Lydia Tan LT
2018-11-27 01:10:10 UTC
The Living Analytics Research Centre (LARC) is a research centre set up in Singapore Management University (SMU) with Carnegie Mellon University (CMU) as our strategic partner.
LARC conducts research on urban and social sensing, social-physical analytics and social activation that enable a society to become (i) personalized, for improving peoples lifestyle and well-being, and (ii) participatory, for getting people to perform tasks for public good.
LARC has its research projects covering four important application domains, namely:
a) Urban and Community Livability,
b) Jobs and Skills Intelligence,
c) Personalised Urban Mobility, and
d) Smart Consumption and Healthy Lifestyle
We have vacancy for the following positions:-
- Research Engineer (Crowdsourcing)
- Research Fellow (Crowdsourcing)
- Research Engineer (Urban Computing, Human Computer Interaction, and Visualisation)
- Research Fellow (Urban Computing, Human Computer Interaction, Visualisation)
- Research Fellow/ Scientist (Artificial Intelligence, Deep Learning and Machine Learning)
Please refer to the Job Descriptions attached.
Contact Us
For interested candidates, please send in your resume and indicate the position you are applying to:
Email address: ***@smu.edu.sg
You are welcome to share this opportunity with your friends. Thank you!
c) Personalised Urban Mobility
Research Engineer (Crowdsourcing)
The candidate will work in the area of Crowdsourcing which aims to improve productivity and develop technologies to harness behavior insights.
The candidate will be working on key initiatives and projects with internal or external partners. He will be required to gather requirements from project partners through discussions and correspondence. He will develop, design and implement research prototypes and test-bed systems to achieve project requirements and targets. The candidate is also required to showcase the centres analytics capabilities at events and assist other researchers to collect and extract relevant data for research purposes.
Requirements
* Bachelor/Master Degree in Computer Science or relevant disciplines
* Good knowledge of Databases, Data Mining, Distributed Computing, Operating Systems
* Proficient in at least one or more of these programming languages: Java, Python, C#, C++, C
* Prior experience in mobile sensing, trajectory planning and human behavioral analytics is an added advantage
* Self-motivated and able to carry out tasks independently
* Excellent team player and possess strong inter-personal skills
c) Personalised Urban Mobility
Research Fellow
(Crowdsourcing)
The candidate will work in the area of Crowdsourcing which aims to improve productivity and develop technologies to harness behavior insights.
The Research Fellow will work with faculty researchers on research topics in the urban/social computing, smart cities and consumer business domains, namely Data and Text Mining, Machine Learning, Deep Learning, Crowdsourcing, Recommender Systems, Social-Urban Sensing and Big Data Infrastructure.
The candidate is required to design research methodologies and develop algorithms and models. He will also be required to design and conduct experiments, and implement applications, tools and systems. The candidate will also assist to develop analytics capabilities in big data infrastructure and conduct data science studies.
Requirements
* PhD in Computer Science or related disciplines
* Good knowledge in relevant research topics and possess related research skills
* Proficient in at least one or more of these programming languages: Java, Python, C#, C++ and C
* Prior experience in mobile sensing, trajectory planning and human behavioral analytics is an added advantage
* Self-motivated and able to carry out tasks independently
* Excellent team player and possess strong inter-personal skills
* Analytical and meticulous with attention to details
a) Urban and Community Liveability, (b) Jobs and Skills Intelligence and
(c) Personalised Urban Mobility
Research Engineer
(Urban Computing, Human Computer Interaction, and Visualisation)
The candidate will work in the areas of Urban Computing, Human Computer Interaction, and Visualisation which aims to enhance productivity and in turn improve the daily lifestyle of citizens.
The candidate will be working on key initiatives and projects with internal or external partners. He will be required to gather requirements from project partners through discussions and correspondence. He will develop, design and implement research prototypes and test-bed systems to achieve project requirements and targets. The candidate is also required to showcase the centres analytics capabilities at events and assist other researchers to collect and extract relevant data for research purposes.
Requirements
* Bachelor/Master Degree in Computer Science or relevant disciplines
* Good knowledge of Databases, Data Mining, Distributed Computing, Operating Systems
* Proficient in at least one or more of these programming languages: Java, Python, C#, C++, C
* Strong interest in human computer interaction and visualization is an added advantage
* Self-motivated and able to carry out tasks independently
* Excellent team player and possess strong inter-personal skills
(a) Urban and Community Liveability, (b) Jobs and Skills Intelligence and
(c) Personalised Urban Mobility
Research Fellow
(Urban Computing, Human Computer Interaction, Visualisation)
The candidate will work in the areas of Urban Computing, Human Computer Interaction, and Visualisation which aims to enhance productivity and in turn improve the daily lifestyle of citizens.
The Research Fellow will work with faculty researchers on research topics in the urban/social computing, smart cities and consumer business domains, namely Data and Text Mining, Machine Learning, Deep Learning, Crowdsourcing, Recommender Systems, Social-Urban Sensing and Big Data Infrastructure.
The candidate is required to design research methodologies and develop algorithms and models. He will also be required to design and conduct experiments, and implement applications, tools and systems. The candidate will also assist to develop analytics capabilities in big data infrastructure and conduct data science studies.
Requirements
* PhD in Computer Science or related disciplines
* Good knowledge in relevant research topics and possess related research skills
* Proficient in at least one or more of these programming languages: Java, Python, C#, C++ and C
* Strong interest in human computer interaction and visualization is an added advantage
* Self-motivated and able to carry out tasks independently
* Excellent team player and possess strong inter-personal skills
* Analytical and meticulous with attention to details
(d) Smart Consumption and Healthy Lifestyle
Research Engineer
(Artificial Intelligence, Deep Learning and Machine Learning)
The candidate will work in the area of Artificial Intelligence, Deep Learning and Machine Learning which aims to aid citizens to adopt a healthy lifestyle.
The candidate will be working on key initiatives and projects with internal or external partners. He will be required to gather requirements from project partners through discussions and correspondence. He will develop, design and implement research prototypes and test-bed systems to achieve project requirements and targets. The candidate is also required to showcase the centres analytics capabilities at events and assist other researchers to collect and extract relevant data for research purposes.
Requirements
* Bachelor/Master Degree in Computer Science or relevant disciplines
* Good knowledge of Databases, Data Mining, Distributed Computing, Operating Systems
* Proficient in at least one or more of these programming languages: Java, Python, C#, C++, C
* Strong interest in the AI, Deep Learning and Machine Learning field is an added advantage
* Self-motivated and able to carry out tasks independently
* Excellent team player and possess strong inter-personal skills
(d) Smart Consumption and Healthy Lifestyle
Research Fellow/ Scientist
(Artificial Intelligence, Deep Learning and Machine Learning)
The candidate will work in the area of Artificial Intelligence (AI), Deep Learning and Machine Learning which aims to aid citizens to understand demographics and adopt a healthy lifestyle.
The Research Fellow will work with faculty researchers on research topics in the urban/social computing, smart cities and consumer business domains, namely Data and Text Mining, Machine Learning, Deep Learning, Crowdsourcing, Recommender Systems, Social-Urban Sensing and Big Data Infrastructure.
The candidate is required to design research methodologies and develop algorithms and models. He will design and conduct experiments and implement applications, tools and systems. The candidate will also assist to develop analytics capabilities in big data infrastructure and conduct data science studies.
Requirements
* PhD in Computer Science or related disciplines
* Good knowledge in relevant research topics and possess related research skills
* Proficient in at least one or more of these programming languages: Java, Python, C#, C++ and C
* Strong interest in the AI, Deep Learning and Machine Learning field is an added advantage
* Self-motivated and able to carry out tasks independently
* Excellent team player and possess strong inter-personal skills
* Analytical and meticulous with attention to details
Page 1 of 7
_______________________________________________
Please do not post msgs that are not relevant to the database community at large. Go to www.cs.wisc.edu/dbworld for guidelines and posting forms.
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LARC conducts research on urban and social sensing, social-physical analytics and social activation that enable a society to become (i) personalized, for improving peoples lifestyle and well-being, and (ii) participatory, for getting people to perform tasks for public good.
LARC has its research projects covering four important application domains, namely:
a) Urban and Community Livability,
b) Jobs and Skills Intelligence,
c) Personalised Urban Mobility, and
d) Smart Consumption and Healthy Lifestyle
We have vacancy for the following positions:-
- Research Engineer (Crowdsourcing)
- Research Fellow (Crowdsourcing)
- Research Engineer (Urban Computing, Human Computer Interaction, and Visualisation)
- Research Fellow (Urban Computing, Human Computer Interaction, Visualisation)
- Research Fellow/ Scientist (Artificial Intelligence, Deep Learning and Machine Learning)
Please refer to the Job Descriptions attached.
Contact Us
For interested candidates, please send in your resume and indicate the position you are applying to:
Email address: ***@smu.edu.sg
You are welcome to share this opportunity with your friends. Thank you!
c) Personalised Urban Mobility
Research Engineer (Crowdsourcing)
The candidate will work in the area of Crowdsourcing which aims to improve productivity and develop technologies to harness behavior insights.
The candidate will be working on key initiatives and projects with internal or external partners. He will be required to gather requirements from project partners through discussions and correspondence. He will develop, design and implement research prototypes and test-bed systems to achieve project requirements and targets. The candidate is also required to showcase the centres analytics capabilities at events and assist other researchers to collect and extract relevant data for research purposes.
Requirements
* Bachelor/Master Degree in Computer Science or relevant disciplines
* Good knowledge of Databases, Data Mining, Distributed Computing, Operating Systems
* Proficient in at least one or more of these programming languages: Java, Python, C#, C++, C
* Prior experience in mobile sensing, trajectory planning and human behavioral analytics is an added advantage
* Self-motivated and able to carry out tasks independently
* Excellent team player and possess strong inter-personal skills
c) Personalised Urban Mobility
Research Fellow
(Crowdsourcing)
The candidate will work in the area of Crowdsourcing which aims to improve productivity and develop technologies to harness behavior insights.
The Research Fellow will work with faculty researchers on research topics in the urban/social computing, smart cities and consumer business domains, namely Data and Text Mining, Machine Learning, Deep Learning, Crowdsourcing, Recommender Systems, Social-Urban Sensing and Big Data Infrastructure.
The candidate is required to design research methodologies and develop algorithms and models. He will also be required to design and conduct experiments, and implement applications, tools and systems. The candidate will also assist to develop analytics capabilities in big data infrastructure and conduct data science studies.
Requirements
* PhD in Computer Science or related disciplines
* Good knowledge in relevant research topics and possess related research skills
* Proficient in at least one or more of these programming languages: Java, Python, C#, C++ and C
* Prior experience in mobile sensing, trajectory planning and human behavioral analytics is an added advantage
* Self-motivated and able to carry out tasks independently
* Excellent team player and possess strong inter-personal skills
* Analytical and meticulous with attention to details
a) Urban and Community Liveability, (b) Jobs and Skills Intelligence and
(c) Personalised Urban Mobility
Research Engineer
(Urban Computing, Human Computer Interaction, and Visualisation)
The candidate will work in the areas of Urban Computing, Human Computer Interaction, and Visualisation which aims to enhance productivity and in turn improve the daily lifestyle of citizens.
The candidate will be working on key initiatives and projects with internal or external partners. He will be required to gather requirements from project partners through discussions and correspondence. He will develop, design and implement research prototypes and test-bed systems to achieve project requirements and targets. The candidate is also required to showcase the centres analytics capabilities at events and assist other researchers to collect and extract relevant data for research purposes.
Requirements
* Bachelor/Master Degree in Computer Science or relevant disciplines
* Good knowledge of Databases, Data Mining, Distributed Computing, Operating Systems
* Proficient in at least one or more of these programming languages: Java, Python, C#, C++, C
* Strong interest in human computer interaction and visualization is an added advantage
* Self-motivated and able to carry out tasks independently
* Excellent team player and possess strong inter-personal skills
(a) Urban and Community Liveability, (b) Jobs and Skills Intelligence and
(c) Personalised Urban Mobility
Research Fellow
(Urban Computing, Human Computer Interaction, Visualisation)
The candidate will work in the areas of Urban Computing, Human Computer Interaction, and Visualisation which aims to enhance productivity and in turn improve the daily lifestyle of citizens.
The Research Fellow will work with faculty researchers on research topics in the urban/social computing, smart cities and consumer business domains, namely Data and Text Mining, Machine Learning, Deep Learning, Crowdsourcing, Recommender Systems, Social-Urban Sensing and Big Data Infrastructure.
The candidate is required to design research methodologies and develop algorithms and models. He will also be required to design and conduct experiments, and implement applications, tools and systems. The candidate will also assist to develop analytics capabilities in big data infrastructure and conduct data science studies.
Requirements
* PhD in Computer Science or related disciplines
* Good knowledge in relevant research topics and possess related research skills
* Proficient in at least one or more of these programming languages: Java, Python, C#, C++ and C
* Strong interest in human computer interaction and visualization is an added advantage
* Self-motivated and able to carry out tasks independently
* Excellent team player and possess strong inter-personal skills
* Analytical and meticulous with attention to details
(d) Smart Consumption and Healthy Lifestyle
Research Engineer
(Artificial Intelligence, Deep Learning and Machine Learning)
The candidate will work in the area of Artificial Intelligence, Deep Learning and Machine Learning which aims to aid citizens to adopt a healthy lifestyle.
The candidate will be working on key initiatives and projects with internal or external partners. He will be required to gather requirements from project partners through discussions and correspondence. He will develop, design and implement research prototypes and test-bed systems to achieve project requirements and targets. The candidate is also required to showcase the centres analytics capabilities at events and assist other researchers to collect and extract relevant data for research purposes.
Requirements
* Bachelor/Master Degree in Computer Science or relevant disciplines
* Good knowledge of Databases, Data Mining, Distributed Computing, Operating Systems
* Proficient in at least one or more of these programming languages: Java, Python, C#, C++, C
* Strong interest in the AI, Deep Learning and Machine Learning field is an added advantage
* Self-motivated and able to carry out tasks independently
* Excellent team player and possess strong inter-personal skills
(d) Smart Consumption and Healthy Lifestyle
Research Fellow/ Scientist
(Artificial Intelligence, Deep Learning and Machine Learning)
The candidate will work in the area of Artificial Intelligence (AI), Deep Learning and Machine Learning which aims to aid citizens to understand demographics and adopt a healthy lifestyle.
The Research Fellow will work with faculty researchers on research topics in the urban/social computing, smart cities and consumer business domains, namely Data and Text Mining, Machine Learning, Deep Learning, Crowdsourcing, Recommender Systems, Social-Urban Sensing and Big Data Infrastructure.
The candidate is required to design research methodologies and develop algorithms and models. He will design and conduct experiments and implement applications, tools and systems. The candidate will also assist to develop analytics capabilities in big data infrastructure and conduct data science studies.
Requirements
* PhD in Computer Science or related disciplines
* Good knowledge in relevant research topics and possess related research skills
* Proficient in at least one or more of these programming languages: Java, Python, C#, C++ and C
* Strong interest in the AI, Deep Learning and Machine Learning field is an added advantage
* Self-motivated and able to carry out tasks independently
* Excellent team player and possess strong inter-personal skills
* Analytical and meticulous with attention to details
Page 1 of 7
_______________________________________________
Please do not post msgs that are not relevant to the database community at large. Go to www.cs.wisc.edu/dbworld for guidelines and posting forms.
To unsubscribe, go to https://lists.cs.wisc.edu/mailman/listinfo/dbworld