As a part of the NRF Fellowship Project on Materials-by-Design, School of Materials Science & Engineering (MSE) is looking to hire a Research Assistant with expertise in high-throughput synthesis of inorganic materials and optimization using machine learning. The Research Assistant will build upon our team’s experience toward developing high-throughput experimental platforms for synthesis, characterization and functional performance testing (thermoelectric performance, catalytic performance) of a library of materials.  The Research Assistant will focus on synthesizing and characterizing inorganic materials, specifically inorganic chalcogenides for thermoelectrics and metal alloy catalysts for CO2 reduction.

Additionally, the Research Assistant will conduct in-depth structural and elemental characterization and analysis of the materials using XRD, SEM-EDX and XPS. Finally, thermoelectric measurements experiments will be conducted. The Research Assistant should be able to utilize design-of-experiments and high-throughput experimental workflows. In addition, materials science and metallurgical concepts such as phase diagrams, mapping and separating different phases and oxidation states of compounds and rapid structural analysis are required. Finally, machine learning will be applied to guide experimental campaigns.

Key responsibilities:

• Conduct synthesis of inorganic thermoelectric materials using various high-throughput synthesis techniques.

• High-throughput synthesis of materials for CO2 reduction will also be conducted.

• Develop new high-throughput methods, and accordingly modify hardware for their execution.

• Perform in-depth characterization of synthesized materials using XRD, SEM, and EDS.

• Deploy machine learning techniques to guide future experimental campaigns. In addition to regression methods (Gradient Boosting, Random Forest) it is desirable to be familiar with Bayesian Optimization.

Job Requirement

• Bachelors or Masters in Materials Science, Chemistry, Physics, Applied Physics, Electrical Engineering or Mechanical Engineering with research experience in synthesis and lab skills

• Experience in inorganic synthesis of nanomaterials and solid-state compounds.

• Experience in advanced analysis of X-ray diffraction e.g. through Rietveld refinement

• Knowledge of Bayesian Optimization

• Ability to work in a team with clear communication skills and to develop own ideas in 1-2 years' time.

• A can-do attitude in a fast-paced research environment.

We regret that only shortlisted candidates will be notified.

The eVTOL Research and Innovation Centre at School of Mechanical & Aerospace Engineering (MAE), Nanyang Technological University, Singapore, is looking for a Research Fellow in the area of Aero Performance.

Key Responsibilities:

• Conduct cutting-edge research in aerodynamics and aeroelasticity using computational tools to push the boundaries of overall aircraft performances.

• Lead research initiatives to optimize overall aero performance and aerodynamic and structural efficiency.

• Contribute to the development of innovative strategies to enhance aircraft performance envelopes.

• Conduct advanced research on the aeroelastic behaviour of aircraft structures, ensuring stability and control under various aerodynamic loads.

• Analyse and interpret experimental and flight test data to contribute to the development of high-performance aircraft.

• Collaborate with a diverse team of researchers, engineers, and scientists to foster an interdisciplinary approach to aerospace research.

• Participate in collaborative research projects and contribute insights to improve overall aircraft performance.

• Document research methodologies, results, and insights in comprehensive reports.

Job Requirements:

• Ph.D. in Aerospace Engineering, Mechanical Engineering, or any related field.

• Proven research experience in aerodynamics, aero performance optimization, and aeroelasticity.

• Expertise in CFD tools, finite element analysis, and advanced engineering research methodologies. E.g. ANSYS, NASTRAN, etc.

• Strong publication record in relevant research journals.

• In-depth understanding of aircraft design principles and performance factors.

• Excellent analytical and problem-solving skills.

• Fluent English skill is a must.

We regret that only shortlisted candidates will be notified.

As a Quantitative researcher your responsibilities will include

• Develop new or improve existing trading models using in-house platforms
• Use advanced mathematical techniques to model and predict market movements
• Analyse large financial datasets to identify trading opportunities
• Provide real time analytical support to experienced traders

Requirements :

• Possess a degree in a highly analytical field, such as Engineering, Mathematics, Computer Science from top ranked universities
• Quantitative bent of mind
• A working knowledge of Linux/Unix
• Programming experience, preferably in C++ or C
• No prior knowledge of financial markets is needed but must have a strong interest in learning about financial markets.
• Have a strong work ethics

Research Assistant (Exhibitions) ( 1 year contract, up to $3,100 per month)

Work Location: Bras Basah

Working Hours:Mon to Fri – 9.00am to 6.00pm

Job Description

• Conduct in-depth research for exhibitions on Singapore, on the following areas: 1) the history of leisure and recreation 2) place-based social histories 3) architecture the subaltern 4) Singapore Literature
• Work closely with curators to conceptualise, research and develop written content for exhibitions, including educational, marketing and public outreach materials, social media write-ups and child-friendly guides
• Assist in exhibition-related tasks, such as sourcing exhibition materials and securing copyright permissions
• Support in community engagement as part of exhibition research and/or publicity efforts, including giving public tours

Requirement

• Bachelor’s Degree in History or related social sciences
• Demonstrated interest in and sound understanding of Singapore history and heritage
• Strong and meticulous in historical research and writing, skilled in sourcing and analysing
• primary and secondary materials
• Collaborative and innovative, able to work well in a team as well as independently
• Good interpersonal communication, able to meet tight deadlines and work under
• pressure
• Experience in exhibition, library & archives, or museum work and proficiency in other
• languages would be advantageous (e.g. Bahasa Melayu, Mandarin, Tamil)

Interested candidate please click "APPLY"to begin your job search journey and submit your CV directly through the official PERSOLKELLY job application platform - GO Mobile.

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

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PERSOLKELLY Singapore Pte Ltd • RCB No. 200007268E • EA License No. 01C4394• Reg. R1879511 (Serena Ho)

Job Description:

• To plan, conduct, report and follow up on assigned audits
• To lead Directed Audits, as applicable
• To provide compliance advice in areas related to Clinical Development Centre including Pharmacovigilance and Clinical Pharmacology, as applicable.
• To support training of Auditors, in association with the Head of Section
• To support and/or coordinate GCP and Pharmacovigilance Regulatory Authority inspections, as applicable
• To contribute to the maintenance of procedures and processes related to the respective area and the continual improvement of these processes to keep them up to date and in line with best practices and regulations.

The Requirements:

• Min degree in Science (e.g. Pharmacology, Biology, Medicine)
• 5 years’ experience in pharmaceutical area, of which 4 years in Quality Assurance, Good Clinical
• Practice or Pharmacovigilance experience

Interested candidates please send in your resume to:

[email protected]

EA Personnel: Valerie Yong Kian Fung
CEI No.: R1103704

Recruit Express Pte Ltd, EA License No.: 99C4599

Division of Mathematical Sciences (MAS) in School of Physical and Mathematical Sciences (SPMS) is looking for a candidate to join them as a Research Fellow.

The College of Science seeks a diverse and inclusive workforce and is committed to equality of opportunity. We welcome applications from all and recruit on the basis of merit, regardless of age, race, gender, religion, marital status and family responsibilities, or disability.

Key Responsibilities:

• Development of stochastic and analytical methods for nonlinear partial differential equations

• Implementation of relevant numerical experiments using deep learning algorithms

Job Requirements:

• PhD degree in (applied) mathematics

• Relevant research experience in stochastic analysis and/or partial differential equations, Python coding

• Enthusiasm, good communication skills, and being able to conduct independent research

We regret to inform 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

• Participate in project discussions and requirement gathering with BIPO and their endusers.
• Research on Optimization for modeling robust manpower scheduling.
• Design and implementation of GNN for manpower scheduling.
• Design, develop, integrate & implement test-bed systems to meet project partner requirements and system performance requirement.

• Minimum PhD degree in Computer Science, Information Technology, Information Systems or closely related disciplines.
• Minimum 2 years of relevant research experience in Optimization using tools like ORTools, CPLEX or Gurobi.
• Proficient in Java and Python.
• Competent in Gurobi or CPLEX.
• Competent in Google OR Tools.
• Excellent written and oral communication skills.
• Self-motivated, able to multi-task and carry out tasks independently.
• Excellent team player and strong inter-personal skills.

#LI-XL1

To plan, evaluate, prepare resources and conduct classes. Customise and apply pedagogy to meet the different learning needs of students.

A good Diploma or Degree in the relevant discipline with relevant teaching qualifications. Excellent Communication, Interpersonal & Classroom Management Skills.

At least 3 years of relevant teaching experience.