computing and cyber security. Prior experience in implementing quantum obfuscation techniques is an added advantage.

Key Responsibilities:

• Participate in and manage the research project with Principal Investigator (PI), Co-PI and the research team members to ensure all project deliverables are met.
• Undertake these responsibilities in the project:

1. Design quantum obfuscation techniques for data and code obfuscation
2. Implement the designed algorithms and integrate into an existing quantum obfuscation platform.

• 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:

• Have relevant competence in the areas of programming, reverse engineering and low level languages.
• Have a B-Engg or B-Tech degree in Computer Science, Computer Engineering, Information Security or Electronics and Communication Engineering from a reputable University. Possessing a Master’s or PhD degree will be advantageous.
• Knowledge of quantum computing and vulnerability analysis is desirable.
• Prior experience in implementing quantum obfuscation techniques is desirable.
• Prior experience in publishing in IEEE/ACM journals or conferences is desirable.
• Should have proficiency in Qiskit and Python programming.
• Should have good mathematical and analytical abilities.
• Should have excellent written and verbal communication skills in English.

Key Competencies

• Able to build and maintain strong working relationships with people within and external to the university.
• Self-directed learner who believes in continuous learning and development.
• Proficient in technical writing and presentation.
• Possess strong analytical and critical thinking skills.
• Show strong initiative and take ownership of work.

Major Challenges:

• Experimental analysis of the performance of quantum obfuscation due to lack of hardware resources.

The Yong Siew Toh Conservatory of Music, National University of Singapore, offers a unique and adventurous 21st century Asian environment in which we train and educate performers, composers and recording engineers to take advantage of future professional and artistic opportunities both in Singapore and in the world. The Conservatory is distinctively international in terms of its faculty, student population and artistic outlook. Our mission is to be a focal point for musical activity, artistic development and research, both for Singapore and the Asia-Pacific region.

The Conservatory is seeking a full-time Postdoctoral Research Fellow in Musical Brain Computer Interface technology.

The Research Fellow (RF) will design studies and conduct research testing the efficacy of a newly-developed music-based Brain Computer Interface (BCI) for emotion regulation in listeners. She/he will work in a multi-disciplinary team to 1) conduct R&D of our automatic music generation systems for affective music generation, and 2) help test the efficacy of a music generation system paired with a BCI for emotion regulation in healthy as well as neurological and/or mental health patients. The RF will design and conduct experimental research and user studies, help coordinate research activities, and perform data analyses. The RF will need to be capable of working both independently and in a team, of developing innovative solutions, and of publishing research findings in high-impact conferences and journals. This position is part of an exciting large-scale (multi-research team) project that aims to create a holistic BCI solution for the restoration and enhancement of brain functions.

Responsibilities

• Design and develop user studies and experiment interfaces to test the efficacy of an affective music generation system paired with a BCI.
• Explore solutions for music and BCI-driven therapy for mental health (depression, anxiety).
• Conduct pilot trials of an EEG-based musical BCI
• Conduct data analysis, perform statistics, and interpret the users’ behavioral and neural signals.
• Prepare manuscripts and publish in high-impact journals and conferences.
• Assist in supervising research staff and students.
• Participate in IRB applications and report writing.
• If candidate’s background allows: Co-develop novel algorithms for our BCI system for emotion regulation, modify code for automatic music generation algorithms for greater efficacy.

Qualifications

• Ph.D. in Cognitive Science, Computer Science & Engineering, Music Information Retrieval (MIR), Psychology, or related disciplines
• Significant experience with experimental design, quantitative analysis, and statistics
• Strong publication track record
• Programming experience
• Ability to work independently and in teams
• Some knowledge of music / music theory is strongly desired
• Computational neuroscience and neuroimaging (e.g., EEG) experience a strong plus
• Experience with algorithmic music or automatic music generation is advantageous

Duration and other details:

• Position available immediately
• 1 year contract, with possible extension up to an additional 6 months
• Competitive salary and benefits
• The candidate must be based in, or be able to relocate to, Singapore (working from abroad is not possible due to rules of the funding body)

As a University of Applied Learning, SIT works closely with industry in our research pursuits. Our research staff will have the opportunity to be equipped with applied research skill sets that are relevant to industry demands while working on research projects in SIT.

The project is an oral language proficiency evaluation on primary students. Specifically, this role involves the design and development of gamification features, which leverage on data provided by AI tools, to help encourage primary students to practice and improve in their mother tongue learning.

We are looking for a research engineer with a passion for developing and maintaining highly interactive gamified cross-platform apps. The primary responsibility of this role will be to design and develop the gamification features of this application to encourage desirable user behaviors and encourage more regular language learning activities for users.

Knowledge of gamification would be advantageous but support in training in gamification will be provided.

Key Responsibilities

• Participate in and manage the research project with Principle Investigator (PI) and Co-PI and the research team members to ensure all project deliverables are met.
• Co-design gamification elements for the language learning app.
• Develop gamification features for the gamification app.
• Support in research and writeups related to the use of the gamification app.
• 
  

Job Requirements

• Bachelor Degree in a computing-related domain, e.g., Computer Science, Computer Engineering, Software Engineering, etc. Other applicants with equivalent industry experience are welcome to apply too.
• Experience developing interactive web apps using various web programming technologies like javascript, python, java, C#, HTML and/or CSS.
• Good programming foundation in data structures and algorithms.
• Knowledge of Agile development methodologies (e.g., Scrum and/or TDD).
• Applicants with equivalent industry experience may be considered.

Key Competencies

• Experience in cross-platform web/app development frameworks is a plus (e.g., React Native or Flutter).
• Experience in backend frameworks is a plus (e.g., node JS or djano).
• Able to build and maintain strong working relationships with people within and external to the university.
• Flexibility to work across functions/teams as part of a team in a dynamic environment.
• Self-directed learner who believes in continuous learning and development.
• Proficient in technical writing and presentation.
• Possess strong analytical and critical thinking skills.
• Show strong initiative and take ownership of work.
• Possess good project management skills.
• 
  

This is an exciting opportunity to be part of our dynamic research team at SIT Teaching & Learning Academy (STLA). The research assistant will play a crucial role in project management, data collection and analysis and present findings to various stakeholders. The core of this role will be to assist in several new research projects which explore various approaches for how Generative AI (GAI) and Large Language Models (LLMS) can be used to facilitate better teaching and learning practices. Beyond this, you will work closely with and be guided by STLA’s larger research team and have opportunities to support on wider research projects as part of our research team as well.

Key Responsibilities:

• Support formulation of research methodologies for several AI based research projects
• Schedule and Conduct surveys, interviews and FGD’s for data collection purposes
• Manage and monitor survey completion rates
• Manage tokens of appreciation for research participants
• Conduct both quantitative and qualitative analysis of data when required
• Effectively communicate research findings to the team and various stakeholders

Job Requirements:

• Bachelor’s degree in a relevant field or evidence of equivalent knowledge and skills (e.g., psychology, education, social sciences, computer science)
• 1-3 years of experience in educational research
• Functional understanding of teaching methods and strategies in an applied learning context
• Experience in research project management and data collection preferred
• Experience in qualitative and quantitative research methods preferred
• Possess track record of scholarly publications/presentations preferred
• Familiarity and interest with coaching principles and research is a plus
• Knowledge, interest and experience in GAI/LLM research is a plus

Key Competencies

• Interpersonal skills for recruiting research participants and collecting data from them
• Strong organisational skills to effectively manage data collection processes, multiple tasks, deadlines, and project components
• Ability to apply appropriate data collection and analysis techniques
• Ability to efficiently managing time to meet project milestones and deliverables
• Have a functional understanding of teaching methods and strategies in an applied learning context
• Understanding, interest and awareness of uses for GAI and LLM technology

Major Challenges:

• Learning new content knowledge
• Learning new data collection and analysis methods
• Interacting with research participants for recruitment, data collection, and research administration

Role Overview:

In this role, you will be responsible for supervising and managing the execution of all campus graduate training programs and skilling initiatives in both Singapore and Malaysia. This involves ensuring the effective delivery of the programs, coordinating with trainers and facilitators, monitoring progress, and guaranteeing that the learning objectives are met successfully. Additionally, you will work closely with stakeholders to address any challenges that may arise and continuously seek ways to enhance the effectiveness and impact of the training programs across both regions.

Job Description:

• Collaborate with support functions such as TSC and TAG to establish a pipeline for annual graduate hires, working closely with these teams to forecast and strategize graduate recruitment.
• Partner with business leaders in the region to identify skill development needs (S2D, S2R, and S2C), leading cross-functional teams in evaluating, planning, and executing learning and development strategies to address learning requirements in Singapore and Malaysia.
• Building rapport with teams to support learning needs of the business, acting as a subject matter expert and ensuring that all initiatives are clearly prioritized and delivered within agreed timescales.
• Driving customization of training programs to meet the region-specific learning needs.
• Reviewing participant attendance, evaluating trainer performance and the effectiveness of training programs.
• Prepare regular reports for L&D and business leadership teams.
• Work with other L&D Team members across the globe to share common best practices.
• Have cadence calls with the leaders weekly/monthly/quarterly call with practice to discuss progress, issues, risks and performance.
• Review ongoing opportunities in pipeline and discuss strategies.
• Implement the project plan related to the execution of training programs as directed by the Learning Delivery Lead.
• Generate / Respond to the Skilling Needs.
• Drive SkillUp compliance for learning goals.
• Engage with government agencies such as IMDA (Singapore), MDEC, and HRDC (Malaysia) regarding various funding programs and organize training accordingly.
• Analyze and promptly report feedback in terms of L1, L2, and L3 from programs/initiatives to the Solutions team and consultants.
• Liaise with external vendors for execution of Programs / initiatives (facilitator schedules)
• Monitor and ensure adherence to the Vendor engagement in terms of delivery and quality

While Learning delivery is the primary responsibility of the role, candidate will also be responsible for engaging and managing relationships with all business practices in their geo and work with local leaders to understand their business/learning needs. Be the Brand Ambassador for Cognizant Learning and Development.

Requirements:

• At least 24 months commitment to stay in the new role
• Strong team player with excellent relationship-building and communication skills
• Proficiency in Excel with hands-on experience in basic Excel formulas like VLOOKUP, PivotTables, and fundamental PowerPoint skills
• Ability to work effectively with minimal supervision.
• Go getter and ability implement and innovative.
• Good understanding of Business and technology landscape.
• Good Communication/presentation skills.
• Cross Cultural adaptability and learn ability
• Should be empathetic and a team player.
• Fast learner with a willingness to learn from setbacks.
• Competent in Infographics, MS office and reporting tools.
• Project Management abilities.

Project Overview

The SMART Low Energy Electronic Systems IRG aims to identify new integrated circuit technologies that become the new added value for reduced energy per function, lower power consumption, and higher performance in our electronics infrastructure. These integrated circuits of the future are expected to impact applications in wireless communication, power electronics, LED lighting, printing, displays, and computing. The research is performed by teams that have expertise in materials, devices, and circuits, invoking new advances at all levels to produce electronic systems that perform new functions while decreasing system energy consumption. The initial technology goals are in the areas of Power Electronic Systems, Efficient Communications, and Multi-Functional Displays and Lighting Systems.

Responsibilities

• Semiconductor tool maintenance and stocking up of laboratory consumables
• Manage contractors/vendors and conduct risk assessment
• Regulatory licence submissions and statutory audits
• Incident report writing and follow-up with corrective actions
• Design and build engineering solutions to improve tool uptime
• Assist Programme Manager with continuous improvement projects

Requirements

• Degree or Diploma holders with > 3 years of relevant experience
• 2-3 years of experience working in a semiconductor chemical lab and cleanroom
• Knowledge of Microsoft Office
• Troubleshooting skills (electrical & mechanical) on equipment
• Strong attention to detail with good presentation skills
• Be part of Emergency Response Team (Training will be provided)
• Ability to perform physically demanding work such as moving and lifting equipment, handling of hazardous chemicals/gases/wastes

This is a one-year full-time contract position.

To apply, please visit our website at: https://portal.smart.mit.edu/careers/career-opportunities

Interested applicants are invited to send in their full CV/resume, cover letter and list of three references (to include reference names and contact information). We regret that only shortlisted candidates will be notified.

As a University of Applied Learning, SIT works closely with industry in our research pursuits. Our research staff will have the opportunity to be equipped with applied research skill sets that are relevant to industry demands while working on research projects in SIT.

We are currently seeking a Research Dietitian to support the research team on a research grant aimed at elderly nutrition. This position involves conducting nutrition interviews with stakeholders, managing study procedures, collecting and analyzing research data. The Research Dietitian will work closely with the Principal Investigators, healthcare professionals and study participants to ensure the successful execution of research protocols.

Key Responsibilities:

• Collaborate with principal investigators, dietitians, speech therapists, and kitchen staff to develop and deliver research diets.
• Conduct R&D kitchen trials on research diets.
• Conduct nutrition interviews and assessments with study participants.
• Coordinate research sites and manage study procedures, including recruitment of subjects, and data collection.
• Analyze dietary data and prepare reports for publication in academic journals.
• Ensure compliance with ethical standards and regulatory requirements in all research activities.

Job Requirements:

• Bachelor’s / Masters degree in Dietetics from a recognized university.
• Minimum of 2 years of experience in a research setting. If no relevant research experience, demonstration of research experience during Honours / Masters project can be considered.

Key Competencies:

• Strong knowledge and keen interest in elderly nutrition
• Able to conduct hands-on cooking trials on research diets
• Strong knowledge of research protocol and data analysis
• Excellent organizational, communication and problem-solving skills
• Able to work independently and as part of a multidisciplinary team
• Experience in clinical research and dietary data collection is preferred

Project Overview

We are seeking a highly motivated and creative Research Engineer to contribute to cutting-edge research and development in the field of soft robotics, with a focus on the design, fabrication, and control of soft robotic manipulators for complex tasks. The successful candidate will work closely with a multidisciplinary team to develop innovative robotic systems, control algorithms, and sensory feedback mechanisms. This is a unique opportunity to participate in both fundamental and applied research, as well as collaborative projects with industry partners.

Responsibilities

• Assist in the design, fabrication, and testing of soft robotic manipulators aimed at solving complex manipulation tasks.
• Develop and implement novel control strategies, algorithms, and sensory feedback systems to enhance the precision and adaptability of soft robotics.
• Collaborate with cross-functional teams to integrate mechanical, electrical, and software components into functional robotic systems.
• Conduct experimental validation, performance testing, and iterative improvements of developed prototypes.
• Support applied projects in collaboration with industrial partners and contribute to technology transfer efforts.
• Present research findings at international workshops, conferences, and internal project meetings.
• Contribute to the preparation of technical reports and assist in writing articles for publication in top-tier journals and conferences.

Requirements

• Bachelor's or Master’s degree in mechanical engineering, robotics, computer science, or a related field.
• Hands-on experience in robotics, soft robotics, or interactive systems.
• Proficiency in CAD software, prototyping, and mechatronics.
• Ability to work collaboratively in a multidisciplinary team environment.
• Strong problem-solving skills and creativity.
• Experience with control algorithms, sensory feedback systems, and robotic manipulation is an advantage.

To apply, please visit our website at: https://portal.smart.mit.edu/careers/career-opportunities

Interested applicants are invited to send in their full CV/resume, cover letter and list of three references (to include reference names and contact information). We regret that only shortlisted candidates will be notified.

Interested applicants are invited to apply directly at the NUS Career Portal

Your application will be processed only if you apply via NUS Career Portal

We regret that only shortlisted candidates will be notified.

Job Description

We are looking for a full-time research fellow to work on an urban landscape optimization project. Design technology is not a novel concept; it has been widely used to address various design challenges, such as visualization and performance assessment. Although it greatly helps designers gain a more profound insight into design, it should not be just a visualization or assessment tool but an essential component of design thinking processes. This project aims to use design technology to automate the design process and potentially complement experts' designs, in order to improve the rationale and efficiency of our design.

The research fellow is expected to join at the end of 2024 or early 2025. The position is a one-year appointment and might be renewed up to 3 years based on the performance and career plan of the hired person.

Responsibility

• Develop and implement generative AI models for urban landscape planning and design
• Interpret and analyse data
• Collaborate with other team members to conduct interdisciplinary research
• Publish research findings in peer-reviewed journals and present at conferences
• Collaborate with the PI to develop research proposals and grant applications

Qualifications

• A PhD degree in environmental science, GIS, computer science or other relevant disciplines
• Good background knowledge and overall interest in design technology
• Proficient in statistical and programming skills, like Python, MATLAB and R
• Experience in spatial analysis
• Experience in using large-scale data sets
• Have strong publication records
• Excellent scientific writing and communication skills

As a University of Applied Learning, SIT works closely with industry in our research pursuits. Our research staff will have the opportunity to be equipped with applied research skill sets that are relevant to industry demands while working on research projects in SIT.

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 perform modelling and real-time simulation of electric vessel’s onboard microgrid and propulsion system.

Key Responsibilities

• Participate in and manage the research project with Principal Investigator (PI), Co-PI and the research team members to develop onboard microgrid simulation models with energy management systems as well as to plan and test the relevant hardware systems.
• Work with research team to deliver the work scope and undertake these responsibilities in the project.
  Work Responsibilities:
  1. Develop detailed electrical models of the microgrid (power system) of various e-vessels based on the concept design in a simulation environment such as Matlab/Simulink.
  2. Design and develop an intelligent energy management system for the e-vessel microgrid for coordinated control of multiple energy sources considering cost, carbon, and operation constraints.
  3. Operate the simulated electrical model with EMS controller to perform simulations for various cases to demonstrate performance and recommend improvements at unit, sub-system and whole system level.
  4. Implement and carry out simulation studies for onboard microgrid and connection to shore charging infrastructure.
• Recommend efficient and reliable power system architecture(s) with other merits of high-density and light-weight.
• Test the relevant power electronics and drives system hardware and troubleshoot the challenging problems.
• 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 and assist in laboratory management.
• Mentor students involved in the research project
• For those hired at senior levels, management responsibilities may be included

Job Requirements

• Have a Master’s or PhD’s degree in Electrical Engineering or equivalent from a recognized University. Major in Power Engineering will be advantageous.
• Minimum 3 years of relevant experience in modelling and energy management algorithm development using MATLAB/Simulink for microgrid applications.
• Knowledge of power electronics, drives, and control is highly preferred. Hardware testing experience will be advantageous.
• Have experience and commitment to participate in project meetings.
• Self-motivated team player and good project management skills.
• Excellent writing, communication, presentation, and interpersonal skills.

Key Competencies

• Able to build and maintain strong working relationships with people within and external to the university.
• Self-directed learner who believes in continuous learning and development
• Proficient in technical writing and presentation
• Possess strong analytical and critical thinking skills
• Show strong initiative and take ownership of work