Total 16 science rd research job vacancies in new quay ceredigion sa45 9se

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.

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.

Project Overview

The "Mens, Manus and Machina—How AI Empowers People, Institutions and Cities in Singapore (M3S)" project is driven by the goal of investigating the nature of work, redefining our relationship with technology, and exploring how institutions can adapt to foster livability, sustainability, innovation, and social welfare.

Successful applicants will have the opportunity to work on cutting-edge projects that aim to develop state-of-the-art AI to create future smart cities. The Postdoctoral Associate is in the T7 project for the five-year M3S program in SMART. The SMART team seeks to advance the frontier of AI research, apply it to society and cities, and demonstrate the concrete social impacts of the AI algorithms with broad public acceptance in Singapore.

Specifically, the SMART-T7 project concerns the design of human-machine systems for the scheduling and allocation of valuable resources in ways that accommodate and optimize for the needs and capabilities of both humans and machines. The project aims to solve diverse use cases, including the stand allocation processes at Singapore Changi Airport and resource allocation on the Grab platform, as a paradigm for a broad set of other potential application contexts.

The problem of scheduling and allocating valuable resources appears in numerous contexts (e.g., transportation, health, public services, logistics) and scales. Many of these contexts share a set of common features. First, decisions regarding scheduling and resource allocation must be made in the face of uncertainty about the amount and timing of demand for these resources. This, in turn, means that plans must be updated dynamically as new information comes in. Moreover, a variety of stakeholders are typically involved and contend for the limited available resources, so that decision-makers must look for compromise solutions that “optimize”, in some way, the use of the resources, while balancing, to the extent possible, the requirements, priorities and social, economic, or demographic characteristics of these stakeholders. In short, these are complex problems involve multiple agents making multi-attribute decisions in a dynamic environment in the presence of uncertainty. Increasingly, AI- and ML-based tools are being brought by large organizations to bear on these problems and complement the expertise and experience of human managers and operators and the traditional decision-making support offered by more traditional (often large-scale) optimization models and algorithms. Optimizing human-machine interactions, training of humans and anticipating and mitigating potential societal, ethical, privacy and transparency issues related to these new tools are all critical aspects of the design of this next generation of scheduling and resource allocation systems.

The SMART-T7 team is led by distinguished scholars, i.e., Professor Hamsa Balakrishnan, Professor Jinhua Zhao, Professor Amedeo Odoni, and Professor Jason Jackson from MIT, and Professor Hai Wang from Singapore Management University.

Job Description

• Collaborate with the project team and other researchers to design, implement, and evaluate research projects.
• Publish research results in top-tier journals and conferences, and disseminate research findings through presentations and other means.
• Participate in the mentorship and training of graduate and undergraduate students at MIT and in Singapore.
• Assist in grant writing, project management, and other administrative duties related to research activities.
• Perform other duties as needed.

Job Requirements

• Ph.D. in Operations Research, Computer Science, Artificial Intelligence, Data Science, Industrial Engineering, Network Science, Transportation Engineering, or a related field by the start of the appointment.
• Direction 1: Experience with general methods in decision-making under uncertainty, including stochastic and robust optimization, integer and combinatorial optimization, dynamic programming, and large-scale optimization; and/or
• Direction 2: Experience with general methods in machine learning, including reinforcement learning, deep learning, generative AI, multimodal AI, statistical modeling, and network analysis.
• Experience in the integration of machine learning and decision-making.
• Strong publication record in top-tier conferences and journals.
• Excellent communication and collaboration skills.

You can contact Professor Hai Wang (haiwang@smu.edu.sg) for further information.

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

The "Mens, Manus and Machina—How AI Empowers People, Institutions and Cities in Singapore (M3S)" project is driven by the goal of investigating the nature of work, redefining our relationship with technology, and exploring how institutions can adapt to foster livability, sustainability, innovation, and social welfare.

Humans have spent eons learning how to work effectively with each other as a species, but at the scale of human history, we are still neophytes to computation and automation. The main research questions we want to address are: 1) How will we design AI and robotics technologies and train humans to build the skills and habits necessary for success in an AI and robotics-heavy work environment?

Job Description

Perform fundamental and applied research on soft robotics, with particular emphasis on design, fabrication, and control of soft robotic manipulators for complex manipulation tasks.

• Develop novel control strategies, algorithms, and sensory feedback systems to enable precise and adaptive manipulation.
• Collaborate with multidisciplinary teams to integrate mechanical, electrical, and software components into functional robotic systems.
• Conduct experimental validation and performance evaluation of developed soft robotic manipulators.
• Participate in the applied projects with lab’s industrial partners.
• Present research results at top international workshops and conferences, exhibits as well as internal project meetings.
• Write and co-author articles for publication in tier-1 interdisciplinary journals and top conferences.

Job Requirements

The successful candidates must hold a Ph.D. in computer science, mechanical engineering, robotics or a related field, and have experience in interactive systems and/or soft robotics. Ability of working in a multidisciplinary team environment, problem solving skills and high creativity are very welcome.

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

The Singapore-MIT Alliance for Research and Technology (SMART) Centre invites applications for Postdoctoral Associate positions in the area of crystallization science and particle engineering. The successful candidate will be expected to work on the design and engineering of advanced microparticle-based pharmaceutical drug products comprising soft (polymer/hydrogel) matrices containing crystalline drug particles, typically made using microfluidic methods. This work will be conducted in close collaboration with a consortium of pharmaceutical companies (GSK, Merck and Pfizer). He/she will be reporting to Prof. Patrick S. Doyle (MIT, SMART) and Prof Saif A. Khan (NUS, SMART) and work with their team of researchers and collaborators.

Responsibilities

Successful candidates will be working closely with CAMP researchers and industry collaborators to develop a high-throuhgput process to manufacture engineered particles.

Principal duties are

• Generate various pharmecutical particles using microfluidics devices.

• Perform appropriate analysises to characterize the engineered particles.

• Perform materials testing experiments.

• Understand a process scale-up in order to translate the technology into an industrial domain.

• Prepare reports for industrial sponors.

Requirements

• PhD degree in chemical/materials engineering or related fields.
• Experience in crystalization science, materials characterizatino, microfluidics, drug product formulation/delivery.
• Ability to supervise junior members of the team.
• Ability to work as a team and collaborate with industrial and academic collaborators.
• Excellent in communication, both written and oral in English.

Project Overview

We are seeking at least one Postdoctoral Associate to join the "Mens, Manus and Machina—How AI Empowers People, Institutions and Cities in Singapore (M3S)" interdisciplinary group.

The M3S project is driven by the goal of investigating the nature of work, redefining our relationship with technology, and exploring how institutions can adapt to foster livability, sustainability, innovation, and social welfare.

Successful applicants will have the opportunity to work on cutting-edge projects that aim to develop state-of-the-art AI to create future smart cities. The Postdoctoral Associate is in the T4 project for the five-year M3S program in SMART. The SMART team seeks to advance the frontier of AI research, apply it to society and cities, and demonstrate the concrete social impacts of the AI algorithms with broad public acceptance in Singapore.

Specifically, the SMART-T4 project seeks to integrate the state-of-the-art AI and the classical dynamic behavioral models to maximize the growth of human capital. It creates novel theories and develops an AI-assisted system to recommend long-term career decisions and short-term spatiotemporal activity decision in cities. It facilitates individual decisions around education and skill training to support Singaporeans’ lifelong learning, including both cognitive and physical skills. It helps employers design remote work policies to promote work engagement, and guides government agencies to support workers through workforce training.

The SMART-T4 team is led by distinguished scholars, i.e., Professor Jinhua Zhao and Professor Alex "Sandy" Pentland from MIT, and Professor Archan Misra from Singapore Management University.

Job Description

• Collaborate with the project team and other researchers to design, implement, and evaluate research projects.
• Publish research results in top-tier conferences and journals, and disseminate research findings through presentations and other means.
• Participate in the mentorship and training of graduate and undergraduate students at MIT and in Singapore.
• Assist in grant writing, project management, and other administrative duties related to research activities.
• Perform other duties as needed.

Job Requirements

• Ph.D. in Computer Science, Artificial Intelligence, Transportation Engineering, Operation Research, Computational Social Science, Network Science, Civil Engineering, Economics, Statistics, Urban Planning, Industrial Engineering, or a related field by the start of the appointment.
• Experience in deep learning, reinforcement learning, statistical modeling, network analysis, and/or optimization.
• Experience in behavioral/economic models, urban mobility, and their integration with AI.
• Strong publication record in top-tier conferences and journals.
• Excellent communication and collaboration skills.

This role is primarily based in Singapore and appointment is on a two-year contract, with the possibility of extension.

If you want to find out more about the role, please contact Dr. Yunhan Zheng (yunhan.zheng@smart.mit.edu) or Professor Shenhao Wang (shenhao@mit.edu).

Project Overview

We are seeking at least one Postdoctoral Associate to join the "Mens, Manus and Machina—How AI Empowers People, Institutions and Cities in Singapore (M3S)" interdisciplinary group.

The M3S project is driven by the goal of investigating the nature of work, redefining our relationship with technology, and exploring how institutions can adapt to foster livability, sustainability, innovation, and social welfare.

Successful applicants will have the opportunity to work on cutting-edge projects that aim to develop state-of-the-art AI to create future smart cities. The Postdoctoral Associate is in the T5 project for the five-year M3S program in SMART. The SMART team seeks to advance the frontier of AI research, apply it to society and cities, and demonstrate the concrete social impacts of the AI algorithms with broad public acceptance in Singapore.

Specifically, the SMART-T5 project seeks to develop innovative machine learning algorithms that nudge human activities to maximize the growth of social capital and economy. The project makes intellectual contributions by synergizing classical network theory and deep learning, with applications to urban mobility networks in cities. This synergy leverages the integrated data sets of micro human mobility (e.g. phone trajectory), social network (e.g. Twitter), transportation infrastructure, and macro socioeconomics, thus connecting the micro-behavioral mechanism to macro-economic development.

The SMART-T5 team is led by distinguished scholars, i.e., Professor Alex "Sandy" Pentland, Professor Jinhua Zhao, and Professor Siqi Zheng from MIT, and Professor Simon Chesterman from National University of Singapore.

Job Description

• Collaborate with the project team and other researchers to design, implement, and evaluate research projects.
• Publish research results in top-tier conferences and journals, and disseminate research findings through presentations and other means.
• Participate in the mentorship and training of graduate and undergraduate students at MIT and in Singapore.
• Assist in grant writing, project management, and other administrative duties related to research activities.
• Perform other duties as needed.

Job Requirements

• Ph.D. in Computer Science, Artificial Intelligence, Transportation Engineering, Operation Research, Computational Social Science, Network Science, Civil Engineering, Economics, Statistics, Urban Planning, Industrial Engineering, or a related field by the start of the appointment.
• Experience in deep learning, reinforcement learning, statistical modeling, network analysis, and/or optimization.
• Experience in behavioral/economic models, urban mobility, and their integration with AI.
• Strong publication record in top-tier conferences and journals.
• Excellent communication and collaboration skills.

This role is primarily based in Singapore and appointment is on a two-year contract, with the possibility of extension.

If you want to find out more about the role, please contact Dr. Yunhan Zheng (yunhan.zheng@smart.mit.edu) or Professor Shenhao Wang (shenhao@mit.edu).

Project Overview

The Antimicrobial Resistance Interdisciplinary Research Group (AMR IRG) is a unique translational research and entrepreneurship program aimed at solving the growing threat of resistance to antimicrobial drugs. In synch with the National Strategic Plan for Antimicrobial Resistance, the AMR IRG was launched in January 2018 as a research programme funded by the National Research Foundation, under its Campus for Research Excellence and Technological Enterprise (CREATE) programme.

AMR IRG is made up of biologists, engineers, and clinicians from MIT and Singapore, at career stages ranging from student to postdoctoral researcher to research scientist, all of whom work closely with a core team of research specialists. The group shares a beautiful state-of-the art research facility and is united by a commitment to providing a supportive intellectual environment where members can learn, grow, and contribute to solving a pressing societal problem.

Optimization of antimicrobial use was is identified as a top priority in combating the rise of antimicrobial resistance. Yet, when one seeks medical care for an infection, clinical tools are lacking to rapidly determine whether the infection is bacterial or viral. Multi-plex nucleic acid tests to detect common pathogenic bacteria and viruses from bodily fluids are commercially available and are trusted by clinicians. However, the cost of these tests and the turnaround times required (longer than an office visit) limit how fequently they are used. A team in AMR IRG is working to develop a multi-plex protein panel and test that can address this gap while retaining performance metrics that are required for clinical adoption. We are seeking a creative, curious, motivated postdoctoral researcher with strong organizational skills to join this effort.

Job Description

• Plan and conduct experiments with the aim of producing superior, cost-effective, and user-friendly medical diagnostic tests.
• Develop technology, including protein engineering and integrated biosensor device development.

Job Requirements

• PhD in Chemical/Biomolecular/Biological Engineering or related field
• Commitment to reading and synthesizing peer-reviewed and patent literature
• Prior experience in these areas will be advantageous:

• applied molecular biology for biomolecular engineering
• microbial cell culture
• assay development
• validation of tests using clinical samples
• statistics
• high throughput screening
• flow cytometry
• ELISA
• knowledge of biomolecular reaction kinetics and transport
• optical and electrochemical sensing techniques

• Ability to work well with others
• Careful record keeping
• Strong communication skills (scientific writing and oral presentation)
• Skill in experimental design (systematic studies, informative controls)

Project Overview

We are seeking at least one Postdoctoral Associate to join the "Mens, Manus and Machina—How AI Empowers People, Institutions and Cities in Singapore (M3S)" interdisciplinary group.

The M3S project is driven by the goal of investigating the nature of work, redefining our relationship with technology, and exploring how institutions can adapt to foster livability, sustainability, innovation, and social welfare.

Successful applicants will have the opportunity to work on cutting-edge projects that aim to develop state-of-the-art AI to create future smart cities. The Postdoctoral Associate is in the program level for the five-year M3S program in SMART. The SMART team seeks to advance the frontier of AI research, apply it to society and cities, and demonstrate the concrete social impacts of the AI algorithms with broad public acceptance in Singapore.

Specifically, the SMART-Program team seeks to develop ethical, accountable, and transparent AI for broad public acceptance and adoption in Singapore. The SMART-Program team will collaborate closely with the seven projects across the M3S program. It absorbs core AI technology from the projects and then enhances AI ethics with algorithmic approaches. It will develop surveys to analyze the public acceptance regarding AI technology and designs methods to enhance public acceptance/adoption for AI. It will also help the implementation of the AI techniques across the M3S projects and works closely with the government agencies, industrial partners, and academic collaborators to demonstrate the use values of AI in Singapore.

The SMART-Program team is led by distinguished scholars, including Professor Jinhua Zhao and Professor Daniela Rus from MIT, and Professor Archan Misra from Singapore Management University.

Job Description

• Collaborate with the project team and other researchers to design, implement, and evaluate research projects.
• Publish research results in top-tier conferences and journals, and disseminate research findings through presentations and other means.
• Participate in the mentorship and training of graduate and undergraduate students at MIT and in Singapore.
• Assist in grant writing, project management, and other administrative duties related to research activities.
• Perform other duties as needed.

Job Requirements

• Ph.D. in Computer Science, Artificial Intelligence, Transportation Engineering, Operation Research, Computational Social Science, Network Science, Civil Engineering, Economics, Statistics, Urban Planning, Industrial Engineering, or a related field by the start of the appointment.
• Experience in deep learning, reinforcement learning, statistical modeling, network analysis, and/or optimization.
• Experience in behavioral/economic models, urban mobility, and their integration with AI.
• Strong publication record in top-tier conferences and journals.
• Excellent communication and collaboration skills.

This role is primarily based in Singapore and appointment is on a two-year contract, with the possibility of extension.

If you want to find out more about the role, please contact Dr. Yunhan Zheng (yunhan.zheng@smart.mit.edu) or Professor Shenhao Wang (shenhao@mit.edu).

Project Overview

We are seeking one or more graduate research interns (ideally full time students currently pursuing a PhD degree) in computer science to join the “Towards an Immersive Workplace” project. This project is part of Task “T1” of a five-year, ambitious research program on "Mens, Manus and Machina—How AI Empowers People, Institutions and Cities in Singapore (M3S)."

Successful applicants for this position will have the opportunity to work on cutting-edge research that builds new capabilities for AI-enhanced human-robot interaction, with a special focus on supporting efficient and collaborative spatial/3D sensing and comprehension in industrial environments, such as airport tarmacs and logistics warehouses. The end goal is to build exciting new capabilities that allow robots and humans to work together, interactively and in close proximity, with the spatial sensing helping agents embedded in robots understand and situate human instructions, queries and commands, issued naturally in untethered, field settings.

The research intern, working part-time (10-16 hours per week) will be specifically involved in the development of new, energy-efficient and reliable spatial sensing technologies, such as LIDAR (3D). The goal is to allow teams of humans and robots, working in close proximity in a common physical environment, to achieve appropriate spatial awareness. The research will focus on addressing challenges such as (i) interference between multiple LIDAR sensors, when operating in a shared physical environment, (ii) optimized sharing of LIDAR-sensed point cloud data among collaborating peers, and (iii) resource-efficient augmentation of LIDAR sensing via use of additional cheaper sensors (e.g., RGB and thermal cameras). These techqniues will progressively be combined with additional research, being developed in complementary efforts within the overall T1 project, that tackles topics such as non-obtrusive human attention capture and efficient multi-modal DNN comprehension for human instructions, to support more accurate understanding of human instructions and preferences, whether explicit or implicit.

The T1 team is led by distinguished scholars, including Profs. Sanjay Sarma, Daniela Rus and Jinhua Zhang from MIT; and Prof. Archan Misra from Singapore Management University. The proposed research described above will be spearheaded by Prof. Misra.

Job Description

• Conduct research and develop systems-level prototypes that focus on optimized, collaborative and contention-free spatial sensing
• Publish research results in top-tier conferences and journals, with focus on venues associated with mobile/embedded systems, AI and human robotic interactions.
• Collaborate with graduate and undergraduate students at MIT and in Singapore, and other SMART post-docs and research engineers

Job Requirements

• Currently full-time PhD student in Computer Science, with specialization in topics such as Mobile/Wearable Computing, AIoT and/or Multimedia Systems
• Experience with low-power pervasive systems and applications, with a special focus on spatial sensing and indoor 3D localization
• Project-level experience with programming of LIDAR devices and development of 3D point cloud based algorithms is highly desired
• Strong publication record in top-tier ACM/IEEE conferences and journals.
• DESIRABLE: Demonstrated ability to conduct inter-disciplinary research with a systems focus.
• Excellent communication and collaboration skills.

This role is based in Singapore and appointment is on a six-month contract, with the possibility of renewal and extension subject to maintaining full time student status. To find out more about this role, please contact Professor Archan Misra (archanm@smu.edu.sg).

Interested applicants are invited to send in their full CV/resume, cover letter and list of one reference. We regret that only shortlisted candidates will be notified.

To apply, please visit our website at:

https://portal.smart.mit.edu/careers/career-opportunities/job-application?job=545&job_cat=Student%20Job

Project Overview

SMART CAMP (Critical Analytics for Manufacturing Personalized-Medicine) is a interdisciplinary research programme in Singapore (CREATE international research campus and innovation hub) and at the Massachusetts Institute of Technology (MIT). SMART CAMP addresses key technology bottlenecks in cell therapy manufacturing: (i) critical quality attributes of safe, effective cell therapy products; and (ii) integrated process analytics to monitor and modulate those attributes. While cell therapies are poised to transform healthcare for both the industry and the patient, there remain many outstanding scientific and technical challenges to significant global impact that this R&D programme addresses. This high-impact focus includes measurement and feedback control of processing parameters (process analytic technologies, or PAT) that contribute to cell viability and function during cell proliferation, and the measurement at intermediate and final steps of the cell product properties correlated with positive therapeutic outcomes (critical quality attributes, or CQA).

This interdisciplinary team comprises engineers, biologists, clinicians, manufacturing, and data analytics experts from multiple MIT academic units, and multiple Singapore-based universities, research centres of excellence, and hospitals who are experienced at translational demonstrations of technologies in safety-regulated industries such as cell therapies.

CAMP’s unique, enabling and cross-cutting capabilities include cell and clinical biology, microfluidics, real-time optics and spectroscopies, 3D-printed devices, process analytics, data analytics, and bioinformatics. This programme will demonstrate these approaches required of cell-based personalized medicine through three translational testbeds (three Flagship Projects), ultimately facilitating access for more patients to life-saving, approved cell therapies for currently intractable health challenges. These flagship projects will address allogeneic and autologous cell therapy products, including but not limited to cell sources including adult stem/progenitor cells and immune cells for treatment of specific cancers, tissue degeneration, and autoimmune diseases.

For information on SMART CAMP: https://camp.smart.mit.edu

Responsibilities

SMART CAMP research focuses on multiple immune cell types and targeted indications, including CAR-T cells for cancer therapeutics. Our experts in immunology at the basic and translational levels work on the development of both the cells’ critical quality attributes (CQA) and culture systems’ process analytic technologies (PAT). This Research Engineer / Senior Research Engineer will assist our researchers in laboratory organization, as well as in research and process development, including experiments related to:

• Immune cell culture and CAR-T cell manufacturing
• Immune cell isolation, activation, transduction, and expansion
• Immune cell characterization and profiling
• Clinical sample processing
• Lentivirus production
• Plasmid preparation

Requirements

• Bachelor of Science / Life Sciences / Bio-Engineering / Chem-Engineering Degree or Diploma.
• Research experience with aseptic cell culture is a must.
• Experience with cellular profiling assays, e.g. flow cytometry staining and analyses, gene and protein expression, cytotoxicity assays.
• Experience with molecular biology assays, e.g. molecular cloning and plasmid preparation.
• Experiece with bioreactors is an asset.
• Good organizational skills and time management.
• Good work ethic and intergrity, and ability to work well in a team.
• Able to communicate effectively in and present data to a multidisciplinary team of researchers with different training backgrounds.

To apply, please visit our website at: http://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 one or more Postdoctoral Associates, Research Engineers, or Research Scientists in social sciences or related fields to join a project on “Designing human-AI teams.” The project is part of a five-year research program on "Mens, Manus and Machina—How AI Empowers People, Institutions and Cities in Singapore (M3S)."

Successful applicants for this position will have the opportunity to work on cutting-edge, interdisciplinary projects that aim to dramatically rethink how people and AI systems will work together in the future. To do this, the project seeks to build a strong scientific foundation for how AI can augment (as opposed to replace) humans.

One important goal of the project is to develop a rich taxonomy of activities that can be performed by human-AI teams. Like mapping the plants and animals on an unexplored continent, the work will involve cataloging many (a) activities and (b) possible human-computer processes for performing these activities.

To do this, we will develop knowledge bases that include (1) descriptions of many different types of activities and processes, and (2) classifications of these descriptions into taxonomies that range from very general types of activities to very specific ones.

Then, using these knowledge bases, we will develop AI tools to automatically generate promising ways of combining humans and AI systems to perform different tasks. In the long run, we believe these tools will help rapidly (a) identify use cases for new AI capabilities, (b) specify effective processes and task allocations to humans and computers in a given situation, and (c) identify innovative ways to combine people and AI to solve business and societal problems.

The T6 team is led by distinguished scholars, including Profs. Thomas Malone, Daniela Rus, and Abdullah Almaatouq from MIT; and Profs. Marcelo Ang and Bryan Low from the National University of Singapore; and will be assisted by Prof. Archan Misra from Singapore Management University.

Job Description

Successful candidates for this job will participate in one or more activities like the following:

• Developing descriptions of current or potential activities and processes based on techniques such as: interviews, surveys, field studies, ethnographic observations, and literature reviews.
• Making editorial decisions about what content to include in the knowledge base, how to present it clearly, and how to organize it in ways that are logical, comprehensive, widely understandable, intuitively appealing, and conceptually elegant.
• Using human-subject experiments and other social science methodologies (such as cluster analysis) to help improve the above activities as well as to inform and evaluate the development of software tools based on the knowledge bases being developed.
• Collaborate with the project team and other researchers to design, implement, and evaluate research projects.
• Perform other duties as needed.
• Publish research results in top-tier conferences and journals, and disseminate research findings through presentations and other means.
• Participate in the mentorship and training of graduate and undergraduate students at MIT and in Singapore.
• Assist in grant writing, project management, and other administrative duties related to research activities.

Job Requirements

• Ph.D. in Social Science (such as Psychology, Sociology, Political Science, and Economics), Management, Organizational Behavior, Philosophy, Journalism, Computer Science (e.g., with a focus on Human-Computer Interaction), or other related fields by the start of the appointment.
• Excellent communication and collaboration skills.
• DESIRABLE:Strong publication record in top-tier conferences and journals.
  Familiarity with statistical data analysis tools and techniques.

This role is primarily based in Singapore.

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 one or more Postdoctoral Associates, Research Engineers, or Research Scientists in computer science or related fields to join a project on “Designing human-AI teams,” which is part of a five-year research program on "Mens, Manus and Machina—How AI Empowers People, Institutions and Cities in Singapore (M3S)."

Successful applicants for this position will have the opportunity to work on cutting-edge, interdisciplinary projects that aim to dramatically rethink how people and AI systems will work together in the future. To do this, the project seeks to build a strong scientific foundation for how AI can augment (as opposed to replace) humans, and how humans can take advantage of the increased usefulness of AI systems across many tasks.

We will start by combining techniques from computer science and the social sciences to create online taxonomies of tasks and design space maps of many ways humans and AI systems can work together. For example, we will experiment with using machine learning or other techniques to discover patterns in data such as process repositories.

Then, using these knowledge bases, we will develop AI tools to automatically generate promising ways of combining humans and AI systems to perform different tasks. In the long run, we believe these tools will help rapidly (a) identify use cases for new AI capabilities, (b) specify effective processes and task allocations to humans and computers in a given situation, and (c) identify innovative ways to combine people and AI to solve business and societal problems.

The T6 team is led by distinguished scholars, including Profs. Thomas Malone, Daniela Rus, and Abdullah Almaatouq from MIT; and Profs. Marcelo Ang and Bryan Low from the National University of Singapore; and will be assisted by Prof. Archan Misra from Singapore Management University.

Job Description

Successful candidates for this job will participate in one or more activities like the following:

• Developing semi-formal descriptions of activities and processes that can be performed by people and/or AI systems.
• Developing database and user interface tools for online knowledge bases of these activities and processes.
• Develop software applications that use these online knowledge bases to, for example:suggest innovative ways of combining humans and AI to solve various kinds of problems.
  specify detailed workflows, task assignments, and software modules to do this.
• Collaborate with the project team and other researchers to design, implement, and evaluate research projects.
• Perform other duties as needed.

Job Requirements

• Bachelor’s or Master’s degree in Computer Science or Engineering (including Artificial Intelligence, Machine Learning, and Human-Computer Interaction)
• Excellent communication and collaboration skills.

This role is primarily based in Singapore.

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 one or more Postdoctoral Associates, Research Engineers, or Research Scientists in social sciences or related fields to join a project on “Designing human-AI teams.” The project is part of a five-year research program on "Mens, Manus and Machina—How AI Empowers People, Institutions and Cities in Singapore (M3S)."

Successful applicants for this position will have the opportunity to work on cutting-edge, interdisciplinary projects that aim to dramatically rethink how people and AI systems will work together in the future. To do this, the project seeks to build a strong scientific foundation for how AI can augment (as opposed to replace) humans.

One important goal of the project is to develop a rich taxonomy of activities that can be performed by human-AI teams. Like mapping the plants and animals on an unexplored continent, the work will involve cataloging many (a) activities and (b) possible human-computer processes for performing these activities.

To do this, we will develop knowledge bases that include (1) descriptions of many different types of activities and processes, and (2) classifications of these descriptions into taxonomies that range from very general types of activities to very specific ones.

Then, using these knowledge bases, we will develop AI tools to automatically generate promising ways of combining humans and AI systems to perform different tasks. In the long run, we believe these tools will help rapidly (a) identify use cases for new AI capabilities, (b) specify effective processes and task allocations to humans and computers in a given situation, and (c) identify innovative ways to combine people and AI to solve business and societal problems.

The T6 team is led by distinguished scholars, including Profs. Thomas Malone, Daniela Rus, and Abdullah Almaatouq from MIT; and Profs. Marcelo Ang and Bryan Low from the National University of Singapore; and will be assisted by Prof. Archan Misra from Singapore Management University.

Job Description

Successful candidates for this job will participate in one or more activities like the following:

• Developing descriptions of current or potential activities and processes based on techniques such as: interviews, surveys, field studies, ethnographic observations, and literature reviews.
• Making editorial decisions about what content to include in the knowledge base, how to present it clearly, and how to organize it in ways that are logical, comprehensive, widely understandable, intuitively appealing, and conceptually elegant.
• Using human-subject experiments and other social science methodologies (such as cluster analysis) to help improve the above activities as well as to inform and evaluate the development of software tools based on the knowledge bases being developed.
• Collaborate with the project team and other researchers to design, implement, and evaluate research projects.
• Perform other duties as needed.

Job Requirements

• Bachelor’s or Master’s degree in Social Science (such as Psychology, Sociology, Political Science, and Economics), Management, Organizational Behavior, Philosophy, Journalism, Computer Science (e.g., with a focus on Human-Computer Interaction)
• Excellent communication and collaboration skills

This role is primarily based in Singapore.

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