Total 33 job vacancies by Singapore Institute Of Technology

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

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-partnered Ignition research project where you will be part of a collaborative team exploring innovative ways of characterizing the physical and rheological properties of liquid personal care products and understanding the impact of these properties in product design and process development.

Key Responsibilities

• In this role, you will perform shear and extensional rheological characterization of a large variety of liquid personal care products including lotions, topical oils, and more. We will explore innovative and emerging methods of rheological characterization and analyzing rheological data to extract material parameters to build a database of materials. Working with our industrial partner we will establish an understanding of rheological properties that are useful for product formulation and process design related to lab and larger scale extrusion/dispensing applications.More specific responsibilities include:
  • Participate in and manage the research project with Principal Investigator (PI), and the research team members to ensure all project deliverables are met.
  • Undertake development of rheological protocols and characterization of liquid personal care products
  • Formulate model materials with various additives to understand their impact on product rheology
  • Design, execute, and interpret experiments independently and with support from the PI.
  • Prepare and deliver written articles, reports, and presentations for industrial partners and external audiences.
  • Attend and present at regular group meetings to receive feedback on work done and future plans
  • 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.

Job Requirements

• Have relevant competence in the areas of rheological characterization and analysis, wet lab work, material formulation
• Have a degree in pharmaceutical engineering, chemical engineering, mechanical engineering, food or materials science/engineering, or a related field. Possessing a Master’s degree will be advantageous.
• Knowledge of any of the following will be advantageous: material dispensing/extrusion processing, material science, textural and sensory analysis

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 communicating via technical writing and presentations.
• Possess strong analytical and critical thinking skills.
• Show strong initiative and take ownership of work.

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 Pharmaceutical Innovation Programme Singapore research project where you will be part of a collaborative team exploring innovative ways of understanding extrusion processing for pharmaceutical drug materials and products using rheological measurements.

Key Responsibilities

In this role, you will characterize mixtures of pharmaceutical excipients and drug materials to develop methodologies for screening hot-melt extrusion formulations and selecting optimal operating conditions using rheology, with the objective of producing amorphous-solid-dispersions. You will validate the developed processing space and operating conditions for extruded pharmaceutical formulations using a lab-scale extruder. In collaboration with researchers at the Singapore-MIT Alliance for Research and Technology (SMART), you will characterize the physical properties and performance of intermediate pharmaceutical drug products. The created methods will be transferred to the industrial partner to enhance their product development process using rheological characterization.

More specific responsibilities include:

• Participate in and manage the research project with Principal Investigator (PI), and the research team members to ensure all project deliverables are met.
• Undertake characterization of pharmaceutical active ingredients, polymeric excipients, and plasticizers for producing amorphous-solid-dispersions.
• Perform lab-scale hot-melt extrusion of pharmaceutical materials to validate predicted processing conditions and product outcomes.
• Collaborate with broader pharmaceutical research team at SMART.
• Design, execute, and interpret experiments independently.
• Author papers in high-quality journals in areas that are related to the research.
• Prepare and deliver reports and presentations for industrial partners
• Carry out Risk Assessment, and ensure compliance with Work, Safety and Health Regulations.
• Coordinate procurement and liaise with vendors/suppliers.
• Work independently, as well as within a team.

Job Requirements

• Have deep hands-on experience with at least one of the areas of polymer rheology, extrusion processing, pharmaceutical engineering with small molecules.
• Relevant competence in the areas of wet lab work, analytical instrumentation, material science and formulation
• Have an advanced degree in chemical engineering, mechanical engineering, materials science and engineering, or a related field.
• Knowledge of any of the following will be advantageous: rheology, physical characterisation, crystallisation, polymer melts, extrusion, material physics.

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 communicating via technical writing and presentations.
• Possess strong analytical and critical thinking skills.
• Show strong initiative and take ownership of work.

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 a first-of-its kind AI-assisted integrated NDT verification system for reusability of structural steel with accuracy of ±10% at confidence level of 95%. The key innovation is to use AI to analyse a bigger data set and build a multi-parameter machine learning (ML) model that integrate the complex mechanical properties obtained from DT and the electric/magnetic permeability data obtained from NDT to predict the critical material characteristics of reusable steels.

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. Establishing test result database: Conducting both DTs and NDTs on the same samples to create a comprehensive dataset for AI model development, managing data collection processes on-site at the collaborator’s factory, and ensuring the accuracy and integrity of the collected data.
  2. Developing statistical model: Utilizing DT results to develop statistical models for estimating mechanical characteristics based on normal distribution and analyzing statistical data to support model development.
  3. Developing and verifying the AI model: Developing various regression models and evaluate their feasibility and suitability, conducting model fitting and verification phases using training and test datasets and ensuring the selected model meets the accuracy criteria (±10% at 95% confidence) for individual mechanical characteristics and overall classification results (grade determination).
  4. Validation of the method: Implementing the proposed method and AI model in test bedding cases, measuring the impact of the method in terms of time and cost savings and developing implementation guidelines based on validation results.
• 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.
• Publish research findings in peer-reviewed journals and present at conferences.
• Assist in the preparation of project reports, proposals, and documentation.

Requirements

• Have relevant competence in the areas of structural engineering, material science, statistics and programming basics.
• Have a degree in Civil Engineering, Mechanical Engineering or Material Science. Possessing a Master’s or PhD degree will be advantageous.
• Knowledge of AI / ML and common ML programming languages will be 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 and take ownership of work
• Able to carry out data preprocessing, develop statistical and regression models.
• Possess knowledge of the mechanical properties of structural steel and factors affecting its performance
• Able to prioritize tasks, meet deadlines, and manage multiple responsibilities.

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 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

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, the project is to provide an automatic interface to help primary students practice and improve in their mother tongue learning.

The primary responsibility of this role is to contribute to the delivery of an interactive multilingual language learning system. The role will be part of the research and development team to implement an automatic speech evaluation application that promotes mother tongue learning for students.

Candidates should have work experience in speech recognition and language learning, and a good knowledge of general machine learning, especially neural networks. Candidates with work experience in speech recognition and language learning will be advantageous, however training will be provided.

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:

a) Help in data collection.
b) Data preprocessing
c) Object Segmentation
d) Image to text
e) Text Summarization
f) Question and Answering Tasks
g) Machine learning model deployment

• Training will be provided.

Job Requirements

• Good command of programming in any programming languages.
• Degree in EE, CS or related areas, preferably with good knowledge in speech recognition, natural language processing
• Good understanding and application experience of machine learning algorithms
• Familiar with speech decoding algorithms under the end-to-end framework will be advantageous.
• Familiar with one or more of the open-source tools such as Kaldi, Tensorflow, Pytorch will be advantageous.
• Experience in image processing, opencv, multimodel large language models, image to text models, speech processing and natural language processing or other related algorithms will be advantageous.

Key Competencies

• Good communication skills, a team player.
• Good programming knowledge.
• Passion to work and learn independently.
• Ability to think what is best for the project, and to act upon it.
• Possess strong analytical and critical thinking skills.
• Show strong initiative and take ownership of work.

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 looking to recruit a highly motivated Research Assistant who will be part of a multidisciplinary research team to investigate digital wellness, particularly video gaming overuse among Singaporeans. We seek a highly organized individual with good attention to detail and a strong interest in video gaming research.

Key Responsibilities

• Project Management:

1. Participate in and manage the research project with the Principal Investigator (PI), Co-PIs and students to ensure all project deliverables are met.
2. Assist in coordinating and managing day-to-day research activities including scheduling, participant recruitment, data collection, and maintaining project timelines.
3. Ensure that research activities comply with the ethical guidelines and Institutional Review Board requirements.
4. Collaborate with undergraduate students who are working on their honours thesis as part of this project.

• Data Management and Analysis:

1. Ensure accuracy and efficient data entry, coding, and organization of databases.
2. Quantitative statistical data analysis using STATA, Python or R with survey and clinical data (including descriptive statistics, inferential statistics and regression models).
3. Comply with IRB and ethical guidelines in data management.

• Work with PI and Co-Is in qualitative data analysis
• Liaise with our community partner
• Coordinate procurement and liaison with vendors/suppliers.

Job Requirements

• Have a bachelor’s degree in psychology, statistics/mathematics, public health, health/medical sciences-related degree, or social science-related degree. Possessing a Master’s or PhD degree will be advantageous.
• Have relevant competence or previous experience in research, writing research papers and quantitative data analysis.
• Proficiency in R, STATA, Python or another statistical analysis software.
• Knowledge of video gaming addictions, behavioural addictions, or digital health will be advantageous.

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 applied research project as a part of Infocomm Technology cluster at SIT. In this role, you will be part of the research team, working to develop and evaluate privacy-preserved Generative AI algorithms for generating synthetic Personal Identity Information (PII). This aims to overcome the issues raised by using real-world PII data.

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.
• Design a Natural Language Processing algorithm for identifying Personal Identity Information data.
• Design and evaluate a privacy preserved Generative AI based algorithm for generating synthetic data.
• Validate integrated system functionality and performance.
• Help produce progress reports and technical papers on research work.
• Ensure compliance with Work, Safety and Health Regulations.
• Assist in project resources requirement and managing student projects.

Job Requirements:

• Have a Masters or PhD Degree in Computer Engineering/Computer Science/Electrical Engineering or equivalent.
• Have relevant research/industry experience in Machine Learning, AI and Privacy.

• An excellent team player who can cope with an agile and fast-paced environment.

• Good communication and interpersonal skills.

• Possess relevant hands-on experience in Python, Java, C++ etc. and corresponding development environments.

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 future-ready display technologies and demo applications for virtual reality, augmented reality and mixed reality.

Key Responsibilities

• Participate in 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. Conduct in-depth AI research towards proof-of-concept (POC) prototypes for future-ready display technologies for VR/AR/MR
2. Develop demonstration applications for the POC prototype

• 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

• A PhD degree in computer or related programmes and have relevant competence in the areas of VR/AR/MR and AI.
• 3 or more years of research experience in VR/AR/MR/AI.
• Hands-on experience of developing POC systems to demonstrate research results.
• Knowledge and experience in optics will be advantageous.
• 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
• Show strong initiative and take ownership of work.
• Teamwork spirit

The Centre for Digital Enablement (CoDE) drives initiatives within SIT. It works with various stakeholders, both internal and external, in upskilling digital literacy across the organization through literacy programmes and digital innovation projects in relation to the Digital Learning Spaces (DLS).

The Assistant Manager will be part of the curriculum team responsible for the development and delivery of digital literacy programmes to students and academic staff as part of the institutional drive towards digitalization. He/ She may also participate in and manage student projects which includes mentoring and facilitating student learning during the project.

Key Responsibilities

E‐Learning Development

• Design and develop e‐learning content aimed at effective knowledge transfer and retention.
• Manage project requirements, stakeholders, and supervise student developers and/or manage vendors to ensure the timely delivery of content and resources.
• Administer the e‐learning assets and assist on the setting up of course sites in the Learning Management System (LMS).

Collateral Design & Publicity

• Design and create collaterals or materials for CoDE’s programmes and initiatives.
• Design and create compelling publicity materials, including eDMs, to promote CoDE’s events and initiatives.
• Design and create CoDE’s newsletter and administer CoDE’s SharePoint site to keep stakeholders informed and engaged.

Events Coordination

• Plan and manage various events hosted by CoDE, such as talks, workshops, and hackathons.
• Coordinate logistics, including venue booking, speaker arrangements, attendee registration, post‐event reporting, etc.

Job Requirements

• A diploma or degree in learning/instructional design, multimedia design, educational technology, or a related field.
• Preferably 2 or more years of relevant working experience in learning/instructional design, multimedia design in an education setting, or similar.
• Proven experience in designing and developing e‐learning content, preferably in a corporate training or educational setting, and managing e‐learning projects from conception to completion, including stakeholder engagement and project coordination.
• Proficient in e‐learning authoring software, such as Articulate Storyline360, iSpring, or similar.
• Proficient in multimedia production software such as Adobe Creative Suite (e.g., Photoshop, Illustrator, Premiere Pro) for creating engaging visual and interactive content.
• Familiar with learning management systems (LMS) and experience administering elearning assets on such platforms. Familiarity with Brightspace (D2L) Learning Management system will be an added advantage.
• Good interpersonal skills and ability to work independently, as well as within a team.
• Ability to manage multiple projects and meet deadlines, while maintaining quality standards.
• Inquisitive, organised, and meticulous, with the ability to navigate quickly through an evolving environment.

The successful candidate will be offered an 11-months contract.

Officer/Senior Officer – Admissions and Continuing Education

Reporting to the Deputy Director of Admissions and Continuing Education, the individual in this role will be responsible for working with the Deputy Director to devise innovative marketing strategies, conducting thorough research, and collaborating with the team to execute the Pre Employment Training (PET) and Continuing Education and Training (CET) business plan. He/she must ensure the marketing efforts comply with the standards set by the Committee for Private Education (CPE) and work towards augmenting the number of applications.

Key responsibilities encompass:

• Providing detailed information to the public, including prospective applicants, parents, teachers, and companies, addressing program-related inquiries.
• Maintaining robust relationships with prospective students/adult learners, parents, teachers, and industry contacts is essential.
• Representing the institution at PET and CET-related events, organizing on-campus events, and attending fairs.
• Liaising with the Marketing Communications department on all communication materials and creatives.
• Overseeing the administration and utilization of the Training Partners Gateway portal, ensuring precise and up-to-date course listings and information.
• Stay informed about policy changes, new initiatives, and funding opportunities with SkillsFuture Singapore (SSG) are integral facets of this role.
• Prompt response to inquiries from prospective students and adult learners
• Monitoring and reporting application numbers for Admissions and Continuing Education.
• Auditing application files, creating individual student/adult learner folders, and processing admissions for incoming students/adult learners, ensuring compliance with institutional policies and data protection regulations.
• Any other duties assigned

Requirements:

• A degree in a relevant field from an accredited university.
• A minimum of 2 years of relevant working experience in admissions, continuing education for adult learning, or a related field is preferred.
• Effective organizational and project management skills would be essential to handle multiple tasks and deadlines.
• Familiarity with higher education policies, accreditation requirements, SkillsFuture initiatives and Training Partners Gateway portal.
• Strong time management abilities and must be attentive to detail
• Proficiency with Microsoft Office is a must.
• Excellent written and spoken communication skills to communicate effectively with various stakeholders.

Interested applicants can send an email to singapore-jobs@digipen.edu with the subject line “Officer/Senior Officer – Admissions and Continuing Education".

The Singapore Institute of Technology (SIT) is a prominent public university in Singapore, renowned for its applied learning approach and strong industry partnerships. Established in 2009, SIT aims to provide a distinctive education by integrating academic knowledge with real-world skills. This model helps produce graduates who are highly employable and equipped to meet the evolving demands of the industry.

Adopting a user-centric model, Design Factory@SIT (DF@SIT)seeks to support industry partners through collaborative innovation projects, thereby creating authentic interdisciplinary and collaborative learning opportunities for students and enhance the workplace learning continuum.

As a member of the Design Factory Global Network, DF@SIT will collaborate with a network of innovation hubs in universities and research organizations across five continents in the world, across cultures, time zones and organizational boundaries to foster radical innovations. DF@SIT seeks to help students, academic staff and companies employ design-led innovation tools to pilot ideas and build roadmaps for the changing marketplace.

The Design Researcher and Lab Manager will be responsible for conducting user-centered research, managing lab operations, establishing, and managing internal and external partners and stakeholders, social media creation and maintenance, and ensuring that the lab and team functions efficiently. This dual role involves a blend of hands-on research, project management, and operational duties to support our design and innovation initiatives.

Key Responsibilities

Design Research

• Conduct qualitative and quantitative research to gather insights into user behaviors, needs, and motivations.
• Plan, execute, and analyze various research methodologies including user interviews, usability testing, surveys, and field studies.
• Collaborate with cross-functional teams to integrate research findings into the design and development process.
• Synthesize complex data into clear and actionable insights, reports, and presentations.
• Advocate for the user perspective and ensure that user experience is a key consideration in all product and service development.

Centre Management

• Oversee the day-to-day operations of the design research lab, ensuring it is equipped, organized, and functioning efficiently.
• Ensure all research tools and equipment are up-to-date, properly maintained, and calibrated.
• Coordinate with IT and facilities teams to troubleshoot and resolve any technical or operational issues.
• Manage the lab budget, including procurement of supplies and equipment, and track expenses.

Project Management

• Lead and coordinate research projects from initial briefing to final delivery, ensuring timely and successful completion.
• Collaborate with stakeholders to define research goals, timelines, and deliverables.
• Manage relationships with external research partners and vendors as needed.
• Provide mentorship and guidance to junior researchers and lab staff.

Social Media Management

• Develop and execute a comprehensive social media strategy aligned with the company's marketing goals and brand identity.
• Create, curate, and manage engaging content across all social media platforms (e.g., Facebook, Instagram, Twitter, LinkedIn, TikTok, etc.).
• Foster and grow online communities by actively engaging with followers, responding to comments and messages, and initiating conversations.
• Prepare regular reports on social media metrics and provide actionable recommendations for improvement.

Qualifications

Education

• Bachelor’s degree in Design, Engineering, Human-Computer Interaction (HCI), Psychology, Anthropology, Sociology, Fine Art, Media & Communications, Business, Marketing, or a related field.

Experience

• 3-5 years of experience in user research, design research, or a related field.
• Proven experience in managing a creative office or similar environment.
• Strong background in both qualitative and quantitative research methodologies.

Skills

• Excellent analytical skills with the ability to translate data into meaningful insights.
• Strong organizational and project management skills.
• Exceptional communication and presentation skills.
• Ability to work collaboratively in a multidisciplinary team environment.

Attributes

• Detail-oriented with a high level of accuracy in work.
• Innovative thinker with a passion for understanding human behavior.
• Self-motivated and capable of managing multiple projects simultaneously.
• Strong advocate for user-centered design and research-driven decision making.

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 a first-of-its kind AI-assisted integrated NDT verification system for reusability of structural steel with accuracy of ±10% at confidence level of 95%. The key innovation is to use AI to analyse a bigger data set and build a multi-parameter machine learning (ML) model that integrate the complex mechanical properties obtained from DT and the electric/magnetic permeability data obtained from NDT to predict the critical material characteristics of reusable steels.

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. Establishing test result database: Conducting both DTs and NDTs on the same samples to create a comprehensive dataset for AI model development, managing data collection processes on-site at the collaborator’s factory, and ensuring the accuracy and integrity of the collected data.
  2. Developing statistical model: Utilizing DT results to develop statistical models for estimating mechanical characteristics based on normal distribution and analyzing statistical data to support model development.
  3. Developing and verifying the AI model: Developing various regression models and evaluate their feasibility and suitability, conducting model fitting and verification phases using training and test datasets and ensuring the selected model meets the accuracy criteria (±10% at 95% confidence) for individual mechanical characteristics and overall classification results (grade determination).
  4. Validation of the method: Implementing the proposed method and AI model in test bedding cases, measuring the impact of the method in terms of time and cost savings and developing implementation guidelines based on validation results.
• 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.
• Publish research findings in peer-reviewed journals and present at conferences.
• Assist in the preparation of project reports, proposals, and documentation.

Requirements

• Have relevant competence in the areas of structural engineering, material science, statistics and programming basics.
• Have a degree in Civil Engineering, Mechanical Engineering or Material Science. Possessing a Master’s or PhD degree will be advantageous.
• Knowledge of AI / ML and common ML programming languages will be 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 and take ownership of work
• Able to carry out data preprocessing, develop statistical and regression models.
• Possess knowledge of the mechanical properties of structural steel and factors affecting its performance
• Able to prioritize tasks, meet deadlines, and manage multiple responsibilities.

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 a mobile app for visualising geospatial data.

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. Implement code for improved cartographic algorithms and thematic map designs.
  2. Design human-subject experiments that test how the implemented map designs are used on electronic devices.
  3. Obtain approval for conducting experiments from the Institutional Review Board.
  4. Perform statistical analysis and report the results in the format of journal articles and conference contributions.
• 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 mobile app development.
• Have programming experience in Python and JavaScript.
• Have a Ph.D. degree in computer science, statistics, geography or a closely related field from a regionally or internationally accredited institutions.
• Knowledge of experimental design and computational geometry will be advantageous.
• Knowledge of C++ and R is desirable.