Job Description

1. Perform research in the following areas:

• Global performance analysis, including analysis of moored floating platforms and bottom-founded structures in wind, waves and current, to derive rigid body responses and/or
• Global structural dynamic analysis to derive structural responses for strength and fatigue assessment

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

Qualification & Field of Study:

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

Work Experience:

Preferably 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:
• CAD software such as SolidWorks, Rhino, AutoCAD
• Engineering tools such as WAMIT, SESAM, OrcaFlex and OpenFAST
• Finite Element analysis tools such as SESAM, ABAQUS
• Programming codes such as FORTRAN, Python, MATLAB, C++ or equivalent.

Other Requirements:

• Good interpersonal and communications skills.
• Ability to adapt and work effectively as members of a team.
• Strong communication and excellent writing skills
• 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.

Job Summary: We are in search of a highly motivated and accomplished Senior Research Assistant or Research Associate to join our team and contribute to our ongoing research project "Towards Realistic Deep Learning for 3D Vision". The successful candidate will collaborate closely with our research team, working on the development of ground-breaking algorithms and methodologies for 3D deep learning from heterogeneous data sources such as language and 3D data. This role offers an exciting opportunity to engage in cutting-edge research and have a substantial influence on the field.

Responsibilities:

• Undertake research in the field of realistic 3D deep learning, with a primary focus on pioneering algorithms and methodologies with language-guided 3D scene understanding.
• Design and execute experiments to validate the proposed approaches.
• Analyze and interpret data sourced from heterogeneous inputs.
• Stay up-to-date with the latest advancements in language-guided 3D scene understanding and related fields, and integrate new findings into research projects.
• Prepare research papers for publication in prestigious conferences.

Qualifications:

• A Master degree in computer science, Electrical Engineering, or a related discipline, with a specialization on computer vision, image processing, or 3D reconstruction.
• A strong background in computer vision, machine learning, and 3D geometry.
• Proficiency in programming languages such as Python, C++, or MATLAB.
• Experience with relevant software libraries and frameworks, such as Pytorch, OpenCV, or PCL.
• A solid grasp of mathematical concepts related to 3D computer vision, including geometry, optimization, and statistical methods.
• Good problem-solving and analytical abilities.
• Strong communication skills

Bioinformatics Specialists: Machine Learning and Genome Data Analytics (Genome Institute of Singapore

We are looking for smart, motivated machine learning and data analytics researchers who can contribute to the development of new methods for understanding and diagnosing cancer. The candidate should have strong mathematical intuition and programming skills, and be comfortable working in a highly collaborative multidisciplinary environment that includes biologists, pathologists and medical oncologists. This will be a unique opportunity to learn cutting edge data analytics and computational biology techniques in the rapidly growing field of spatial omics.

Requirements

1. Bachelor’s or Master’s degree in Bioinformatics, Computational Biology, Data Science, or a related field with at least 5 years of relevant experience

2. High proficiency in scripting language (Perl, Python and statistical languages such as R, particularly in the use of packages such as Bioconducter or Biopython)

3. Additional programming skills in Java or C++ will be useful and candidate should be experienced working in Unix environments with computing clusters/servers

4. A strong background and course work in statistics, computer science and data science is preferable

To apply, please email your CV and names of references to [email protected], [email protected]

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.

Job Responsibilities

• Lead project as a Subject Matter Expert, design, plan and deploy the right functional technical solution accordance with the specification and service levels of business and/or system requirements include multi-region routing across regional DC’s Cisco SDWAN controller and Internet Gateway disaster recovery.
• Design, implement and migration of solutions involving, but not limited to, SDWAN, WAN, LAN, WLAN, SASE, Security and Virtual (e.g., SDN, NFV) technologies.
• QoS Architect to ensure application level of quality of service with strong knowledge of ITIL framework.
• Support major incidents or changes when there is escalation from operation team, working with the related stakeholders and takes corrective/preventive actions.
• Work with respective countries team members on the review of network architecture and design, troubleshooting, as well as to work on network and security infrastructure domain.
• Provide network architecture reviews, assessments and recommend remediation/enhancement to improve operational efficiency and compliant to existing IT policies and governance.
• Prepare and present technical documentations. Ensure that the technical settings comply with company policy and regulatory requirements and work with stakeholders to align infrastructure direction.

Job Requirements

• Bachelor’s degree in Computer Science, Information Technology, or closely related qualifications
• Min. 10 years of working experience in network design, implementation and managing large network security platform.
• Min. 3 years of working experience as Technical Lead related to SASE, Cisco SDWAN solution design and implementation in large scale projects.
• Industrial professional certification such as CCIE, CCNP is preferred.
• In-depth technical experience and proficiency in deploying network system(s) implementation for large enterprise, data center routing switching environments and network micro-segmentation.
• Hands-on experience in implementation and setup of high-availability, multi-layer datacenter networks.
• Must have working knowledge and implementation experience of Cisco SDWAN and SASE solution.
• Must have working knowledge and implementation experience of Cisco Router and Switches (ASR, ISR, Nexus, Catalyst)
• In-depth hands-on experience of advance IP routing and switching technologies, particularly BGP, EIGRP, SDWAN, OSPF, PBR, QOS, ECMP, VRRP, VPC and VXLAN
• Proficient with Cisco Systems, F5, Checkpoint, Fortinet or equivalent
• Exceptional written and verbal communication skills, capable of presenting to engineering and C-level executives.
• Prior working experience as an IT professional in banking or financial institution is an advantage.

Senior Assistant Manager/Manager

Research Transformation Office (RTO)
Deputy Chief Executive (Research & Education) Office

As a Process Analyst, you will work in NUHS Deputy Chief Executive (Research & Education) Office as a Research Transformation Office (RTO) member. You will support the Senior Assistant Director of RTO and collaborate with fellow Functional Division/Department’s Subject Matter Experts to deliver improved business processes and solutions.

Responsibilities

• Working alongside Functional Division/Department’s Subject Matter Experts (SME) to identify areas of inefficiency in the existing processes, and help users define business requirements which may entail process streamlining and/or automation.
• Assist SMEs and guide process mapping for as-is and to-be process modeling.
• Elicit requirements using interviews, document analysis, requirements workshops, surveys, site visits, business process descriptions, use cases, scenarios, business analysis, task and workflow analysis.
• Critically evaluate information gathered from multiple sources, reconcile conflicts, and decompose high-level information into details.
• Responsible for data integrity, defining data conversion/migration requirements, and verifying the correctness of converted/migrated data.
• Suggest processes for integration with technology and ways to increase productivity.
• Be the liaison between the Functional Division/Department’s Subject Matter Experts, technology, and support teams.
• Stay up-to-date with industry trends, best practices, and emerging technologies relevant to business analysis and process improvement.

Requirements

• Degree in Computer Science, Business Administration, or Management Information Systems.
• Proven experience as a Process Analyst or related role, with at least 5 years of experience in a similar capacity.
• Business acumen and the ability to align project objectives with overall business goals.
• Good knowledge of business analysis methodologies, tools, and best practices.
• Strong analytical, conceptualisation, and problem-solving skills.
• Experienced in creating Process Flowcharts, Swimlane Diagrams, Value Stream Maps, or similar business process mapping diagrams and tools.
• Adept in data analysis concepts and familiar with data visualization tools like Power BI.
• Good analytical and problem-solving skills, with the ability to synthesize complex information and draw meaningful insights.
• Familiarity with data platforms, data analysis, and data visualization tools (e.g., SQL, Tableau, Power BI, etc.), Microsoft 365 apps, especially in Power Automate, Power Automate Desktop, Power Apps, Microsoft Teams, SharePoint, Microsoft Forms, MS Project, MS Visio and knowledge in SAP system.
• Highly collaborative, with a proven ability to work effectively in cross-functional teams, and has the ability to pitch ideas and influence.
• Attention to detail, ensuring data accuracy and reliability in all analyses.
• A driven and motivated personality with an inquisitive mind.

Preferred Skills:

• Business Analysis certification, e.g., Certified Business Analysis Professional (CBAP) or Project Management Professional (PMP), is highly desirable.

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

The National University of Singapore invites applications for Research Fellow (Postdoc) for “Machine learning for Cognitive AI for biomedical sciences” in the Department of Ophthalmology, Yong Loo Lin School of Medicine. The department’s current data science efforts focus on building consciousness inspired machine learning to improve generalization and robustness of AI in medicine. The department has strong computational and medical expertise and significant amount of medical data and computational resources. More information on the department is available at https://medicine.nus.edu.sg/medoph. Appointments will be made on a 1-year contract basis in the first instance, with the possibility of extension.

Purpose of the post

The research fellow will be responsible to, and work closely with, the Principal Investigator and study team members to ensure the successful completion of the machine learning projects on time. The RA’s principal role will be to work in computational project such as modeling building and algorithm development.

Main Duties and Responsibilities

The research fellow will liaise with the relevant personnel in department to smooth the process of research and will be accountable to the Principle Investigator (PI). The RA will be able to:

1. Independently conduct machine learning in medicine or fundamental machine learning projects under instruction by the PI
2. Oversee the general management of the projects.
3. Provide administrative and secretarial support to the project, such as organizing regular meetings to maintain regular communication with other members of the research team
4. Maintain the highest standard of professional conduct and record keeping in accordance with policies and procedures.

Assist with any other duties of a similar nature that are delegated by the PI.

Qualifications

The applicant should:

1. holds a PhD degree in computer science, engineering, biomedical informatics, data science, or related disciplines;
2. be able to work independently and in a team, have an investigative nature, attention to detail;
3. have strong knowledge of machine learning or biomedical informatics;
4. have experiences in the fundamental machine learning or machine learning in medicine

Remuneration will be commensurate with the candidate’s qualifications and experience.

Formal application: Please submit your application, indicating current/expected salary, supported by a detailed CV (including personal particulars, academic and employment history, complete list of publications/oral presentations and full contacts of three (3) referees to this job portal.

We regret that only shortlisted candidates will be notified.

More Information

Location: Kent Ridge Campus

Organization: Yong Loo Lin School of Medicine

Department : Ophthalmology

Employee Referral Eligible: No

Job requisition ID : 22968

§ Conduct tissue culture experiments including accurate preparation of media reagents and components and maintenance of established commercial cell lines and/or patient cells.

§ Process and dissociate patient samples, both from blood and solid sources, for downstream experiments.

§ Perform drug treatments for cell culture; reconstitution and preparation of drug stocks as well as preparation of drug treatments using an automated liquid handling system.

§ Carry out cell viability assays using a microplate reader.

§ General laboratory tasks, including maintenance of laboratory work area, equipment and updating inventory.

Adhere to laboratory safety, quality controls and ensure compliance with applicable regulations and standards.

§ Preferred bachelor’s degree in biology or related field.

§ Applicants with basic tissue culture techniques. Prior experience processing patient samples is an advantage.

§ Willingness to learn different instruments and programs in the laboratory.

§ Able to work effectively in a team-oriented environment.

§ Able to work in a fast-paced, start-up environment.

§ Applicant must be willing and able to work on a flexible work schedule (Monday-Friday) and some weekends, to meet demands of our clinical laboratory.

Fresh graduates are welcome to apply.

Who are we?

We are the University of Cambridge presence in Singapore called Cambridge CARES, sponsored by the National Research Foundation (NRF) of Singapore as part of its CREATE program CAM.CREATE. The research programme Cambridge Centre for Carbon Reduction in Chemical Technology (C4T) is a collaborative research activity between Cambridge University, Nanyang Technological University (NTU), and National University of Singapore (NUS) within Cambridge CARES.

CARES is a busy research centre responsible for the support of the operational delivery of over 150 researchers and with current managed funds of S$60m (£32.5m). Research income from the Singapore National Research Foundation's CREATE programme, government-industry partnerships and industry, continues to grow. The pursuit of strong international research collaborations in Singapore demonstrates its alignment to the University of Cambridge mission to contribute to society through the pursuit of education, learning and research at the highest international levels of excellence. CARES maintains strong links with the Cambridge Colleges and the University as a whole, creating further opportunities for students and researchers in South East Asia and Cambridge to engage in multi-disciplinary international collaborations. The University of Cambridge had set out to seek out excellence and setting up enduring and mutually beneficial collaborations to establish strategic partnerships across the globe, of which CARES is both an example and has become an inextricable part of the University's make-up. Cambridge researchers are working alongside collaborators in Singapore universities and other research institutions on problems such as research in carbon reduction and the science of learning to underpin preparations for a better future, which is both relevant to Singapore and the world at large.

Who are we looking for?

The Chief of Staff works as part of the CARES leadership team (with the CARES Director) to ensure the smooth running of the University of Cambridge's research centre in Singapore. The post holder has operational responsibility for all day-to- day non-academic activities of the centre, including research grant pre- and post award activities, people management, financial management, and establishing and maintaining partnerships with funders and collaborating institutions. The role holder is expected to fulfil decisions made by the CARES Governing Board, working with the CARES Director, CARES Governing Board and staff members to ensure that the organisational mission is fulfilled operationally and strategically.

The post-holder leads the multi-functional CARES Support Team (currently 12 based in Singapore and UK) supporting the research operations at the centre.

This position could be well suited to University of Cambridge administrators seeking a new challenge with the rare opportunity to work in an international environment abroad to further the University's international research ambitions; in such cases the position is offered as an internal secondment.

Please note that this position is based 100% in Singapore. The CARES Chief of Staff will be seconded full-time to Singapore and will be paid by CARES Ltd in Singapore Dollars. The Singapore salary will be competitive, taking into account local salary benchmarks.

Key responsibilities include:

• Planning and directing all administrative and operational activities on behalf of the CARES Director and CARES Governing Board, including line management of CARES Support Team in Singapore and Cambridge.
• Areas of functional responsibility include finance, procurement, HR, IT and lab technical support, communications and outreach, grants pre- and post-award support (including contracting), statutory compliance and reporting, and stakeholder management.
• Responsible for strategic planning and financial projections, including advising on and pro-actively planning options for full utilisation of major grants and contingency planning.
• Responsible for oversight of CARES’ legal, corporate and contractual compliance and risk management and for ensuring appropriate governance processes are in place to facilitate this.
• Organising and prioritizing critical issues and required information for the CARES Governing Board, CARES Director and leadership to facilitate efficient decision making.
• Assume responsibility for the management of the relationship with various stakeholders.
• Act as a liaison between leadership and other key stakeholders, including managing relationship with significant partners and external parties and ensuring CARES is involved in an appropriate range of discussions in the government, public and private sectors at national (UK and Singapore) and international levels, and take an active role in relevant networks to facilitate.
• Provide oversight and guidance to projects of high importance, including major grant bids, infrastructure and procurement projects, policy development and others.
• Manage research grant pre-award and post-award activities, and planning for major grant bids.
• Oversight of CARES contracting process, including negotiation on behalf of CARES in more complex cases.
• Oversight of CARES’ intellectual property management, with support from the relevant university technology transfer offices.
• Develop and oversee appropriate systems, policies and protocols for operations and administration in CARES.
• Deputise for the CARES Director in relation to the non-academic duties as required, including representing the programme professionally and at a senior level to external parties.

What skills/experience do you have?

Experience:

• Work experience of operations management, including experience of working in a senior level, complex environment.
• Experience of management in an academic or research environment, particularly multi-institutional and grants based.
• Experience of management in a start-up environment. (Desirable)
• Experienced people manager with evidence of managing performance of large teams for high quality results.
• Demonstrable track record of shaping, as relevant, policy, strategy and practices in medium to large organization.
• Evidence of experience in sensitively managing stakeholder relationships.
• Experience of oversight of intellectual property management in a research or academic environment. (Desirable)
• Knowledge of and experience with higher education sector management. Experience of University of Cambridge particularly useful. (Desirable)
• Experience of international or intercultural management and/or working, particularly with South East Asia/UK. (Desirable)

Skills:

• Strong Project Management skills.
• Proven ability to lead and inspire a team and work with vision and foresight to support staff in individual and team growth, and in doing so promoting a productive and supportive culture.
• Ability to provide nuanced, indirect leadership, including upwards and through dotted line structures.
• Excellent organisational and prioritisation skills, and the ability to accomplish varied tasks effectively.
• Strong abilities in strategic thinking and planning; the ability to guide and harmonise several programmes of work, and oversee and coordinate multiple teams and management arrangements.
• Well-developed inter-personal and managerial skills; ability to foster good relationships with people at all levels and to communicate effectively with a wide range of staff, students and external contacts.
• Strong problem-solving skills, with ability to think outside established solutions where these are not appropriate to the context.
• Strong negotiating and moderating skills.
• Numerate, with confidence in manipulation and analysis of financial and other numerical data.
• Ability to work and think strategically and collaboratively across functions and institutions.
• Strong sense of professional integrity and an ability to lead with this at the core.
• Excellent communication skills, capable of being deployed in high-profile, culturally varied situations.
• Fluency in English.
• Ability to intelligently and knowledgeable navigate compliance requirements, including ability to use. policy and governance arrangements as effective tools.
• Highly proactive, persuasive, energetic and enthusiastic.
• Adaptable and able to thrive and lead in a changing environment.

Qualifications:

• Undergraduate degree in a scientific discipline. (Desirable)
• MBA, MPA or similar qualification. (Desirable)
• Some training in understanding and using management accounts. (Desirable)

What can we offer you?

• A stimulating working-environment with friendly, highly motivated colleagues.
• Opportunities to develop and implement new ideas in a creative environment.
• A competitive salary in line with your skills and experience.
• A comprehensive medical insurance cover as part of your employment.

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

The National University of Singapore invites applications for Research Assistant for “Machine learning for Cognitive AI for biomedical sciences” in the Department of Ophthalmology, Yong Loo Lin School of Medicine. The department’s current data science efforts focus on building consciousness inspired machine learning to improve generalization and robustness of AI in medicine. The department has strong computational and medical expertise and significant amount of medical data and computational resources. More information on the department is available at https://medicine.nus.edu.sg/medoph. Appointments will be made on a 1-year contract basis in the first instance, with the possibility of extension.

Purpose of the post

The Research Assistant (RA) will be responsible to, and work closely with, the Principal Investigator and study team members to ensure the successful completion of the machine learning projects on time. The RA’s principal role will be to work in computational project such as modeling building and algorithm development.

Main Duties and Responsibilities

The Research Assistant will liaise with the relevant personnel in department to smooth the process of research and will be accountable to the Principle Investigator (PI). The RA will be able to:

1. Independently conduct machine learning in medicine or fundamental machine learning projects under instruction by the PI
2. Oversee the general management of the projects.
3. Provide administrative and secretarial support to the project, such as organizing regular meetings to maintain regular communication with other members of the research team
4. Maintain the highest standard of professional conduct and record keeping in accordance with policies and procedures.
5. Assist with any other duties of a similar nature that are delegated by the PI.

Qualifications

The applicant should:

1. holds a Bachelor’s or master’s degree in computer science, engineering, biomedical informatics, data science, or related disciplines;
2. be able to work independently and in a team, have an investigative nature, attention to detail;
3. have strong knowledge of machine learning or biomedical informatics;
4. have experiences in the fundamental machine learning or machine learning in medicine

Remuneration will be commensurate with the candidate’s qualifications and experience.

Formal application: Please submit your application, indicating current/expected salary, supported by a detailed CV (including personal particulars, academic and employment history, complete list of publications/oral presentations and full contacts of three (3) referees to this job portal.

More Information

Location: Kent Ridge Campus

Organization: Yong Loo Lin School of Medicine

Department : Ophthalmology

Employee Referral Eligible: No

Job requisition ID : 22967

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

A Bioinformatician position is available in Dr Jeyasekharan's lab to assist with the analysis of data generated through spatial analytics platforms, along with correlative biostatistics on annotated clinical data.

Dr Jeyasekharan's research aims to understand regulators of immune clearance of cancer cells following genotoxic therapy, with a focus on the use of multiplexed spatial imaging assays to define these phenomena in clinical samples of cancer. You may refer to https://csi.nus.edu.sg/researcher/anand-jeyasekharan/ for more information

Interested applicants should include the following documents in the job application

1. Curriculum Vitae (CV)
2. Summary of past research experience
3. Description of long-term plans
4. At least 2 referees including their name, contact information (email) and relationship to applicant

Duties and Responsibilities

• To process and analyse data generated from spatial analytics platforms e.g. Lunaphore Comet, Akoya PhenoCycler, NanoString Digital Spatial Profiling and STOmics Stereoseq, applied to cancer tissue.
• To perform general bioinformatics-related tasks including: Sourcing, downloading, organizing and analysis of microarray, RNAseq, scRNAseq, and spatial analytics data from publicly available databases.
• To assist the PI and laboratory personnel with biostatistical analyses correlating phenotypes of interest with clinical parameters such as stage, risk categorization, survival
• To harmonize multiple clinical datasets and perform metanalyses

Qualifications

• Master’s Degree in Biomedical Informatics/Bioinformatics/Biostatistics, or related area with relevant research experience and training.
• Must have experience and expertise with processing and analysis of data generated from spatial analytics platforms.
• Proficient in statistical techniques commonly used in biomedical research (including Regression Analysis, Survival Analysis and Multivariate Statistical Analysis)
• Proficient in programming languages for bioinformatics/ statistics (R, Python), and in machine learning approaches
• To be a team player with the ability to work collaboratively with other members of the lab.