Total 451 Science / R&D / Research job vacancies

The School of Mechanical & Aerospace Engineering conducts research to enhance knowledge and drive innovation in urban mobility and to pave the way for Singapore's future land transport system. We are seeking to hire a Research Assistant / Associate to help in investigating the relationship between autonomous vehicles and path users on public paths. The role focuses on the design, development, and operation of experimental test rigs, including laboratory setups and field experiments.

Key Responsibilities:

• Experiment setup and testing

• Component assembly

• Sensors and hardware integration

• Data acquisition and analysis

Job Requirements:

• Education qualifications: B.Eng or M.Eng in Mechanical Engineering, Mechatronics, or related field.

• Good verbal and written communication skills, ability to work independently and in a team

• Proficient in mechanical experiment setup and testing, mechatronic systems integration involving sensors/actuators. Working knowledge of data acquisition and analysis, microcontrollers, and CAD tools is desirable.  

• Prior industrial or research experience in building experimental test rigs and mechatronics systems.

• Strong problem-solving ability, attention to details, and commitment to delivering high-quality research outputs.

We regret to inform that only shortlisted candidates will be notified.

Who We Are:

Hewlett Packard Enterprise is the global edge-to-cloud company advancing the way people live and work. We help companies connect, protect, analyze, and act on their data and applications wherever they live, from edge to cloud, so they can turn insights into outcomes at the speed required to thrive in today’s complex world. Our culture thrives on finding new and better ways to accelerate what’s next. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good. If you are looking to stretch and grow your career our culture will embrace you. Open up opportunities with HPE.

Job Description:

Hewlett Packard Enterprise is an industry leading Technology Company that enables customers to go further, faster. With the industry’s most comprehensive portfolio, spanning the cloud to the data center to workplace applications, our technology and services help customers around the world make IT more efficient, more productive and more secure.

HPE Aruba offers a comprehensive open and standards-based portfolio designed to address a broad range of customer segments, from small & medium businesses to the largest enterprises with advanced requirements for leading branch, campus LAN and data center solutions. HPE’s innovative technology and open, standards-based approach to networking is resonating with customers around the world. 

HPE Aruba is looking for an individual who is creative and self-motivated to fill the post of R&D Hardware Verification Engineer, holding responsibilities for the test and development of network connectivity devices used in our state-of-the-art network switches.

Responsibilities

• Validate next generation high-speed ethernet switching systems.
• Ensure performance of ethernet physical layer devices (Optical Transceivers, Direct Attach Cables, Active Optical Cables, etc.) with Aruba switches.
• Develop test methodology and execute verification testing to qualify ethernet physical layer devices with Aruba switches.
• Innovatively solve issues, drive completion of the project to schedule, and collaboratively network with other technical contributors.
• Collaborates and communicates with management and internal partners regarding design status, project progress and issue resolution.

Education and Experience

• Must have a Bachelor’s or Master’s degree in Electrical Engineering or related fields.
• A minimum of three years of professional experience in the environment of system testing is required.
• Proven track record in system test, test infrastructure characterization, automation or relevant engineering experience and background.

Knowledge and Skills

• Experience with design verification and system level stress test of complex electronic systems.
• Possess good knowledge and technical understanding of hardware design.
• Knowledge of high-speed ethernet protocols (e.g. XAUI, XFI, 25GAUI, XLAUI and CAUI-4), encoding (e.g. NRZ and PAM4) and optical/copper transceivers technologies is a plus.
• Strong analytical and problem-solving skills.
• Outstanding interpersonal skills with ability to work in team.
• Excellent written and verbal communication skills; mastery in English and local language.
• Familiar with programming languages such as Python and tools like itest, GitHub and Jenkins are a plus.

Key Responsibilities:

• Manage all aspects of project and program engagement from planning, external vendor relationships, communications, resources, budget, change, risks and issues

• Continually manage stakeholder expectations through governance processes

• Deliver appropriate and effective executive level communication

• Provide status reporting regarding milestones, deliverable, dependencies, communicating across leadership and business stakeholders

• Manage a portfolio of complex initiatives that span one or multiple lines of business

• Own the full project life cycle end to end

• Ensure the program is aligned to and supports strategic objectives

• Prepare detailed project plan for all phases of the project

• Manage the day-to-day project activities, including project management working and steering committees

• Understand interdependencies between technology, operations and business needs

• Monitor, track and control outcomes to resolve issues, conflicts, dependencies and critical path deliverables

• Ensure that projects and programs are proceeding according to scope, schedule, budget and quality standards

Job Requirements

• Project management experience in AML domain (MAS Notice 626, Transaction Monitoring, Name Screening, CDD etc.)

• Exposure to vendor software (Actimize, Net Reveal, Detica, MANTAS etc.)

• 10 or more years of banking experience

• PMI-PMP/Prince2 Certification

Delivery experience on medium to large scale projects.

Job Objectives

To support AML Projects for transaction monitoring across all regions.

Delivery experience on medium to large scale projects.

Key Responsibilities

Functional specification

a. Responsible to analyse and define detailed functional specifications based on the functional and non-functional requirements document.

b. Collaborate with Functional Business Analyst to clarify functional and non-functional requirements.

c. Define and ensure traceability from functional specifications to business requirements.

Technical Design

a. Responsible to create technical design.

b. Ensure technical design adheres to architectural roadmap, Development practices, and security requirements.

c. In case of vendor implementation: Ensure vendor resources create technical design document.

d. Collaborate with developers and infrastructure teams to clarify functional specification and technical design during build, test and deployment phase.

e. Collaborate with Production Support to establish IT operations procedures and document as part of Tech Design.

f. Coordinate execution of threat modeling process with assistance of Security Architect to ensure implementation of safeguards is comprehensive in accordance with threats.

Testing & Scope Management

a. Clarify test findings escalated by Test Manager and classify the findings accordingly (either as a defect or change request).

b. Provide input to impact assessment and estimation for Project Change Request.

c. Work with Test Manager to review test plan and functional test scope.

Key Requirements

Must have :-

• Commitment.

• Minimum 6 years of working experience in application testing, development and delivery.

• Ability to work in a fast-paced, team-oriented environment.

• A strong & assertive communicator in speaking & writing. Analytical mindset and good problem solving skills.

• Delivery experience on medium to large scale projects.

• Ability to understand and articulate process flows and functions.

• Strong communication and coordination skills across internal and external stakeholders and vendors.

Good to have :-

• Experience in working in vendor environment.

• 1 - 2 years working experience with AML will be nice to have.

• AML/KYC Transaction Monitoring Experience (Actimize, Evidentzy, Net Reveal, Detica)

Essential Technical Skill :-

• Experience with Oracle PL/SQL, Oracle SQL.

• Batch Scripting, Control M, DevOps.

RESPONSIBILITIES

• Help and contribute to the design of overall architecture of the web application.
• Maintain quality and ensure responsiveness of applications.
• Collaborate with the rest of the engineering team to design and launch new features.
• Maintain code integrity and organization.
• Experience working with graphic designers and converting designs to visual elements.
• Understanding and implementation of security and data protection.
• Design and build scalable REST APIs for micro services.
• Proficient experience using front-end frameworks
• Highly experienced in building responsive websites
• Experience with cloud APIs (AWS)
• Knowledge of code versioning tools (GIT)
• Must be able to write unit test for both front-end and backend code
• Must be able to code using good patterns and practices
• Must be able to document code and provide API documentation i.e. swagger

EXPERIENCE
• Minimum 5 years of application development
• At least 3 years of experience being a full stack engineer.
• Minimum 5 years’ experience with a backend framework such as Java (Spring Boot), NodeJs or other similar stacks e.g. dotnet core, Ruby on Rails.
• Experience with web/application servers such as TomCat, JBOSS, Weblogic.
• Commanding grasp of HTML, CSS and JavaScript
• At least 5 years’ experience front end work using Javascript Frameworks; React or Angular is a must have.
• At least 5 years’ experience with using a RDBMS like MySQL, and object caches like Memcached and/or Redis.
• Experience with AWS products such as S3, ECS, ELB, API Gateway
• Experience with MS SQL / Oracle databases

about the company

Randstad is partnering with a leading manufacturing client to hire a Facility Building Manager. In this role, you will be responsible for overseeing the daily operations, maintenance, and overall management of the building. You will ensure optimal operational efficiency, safety, regulatory compliance, and service excellence across all assigned sites.

about the job

• Oversee day-to-day site operations, ensuring the smooth performance of all M&E systems, including HVAC, electrical, plumbing, and lifts.
• Plan and implement both preventive and corrective maintenance schedules to ensure equipment reliability and longevity.
• Lead EHS initiatives, ensuring strict adherence to workplace safety regulations through routine inspections, risk assessments, and policy enforcement.
• Maintain and optimize essential manufacturing utilities (e.g., chilling systems, compressed air) and ensure strict environmental compliance for cleanroom and HVAC systems to prevent production downtime
• Prepare and oversee facility budgets, track key performance metrics, and manage external contractors to ensure quality and compliance.
• Train and guide staff while driving continuous improvement initiatives for facility reliability, environmental sustainability, and workplace safety.

skills and experience required

• Degree/ Diploma in Facilities Management / Engineering / Real Estate, or a related discipline.
• Min 8 years of relevant facilities experience in a manufacturing environment (ideally from cleanroom ISO 7/8)
• Preferably individuals with lean six sigma / PMP / Fire Manager certificatio
• Strong knowledge of facility operations, maintenance planning, and workplace safety regulations
• Able to commence immediate or short notice will be a plus
• The plant is running on 12 hour shift pattern , prepared to be call back when there is a need due to operation needs.

We encourage interested applicants to submit their CV to yitwei.kwan(@)randstad.com.sg

To ensure your application is fully considered, kindly include the following details:

• Your current availability
• Your salary expectation
• Your reason for separation from your current job

Please note that only candidates who are shortlisted will be contacted.

EA: 94C3609 / Reg: R1325913

We are seeking passionate and dedicated Part-time Mathematics Teachers who have a genuine interest in inspiring students, nurturing their understanding of the subject and passionate in teaching.

Here are the various Mathematics classes that Spring College International offers:

- AEIS Primary Level

- AEIS Secondary Level

- 'O' Level Mathematics / 'A' Level Mathematics

- Mathematics Tuition

Academic Qualifications:

• Possess an undergraduate degree in teaching or in a relevant discipline

Skills Required:

• Oversee and manage curriculum planning for the course being taught
• Ability to prepare course materials, lesson plan and exam papers
• Possess teaching experience to international students
• Committed to deliver and complete all lessons for the teaching assignment
• Maintain a safe, inclusive, and productive classroom environment.

Job Description: Data Engineer

As a Data Engineer at D-SIMLAB Technologies, you will play a key role in deriving insights from large datasets to optimize semiconductor manufacturing processes. This role focuses on data extraction, analysis, and actionable insights, while collaborating with cross-functional teams to develop and deploy D-SIMLAB’s software products as well as provide professional consultation services to our clients. The ideal candidate is someone who excels in data-driven analysis and is eager to work on high-impact projects in the semiconductor industry.

Key Responsibilities:

• Data Extraction and Analysis:
  Collect, clean, and analyze large datasets from semiconductor manufacturing environments to ensure data consistency, completeness, and correctness.
  Use statistical methods and data mining techniques to identify patterns, trends, and anomalies that impact production performance.
• Performance Evaluation:
  Analyze the gap between planned and actual production outcomes. Identify root causes for performance deviations and recommend data-driven strategies for process improvement. Develop reports and visualizations to present findings to clients and internal stakeholders.
• Data-Driven Insights:
  Provide actionable insights based on data analysis to optimize semiconductor manufacturing processes. Work closely with clients to understand their specific needs and translate data findings into operational and strategic improvements.
• ETL and Data Modeling:
  Build and maintain ETL processes to integrate data from various sources into D-SIMLAB’s data models. Collaborate with simulation modeling teams to ensure accurate and reliable data is fed into models.
• Consultation Services:
  Act as a trusted advisor to clients by offering data-driven recommendations for enhancing their production efficiency. Present analyses and proposals to both technical and non-technical stakeholders, ensuring clarity and actionable takeaways.
• Data Visualization and Reporting:
  Create dashboards and reports using advanced data visualization tools to communicate key insights and trends effectively. Continuously improve reporting mechanisms to provide real-time insights and support ongoing optimization efforts.
• Collaboration with Teams:
  Work with Software Engineers, Data Scientists, and other cross-functional teams to ensure that data insights align with product goals and customer needs. Contribute to product enhancement initiatives, focusing on the improvement of data-related components and analytics.

Candidate Requirements:

• Education:
  Bachelor’s/Master’s degree in Data Science, Industrial Engineering, or a related field.
• Experience:
  Strong analytical skills with a minimum of 3 years of experience in data analysis, preferably in an industrial environment. Semiconductor experience is a plus.
• Technical Skills:
  Proficiency in SQL and Microsoft Excel.
  Experience with data visualization tools (e.g., Power BI, Tableau) is highly desirable.
  Experience with ETL processes and database management.
• Analytical Abilities:
  Strong problem-solving skills and the ability to handle large datasets and deliver actionable insights to improve operational performance.
• Soft Skills:
  Ability to work collaboratively in a multicultural, multidisciplinary team.
  Excellent communication and presentation skills, with the ability to convey complex data insights to non-technical stakeholders.
• Willingness to Travel:
  Willing to travel for international projects and collaborate closely with clients and internal teams.

Please ensure your profile on the portal is updated with your job experience and education as these fields are being used for the purpose of filtering and shortlisting.

COMPANY DESCRIPTION

Singapore Management University is a place where high-level professionalism blends together with a healthy informality. The 'family-like' atmosphere among the SMU community fosters a culture where employees work, plan, organise and play together - building a strong collegiality and morale within the university.

Our commitment to attract and retain talent is ongoing. We offer attractive benefits and welfare, competitive compensation packages, and generous professional development opportunities - all to meet the work-life needs of our staff. No wonder, then, that SMU continues to be given numerous awards and recognition for its human resource excellence.

RESPONSIBILITIES

• This position is for School of Computing and Information Systems (SCIS).
• Conduct high-quality research on video deepfake detection.
• Generating/Collecting video deepfake data.
• Implementing deep learning related programs.
• Other duties as assigned.

• Minimum PhD degree in Computer Science, Information Technology, Information Systems or closely related disciplines with particular focus on video deepfake detection or video analysis.
• Minimum 2 years of relevant research experience in video analysis.
• Proficiency in programming software/languages such as Python and C++ will be positively considered/ is required.
• Proven track record and professional experience in computer vision.
• Demonstrated experience and know-how on video analysis.
• Excellent working knowledge of video analysis.
• Ability to break down complex problems and design effective solutions.
• Innovating new approaches and thinking outside the box.
• Applicants with strong research publications in deepfake detection area will be advantageous.
• Ability to work cooperatively as part of a small, agile academic research team is essential.
• Self-motivated individual who can work independently and collaboratively with team members.

#LI-JN2

Interested applicants are invited to apply directly at the NUS Career Portal. Please note your application will only be processed if you apply via NUS Career Portal.

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Associate-%28Data-Engineering%29/33302-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

We are seeking a skilled and motivated Research Associate to join our environmental informatics team. In this role, the candidate will build and maintain the data infrastructure that underpins our environmental monitoring and early-warning systems. The work will involve diverse, high-volume data streams — including rainfall records, temperature sensors, radar imagery, and computer vision outputs — to deliver a unified, query table, and secure data platform that drives research, operational decision-making, and stakeholder dashboards. 

Key Responsibilities
1.  Environmental Data Platform
•    Design, build, and maintain a unified database to ingest and store diverse environmental data streams: rain gauge records, gridded temperature data, rainfall radar (e.g. OPERA, NEXRAD), satellite imagery, and computer vision model outputs.
•    Define and enforce common data schemas and ontologies across heterogeneous source formats (NetCDF, HDF5, GeoTIFF, CSV, JSON, REST/API feeds).
•    Implement scalable ingestion pipelines supporting real-time streaming and batch historical loads.
•    Ensure data traceability with robust metadata, provenance tracking, and versioning.

2.  Data Processing & Quality Assurance
•    Develop and maintain automated pipelines for data cleaning, outlier detection, and quality flagging.
•    Implement missing-data imputation methods appropriate to environmental time-series and spatial fields (e.g. interpolation, climatological fill, ML-based gap-filling).
•    Apply noise-removal algorithms (e.g. signal filtering, radar clutter suppression, spike detection) across sensor and remote-sensing data types.
•    Document processing logic and maintain reproducible workflow configurations. 

3.  Visualisation & Dashboards
•    Design and develop interactive dashboards for operational and research users, displaying spatial maps, time-series plots, and aggregated statistics.
•    Integrate visualisation tools (e.g. Grafana, Superset, Plotly Dash, or custom web front-ends) with the data backend.
•    Collaborate with domain scientists to translate monitoring requirements into effective visual analytics.
•    Ensure dashboards remain performant and responsive under live data load. 

4.  Data Security & Governance
•    Implement and maintain role-based access control (RBAC) for all data assets.
•    Enforce data encryption at rest and in transit; manage secrets and credentials securely.
•    Support compliance with relevant data governance policies and institutional data-sharing agreements.
•    Maintain audit trails and access logs; respond to security reviews and risk assessments.

5.  Infrastructure & Operations
•    Manage cloud or on-premise database services (e.g. PostgreSQL/PostGIS, TimescaleDB, InfluxDB, or equivalent); tune for time-series and geospatial query performance.
•    Maintain CI/CD pipelines for data pipeline code; apply version control best practices.
•    Monitor pipeline health, set up alerting for failures, and respond to incidents.
•    Contribute to infrastructure-as-code practices (Docker, Kubernetes, Terraform or equivalent)

Job Requirements

•    Possess at least a Master’s degree in computer science, Data Engineering, Environmental Informatics, or a closely related field.
•    3–6 years of professional experience in data engineering, with demonstrable work on time-series or geospatial data.
•    Proficiency in Python (pandas, NumPy, xarray, or similar) and SQL; experience with at least one workflow orchestration tool (Airflow, Prefect, Luigi, etc.).
•    Hands-on experience with geospatial or scientific data formats: NetCDF, HDF5, GeoTIFF, GeoJSON, or similar.
•    Working knowledge of relational and time-series databases, with practical experience in data modelling.
•    Familiarity with cloud platforms (AWS, GCP, or Azure) and containerisation (Docker).
•    Solid understanding of data security principles: encryption, RBAC, secrets management. 
•    Open to fixed-term contract. 

Experience
•    Experience with environmental, meteorological, or hydrological datasets (radar QPE, NWP outputs, IoT sensor networks).
•    Familiarity with PostGIS or other spatially enabled database extensions.
•    Exposure to machine learning pipelines or MLOps practices for model output ingestion.
•    Experience building dashboards with Grafana, Apache Superset, Plotly Dash, or equivalent.
•    Contributions to open-source scientific data tooling (e.g. xarray, GDAL ecosystem).

Core Competencies
•    Preferably knowledge with Python, SQL, Bash
•    Time-series & geospatial DBs
•    Data pipeline orchestration
•    Cloud & containerisation
•    Dashboard & BI tools
•    Data security & RBAC

School of Electrical and Electronic Engineering (EEE) is one of the founding Schools of the Nanyang Technological University. Built on a culture of excellence, the School is renowned for its high academic standards and research. With over 3,000 undergraduate students and 2,000 graduate students it is one of the largest EEE schools in the world and ranks 4th in the field of Electrical & Electronic Engineering in the 2025 QS World University Rankings by Subjects.

Today, the School has become one of the world’s largest engineering schools that nurtures competent engineers and researchers. Each year, the School graduates over a thousand students who are ready to take on great ambitions and challenges.

For more details, please view: https://www.ntu.edu.sg/eee

EEE / Satellite Research Centre (SaRC):

SaRC is dedicated to performing R&D projects in space science and technology. SaRC has successfully developed, launched, and operated 13 satellites in orbit (2023). The Centre has more than 12 years of accumulated experience and data for satellite design and operation. SaRC has a full-fledged of facilities to realize spacecraft simulation, testing, integration, and operation. The engineering laboratory, clean rooms and mission control room are equipped with specialized equipment such as the thermal vacuum chamber and S/X band 6.1m antenna dish. SaRC is working closely with local SME, regional MNC, universities, and space agencies. The objective is to share and collaborate with international expertise to achieve excellence in space.

Key Job Purpose:

We are looking for a Research Fellow to work on data assimilation system for regional numerical weather prediction (NWP) system. The role will focus on exploring and adding new space-based observations in the next-generation NWP system jointly developed by the Climate and Weather Research Alliance Singapore (CAWRAS). The candidate needs to have a good working knowledge in data assimilation methods such as 3D/$D-var, Ensemble methods and Kalman filters. Familiarity w JEDI-based data assimilation system is a good advantage. Prior knowledge and experience in satellite observation, pre-processing, quality control, error modelling and correction are an advantage. Good programming experience is required (eg: Python, Fortran, C++).

Key Responsibilities:

• Lead EEE/SaRC research on satellite data assimilation & weather prediction

• Assimilate new satellite observations

• Analyze the impact of data assimilation on weather prediction

• Perform data-preprocessing, quality control, error modelling and correction

• Write reports and scientific publications

Job Requirements:

• PhD qualification degree in Atmospheric Science or Engineering or Computer Science or related field

• Familiarity w data assimilation and data processing

• Good written and oral communication skills

• Proficiency in programming and analysis

• Competent in data analysis and quality control

• Ability to work independently and as a lead team member

We regret to inform you that only shortlisted candidates will be notified.

COMPANY DESCRIPTION

Singapore Management University is a place where high-level professionalism blends together with a healthy informality. The 'family-like' atmosphere among the SMU community fosters a culture where employees work, plan, organise and play together - building a strong collegiality and morale within the university.

Our commitment to attract and retain talent is ongoing. We offer attractive benefits and welfare, competitive compensation packages, and generous professional development opportunities - all to meet the work-life needs of our staff. No wonder, then, that SMU continues to be given numerous awards and recognition for its human resource excellence.

RESPONSIBILITIES

• This position is for School of Computing and Information Systems (SCIS).
• Build and maintain end-to-end data pipelines, including data ingestion, cleaning, validation, feature engineering, and dataset versioning.
• Develop and manage research codebases for optimization and machine learning experiments, ensuring reproducibility and scalability.
• Implement optimization algorithms (e.g., LP/MIP, heuristics, decomposition methods, simulation-based approaches) and integrate them with learning components.
• Develop internal tools (e.g., APIs, evaluation frameworks, benchmarking pipelines, dashboards) to support research workflows.
• Support large-scale experimentation, including performance optimization, parallelization, and reproducibility.
• Collaborate closely with researchers to translate conceptual models into robust, reusable implementations
• Other duties as assigned.

• Bachelor's or Master's degree in Computer Science, Software Engineering, Industrial Engineering, Data Science, Operations Research, or a related field.
• Strong programming skills in Python; experience with production-quality code (testing, modular design, version control).
• Experience building data and/or machine learning pipelines (e.g., pandas, SQL, workflow tools).
• Experience implementing algorithms and running large-scale experiments.
• Familiarity with Linux environments, Git, and reproducible workflows (e.g., conda, Docker).
• Proficiency in using AI tools to support development and experimentation.
• Strong problem-solving, communication, and collaboration skills.
• Preference for candidate who is familiar with
  • Optimization tools (e.g., Gurobi, CPLEX, OR-Tools, Pyomo, cvxpy, JuMP)
  • Experience with ML frameworks (e.g., PyTorch, TensorFlow, JAX) and experiment tracking tools (e.g., MLflow, Weights & Biases)
  • Experience with cloud or HPC environments and parallel computing frameworks (e.g., Ray, Dask, MPI)
  • Experience developing internal research tools (e.g., benchmarking systems, evaluation pipelines, dashboards).

#LI-JN2

Job Scope

• Pick and pack medications
• Inventory Management

Requirement :

• Diploma in Science / Pharma
• No experience , Training Provided

All qualified applicants, please click “ APPLY NOW”

Or you may send in your resume to:

Whatsapp: https://wa.me/+6597430026

Email : kimlow@recruitexpress.com.sg

Kimmy Low Yi Ting (Kim) | CEI Registration Number: R23112122

Recruit Express Pte Ltd Company Reg. No. 199601303W | EA LICENCE Number: 99C4599

Interested applicants are invited to apply directly at the NUS Career Portal. Please note your application will only be processed if you apply via NUS Career Portal.

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Fellow-%28Dept-of-Materials-Science-and-Engineering%29-1/30162-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

We are looking for highly talented and motivated candidates to work on developing closed loop robotics hardware and software. Together with a multi-disciplinary team of electronics/electrical engineers, you will be part of an exciting research program to develop next-generation sensor devices and systems for human-machine interactions. 

Qualifications

PhD in Materials Sciences, Robotics, Mechanical Engineering, or related disciplines.

Key responsibilities:

The role of a Technical Delivery Manager (TDM) is to lead, guide and manage the technical aspects of projects through design, build and implementation phases. They are responsible for ensuring the successful delivery of technology projects by collaborating with cross-functional teams, managing project timelines, and overseeing the development process. TDMs play a crucial role in bridging the gap between business requirements and technical solutions, making them instrumental in driving digital transformation initiatives within organizations.

Overall Responsibilities:

• Manage the end-to-end technical delivery of large IT projects, including scope, cost, quality, and time management; stakeholder communications; risk, issue, and dependency management; and project reporting and governance.

• Develop and maintain project plans, status reports, and other project-related documentation to ensure effective communication among stakeholders and project team members.

• Lead and mentor a team of developers, providing guidance and support throughout the project lifecycle.

• Collaborate with cross-functional teams, including business analysts, project managers, and other stakeholders, to ensure alignment and effective communication.

• Identify and mitigate risks and issues related to technical deliverables, proactively resolving any roadblocks to ensure project success.

• Ensure adherence to coding standards, best practices, and security guidelines across all development activities.

• Provide regular updates on project progress, highlighting key milestones, risks, and issues to relevant stakeholders.

• Contribute to the continuous improvement of development processes and methodologies.

• Conduct code reviews and provide constructive feedback to team members to ensure high-quality deliverables.

1. Project Delivery Management

a. Plan technical deliverables (including any system enhancements and upgrades) to meet Project’s requirements within allocated budget

b. Manage and coordinate across different application teams to manage technical dependencies of the solution

c. Monitor and manage risks/issues related to technical delivery

d. Provide status update related to technical delivery

e. Report to Program and/or Project Manager for the strategic program

2. Requirements Management

a. Partner with SA & subject matter experts to understand and implement functional and technical requirements

b. Provide systems input to specification phase (e.g., effort estimates, high-level delivery plan) based on impact assessment (e.g., function points)

3. Design & Development

a. Partner with Domain Architects, Dev. Manager, and Security Architect to ensure solution design complies with enterprise design principles, security and control standards

b. Partner with Development Manager in managing application teams to build the enhancements

4. Test Management

a. Partner with Test Manager to ensure completion of SIT, UAT testing, performance/load testing and application security testing with quality results

b. Work with GIS to facilitate completion of penetration testing and remediation of findings in accordance with Mitigation Plan

c. Work with GIPS on Infra requirements.

5. Implementation Management

a. Prepare technical implementation plan across application teams

b. Coordinate technical implementation activities across application teams to ensure production cutover and adequate post-implementation support

Key Skills:

• Experience with managing end to end implementation of projects.

• Experience with managing and working with external vendors/teams.

• Database (Ability to use and understand for the purpose of analysis and design and investigation)

• Analyse Requirements and form solutions for the application.