About EDDC:

EDDC is a National platform dedicated to developing innovative therapies that transform patients' lives. Our research and development efforts are focused on uncovering the underlying mechanisms of disease and translating this knowledge into impactful treatments. We work collaboratively with public sector and industry partners to translate scientific discoveries arising from Singapore"s biomedical and clinical sciences R&D into innovative healthcare solutions, with a focus on Asian-prevalent diseases.

Position Summary:

We are looking for an experienced research scientist in biologics drug discovery to lead biologics projects and platform. The successful candidate will lead the planning and execution of drug discovery projects, coordinating among different scientific disciplines to implement strategic initiatives, monitor the progress of discovery projects and address any development bottleneck. The role also involves facilitating interactions with internal teams, external partners, and key stakeholders.

Project leadership:

• Lead 1-2 biologics project/platform, including scouting, nominating and driving the projects to meet key milestones
• Collaborate cross-functionally to align project resources and execution, proactive in proposing innovative solutions in the development of biologics therapeutics.
• Plan and execute complex research experiments on a need basis.
• Apply biologics technologies to enhance project innovation and efficiency.
• Partner with external academic and industry collaborations to advance new partnership opportunity.

Function innovation and continuous improvement:

• Active contribution to the function group by offering technical expertise in biologics drug discovery and development.
• Identify and evaluate new process improvement, technologies and approaches and effectively apply to project.

Job Requirements:

• PhD in in pharmaceutical sciences and related biomedical disciplines.
• A minimum of 5 years relevant postdoctoral or pharmaceutical industry experience with a strong focus on biologics drug discovery.
• Demonstrated ability to manage multiple parallel projects.
• Demonstrated capacity to conceptualise, strategise and execute research plans.
• Strong written and verbal communication skills, with an ability to interpret and explain complex data.
• Self-motivated, fast learner with strong organization skills.
• Good interpersonal skills, team-orientated with strong collaborative spirit in building relationships internally and externally.

The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. 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

AI Singapore (AISG) is a national AI programme launched by the National Research Foundation (NRF) to anchor deep national capabilities in Artificial Intelligence (AI).

The programme office is hosted by the National University of Singapore (NUS) and brings together all Singapore-based research institutions and the vibrant ecosystem of AI start-ups and companies developing AI products to perform use-inspired research, grow the knowledge, create the tools, and develop the talent to power Singapore's AI efforts.

AI Singapore (AISG) seeking a highly organized and detail-oriented individual to join our team as a Research Fellow. The Research Fellow will collaborate with researchers, faculty, and external stakeholders to facilitate the research, evaluation and deployment processes involved in research projects.

Duties & Responsibilities

In this role, you will:

• Participate in the full research projects to deployment pipeline and help conceptualize, develop research or evaluation experiments, and then implement the systems to execute these experiments.
• Conduct data annotation, collection, and analysis for research projects.
• Conduct landscape and literature reviews to understand the potential solutions and the state-of-the-art models.
• Manage research projects with minimal supervision, develop new research methodologies and contribute to innovative approaches, design and execute experiments or studies to advance knowledge in a specific field.
• Work closely with Principal Investigators and researchers for benchmarking various baseline models.
• Contribute to disseminate research outcomes through presentations, demonstrations and top conference papers.

Qualifications

• A PhD degree in Computer Science/Computer Engineering, or related disciplines
• Possess strong background in Computer Vision (CV) and Artificial Intelligence (AI); Research background in Large Multimodal Models (LMMs) / LLM security is a plus
• Excellent knowledge in deep learning frameworks, e.g., PyTorch, Tensorflow
• Strong first-author publication records in top-tier AI conferences; Prior publications in major computer vision (CVPR/ICCV/ECCV) or machine learning (NeurIPS, ICML/ICLR) conferences is a plus
• Good communications skills in both written and verbal English
• An adventurous spirit and willingness to learn and experiment with new ideas and new domains
• Demonstrated ability to work independently as well as collaboratively in a team environment.

UWCSEA Dover has a vacancy for August 2025 for a Teacher of High School and Middle School Design Technology.

The successful candidate must be experienced and passionate about teaching Design and Technology. The role will include teaching both High School and Middle School aged students in curriculum areas such as Product Design, Food Technology, Electronics and Digital Design. At UWCSEA we offer our own bespoke Design Technology and Food Technology courses in Middle School and in Grades 9 and 10. We offer the IB Diploma, Design Technology courses at Higher and Standard Level, in Grades 11 and 12.

The Design Technology Department is composed of a team of enthusiastic and dynamic teachers who work in a very well ­resourced environment for learning. Teaching takes place in dedicated and well resourced Design Technology classrooms and is supported by skilled technicians.

Main Responsibilities

• Teachers should be willing to contribute positively to the collaborative culture of the Design Technology department and broader Middle and High School teams.
• Teachers should construct learning experiences that challenge and inspire students, support the diversity of learners in each classroom and demonstrate a strong commitment to concept-based teaching and learning.
• Teachers should ensure assessments support ongoing learning and provide timely, relevant, and appropriate feedback to students on formative and summative assessments.
• Teachers should demonstrate effective classroom management that shows an understanding of the academic, social, and emotional dimensions of learning.
• Teachers should keep parents informed about the learning of their children, and be proactive in communication with parents.

Expectations and Standards

• Follow the UWCSEA Professional Code of Conduct and Safeguarding Code of Conduct.
• Teach in line with the UWCSEA Teacher Standards

Person Specifications

• A good degree in Design and Technology or a closely related discipline and a recognized teaching qualification or certification are expected.
• Previous experience of teaching Design and Technology in the 11-18 age range is required.
• Teachers should be willing and eager to participate in the five key elements of a UWCSEA education: Academics; Activities; Outdoor Education; Personal and Social Education, and Service.
• Academic expectations include enthusiastic participation in Professional Learning.
• Pastoral expectations include the leadership of a Mentor group.
• On average the College expects a yearly contribution of two sessions per week in each season to Activities and/or Service.
• The College expects that teachers will participate enthusiastically in the curricular Outdoor Education experiences which are relevant to their students and will also occasionally volunteer for holiday Outdoor Education trips.
• A commitment to diversity and inclusion is essential alongside a willingness to adapt and develop pedagogy to meet the needs of our learners.

Applications

The UWC Mission is to make education a force to unite people, nations and culture for peace and a sustainable future. We are committed to creating a community in which all members feel safe and secure, and know that their authentic selves and individual differences are accepted with respect and care. At UWCSEA, we acknowledge that diversity, equity, inclusion and justice (DEIJ) is an ongoing and evolving process and strive to create and sustain a sense of belonging for all members of our community, past, present and future. All qualified applicants, including those who identify as a part of marginalized group(s) and individuals with (dis)abilities are all encouraged to apply. Our school is committed to safeguarding and promoting the welfare of all the students in our care and expects all applicants to share this commitment. We follow safe recruitment practices and all appointments are subject to interview, satisfactory references, identity and criminal record checks.

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 optimize the spray drying processes for collagen and gelatine powder production, ensuring high-quality and consistent output.

Key Responsibilities

• Manage research project with Principal Investigator (PI), Co-PI and team members to ensure all project deliverables are met
• Participate in brainstorming and ideation, conduct research and experiments, create functional models, and maintain documentation of design development
• Develop system from embodiment of concept to detailed design of parts and assemblies, including selection of standard components, through application studies, analyses and calculations
• Organise procurement of required electrical and mechanical components as well as commercial devices
• Guide students to carry out assembly of submodules, integration of system and testing of machines
• Coordinate maintenance of associated equipment with POD technical officers when required
• Perform risk assessment, and ensure compliance with workplace safety and health regulations

Job Requirements

• Bachelor's degree or higher in mechanical engineering, or related field.
• Professional-level competency in mechanical system and part design
• Strong prototyping skills
• Proficiency in CAD software, such as SolidWorks or Creo Parametric
• Mechanical engineering degree
• Minimum design experience of 5 years

Key Competencies

• Show strong initiative and take ownership of work.
• Demonstrates expertise in experimental design and execution, with good analytical thinking and problem-solving skills.
• Able to build and maintain strong working relationships with people within and external to the university.
• Good communication and interpersonal skills.

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

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.

Project Overview

We are hiring research engineers interested in advancing the state of the art in data-efficient machine learning at SMART in the new program: Mens, Manus and Machina: How AI empowers people and the city in Singapore (M3S).

With the recent emergence of large language models (LLMs), the research engineers will assist in investigating how data-efficient and resource-efficient techniques, such as data attribution, data selection/reweighting, data valuation, data curation, Bayesian optimization, active learning, can be applied in the context of LLMs (as well as important issues involving AI privacy, model auditability and updatability).

Responsibilities

• Research on topics related to data-efficient machine learning, such as data attribution, data selection/reweighting, data valuation, data curation, Bayesian optimization, and active learning, in the context of LLMs.
• Investigate how these concepts as well as important issues involving AI privacy, model audibility, and updatability can be applied in the context of LLMs.
• Develop, implement, and evaluate experiments to characterise the feasibility and performance of the proposed research ideas.
• Collaborate with other PhD and undergraduate students to publish research results in top-tier conferences and journals, with focus on venues associated with the above-mentioned areas .

The research engineer will be jointly advised by Prof. Daniela Rus (MIT CSAIL), Prof. Alex 'Sandy' Pentland (MIT Media Lab), and Assoc. Prof. Bryan Low (NUS School of Computing), and based at SMART (Singapore-MIT Alliance for Research & Technology) in Singapore. The research engineer will have the opportunity to collaborate with PhD and undergraduate students, as well as Postdoctoral Fellows, within our research groups.

For more information on our research group and interests, visit

https://danielarus.csail.mit.edu/

https://www.media.mit.edu/people/sandy/overview/

https://www.comp.nus.edu.sg/~lowkh/research.html

Requirements

• Degree or Masters Degree in Computer Science, Machine Learning, Artificial Intelligence, or other related disciplines.
• Strong publication record at premier AI/ML venues such as ICML, ICLR, NeurIPS, CVPR, ACL, EMNLP or similar.
• Strong proficiency in programming.
• Strong proficiency in English and communication skills.
• Experience with machine learning and deep learning frameworks such as Pytorch, Tensorflow, among others.

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.

Job Description

1. Perform research in the following areas:

a. Global performance analysis, and/or

b. Global structural response analysis

2. Assist in conducting physical model tests, field experiments and numerical simulations to support the development of integrated physical-numerical modelling and simulations.

3. Collaborate with industry partners, affiliated research institutes and other relevant stakeholders to contribute to grant proposals for research funding consistent with the strategic goals of TCOMS.

4. Any other duties as assigned by supervisor.

Job Requirements

· Bachelor's/Master's Degree in Civil Engineering, Mechanical Engineering, Marine Engineering, Naval Architecture, Applied Mathematics or other related disciplines.

· Preferably having relevant research/industry experience with competent knowledge in some of the following areas: Offshore engineering, marine engineering, hydrodynamics, naval architecture and ocean engineering.

· At least 5 years of experience

· Prior knowledge in the following numerical methods/software/programming languages will be an advantage:

o CAD software such as SolidWorks, Rhino, AutoCAD

o Engineering tools such as WAMIT, SESAM and OrcaFlex

o Finite Element analysis tools such as SESAM, ABAQUS, Ansys

o Programming codes such as FORTRAN, Python, MATLAB, C++ or equivalent.

· Good interpersonal and communications skills.

· Ability to adapt and work effectively as members of a team.

· Good command of written and spoken language.

· Resourceful and self-driven with a high degree of professional integrity.

The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. 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.

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.

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: [email protected]

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

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

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

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.

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)

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.

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.

Job Description

1. Perform research in the following areas:

a. Global performance analysis, and/or

b. Global structural response analysis

2. Assist in conducting physical model tests, field experiments and numerical simulations to support the development of integrated physical-numerical modelling and simulations.

3. Collaborate with industry partners, affiliated research institutes and other relevant stakeholders to contribute to grant proposals for research funding consistent with the strategic goals of TCOMS.

4. Any other duties as assigned by supervisor.

Job Requirements

· Bachelor's/Master's Degree in Civil Engineering, Mechanical Engineering, Marine Engineering, Naval Architecture, Applied Mathematics or other related disciplines.

· Preferably having relevant research/industry experience with competent knowledge in some of the following areas: Offshore engineering, marine engineering, hydrodynamics, naval architecture and ocean engineering.

· Prior knowledge in the following numerical methods/software/programming languages will be an advantage:

o CAD software such as SolidWorks, Rhino, AutoCAD

o Engineering tools such as WAMIT, SESAM and OrcaFlex

o Finite Element analysis tools such as SESAM, ABAQUS, Ansys

o Programming codes such as FORTRAN, Python, MATLAB, C++ or equivalent.

· Good interpersonal and communications skills.

· Ability to adapt and work effectively as members of a team.

· Good command of written and spoken language.

· Resourceful and self-driven with a high degree of professional integrity.

The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. 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.

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 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.