Faculty Position in Institute of Applied Data Analytics University Brunei Darussalam

Faculty Position in Institute of Applied Data Analytics (IADA) Over the past decade Universiti Brunei Darussalam has been on an exciting progressive journey of change, from what is fundamentally a teaching university to a first class international university of excellence in teaching and research. In education, our undergraduate GenNEXT degree programme emphasises broad-based learning, programmes that cross disciplinary boundaries and real world experiential learning in the form of the Discovery Year. The curriculum ensures that students are exposed to essential life skills such as critical thinking, reasoning, communication, quantitative analysis and with both national and global perspectives. The Discovery Year component in which students spend one year of their four year programme outside the university, has proven very successful. It has also resulted in a very multi-cultural campus, with international students accounting for almost twenty percent of our student population. The research funding and facilities at UBD have developed tremendously and consequently lead to a significant increase in graduate students and collaborators coming to UBD to undertake research. With the massive academic mobility including increased joint academic programmes, research collaborations and networks such as iCUBE and Borneo Studies Network (BSN), UBD’s active partnerships with institutions worldwide have contributed to the tremendous improvement in campus life, teaching and research output at the university. The Institute of Applied of Applied Data Analytics (IADA) in UBD is looking to expand its research capabilities in the areas of Bioinformatics, Natural Language Processing and Agriculture. We strive to generate high research impact and achieve global research excellence through collaborative work with international partners. The Institute of Applied of Applied Data Analytics (IADA) invite highly qualified candidates to apply for a faculty position in the following areas of specialisation. Professor \| Associate Professor \| Senior Assistant Professor\| Assistant Professor \| Lecturer IADA006 Genomics Data Analytics The Institute of Applied Data Analytics at Universiti Brunei Darussalam is seeking a talented and ambitious academic specializing in data analytics in genomic research to lead and impact state-of-the-art research in this field. The institute is looking to develop novel genomic analytics in medicines, by conducting research using large-scale human health databases, cutting-edge informatics platforms, breakthrough understanding of biological pathways, functional genomics capabilities built upon rapid progress in gene editing, and leading industry-academia partnerships. The applicant must have a solid working knowledge in computational biology and genetics, with strong programming and computational background. Demonstrated experience in genomics data analytics and managing with large volumes of genetic and genomic data and results in a distributed database and analytical environment is highly desired. He/she should hold a PhD in Bioinformatics, Computational Biology, Statistics, Mathematics, Computer Science or any other quantitative discipline and have a good publication track record. Preference will be given to those with experience with big data applications and cloud computing for genomics data analytics. Successful candidates for this position will generate research ideas, develop solutions to complex genomic analytics problems, execute research projects in close collaboration with others, publish their research advances in top tier conferences and journals, and demonstrate leadership in the greater professional community. Prior teaching experience of advanced-level undergraduate courses related to bioinformatics and data analytics will be an advantage. The successful applicant will be expected to teach undergraduate and/or graduate level courses in the data analytics or computer science programmes. He or she will supervise or co-supervised final year and postgraduate students from the institute as well as from different faculties in projects related to genomics data analytics. The successful applicant will be expected to develop new module(s) in data analytics and big data. In addition, successful applicants are expected to provide administrative support to the institute. IADA007 High Performance Computing The Institute of Applied Data Analytics at Universiti Brunei Darussalam is seeking a talented and ambitious academic to develop, lead and impact state-of-the-art research in high performance and cluster computing. The applicant should hold a PhD in Computer Engineering, Computer Science or a related discipline; and have a strong publication track record. Demonstrated experience with Redhat/CentOS Linux administration, batch HPC cluster environment, high-speed local area networking system, databases, parallel file systems and storage and archival storage and tape libraries is most desired. Other desired qualifications include knowledge in deployment of new technologies such as GPU’s, Hadoop and cloud computing, in deployment and optimisation of resource management and scheduling software and policies. The successful candidate for this position will generate research ideas, develop solutions to complex HPC problems, execute research projects in close collaboration with others, publish their research advances in top tier conferences and journals, and demonstrate leadership in the greater professional community. Prior teaching experience of advanced-level undergraduate courses in HPC, computer networks, cloud, distributed and/or parallel computing, will be an advantage. The successful applicant will be expected to teach undergraduate and/or graduate level modules in the Data Analytics or Computer Science programmes. He or she will supervise or co-supervised final year and postgraduate students from the institute as well as from different faculties in projects related to HPC and Computer Science. The successful applicant will be expected to develop new module(s) in HPC-related areas. In addition, successful applicants are expected to provide administrative support to the institute. IADA008 Natural Language Processing The Institute of Applied Data Analytics at Universiti Brunei Darussalam seeks a Computer Scientist who is talented and ambitious to grow and impact state-of-the-art natural language processing (NLP) research. Demonstrated research experience in NLP programming; linguistics, text mining/ data mining with experience with ontologies, taxonomies, and semantic relation frameworks as well as using MapReduce, Pig, and/or Hive, Python and/or R are most desired. Preference will be given to those with proficiency in scripting, querying and analytics tools: Python, SQL, or similar tools, experience working with speech and/or language date. Other preferred qualifications include knowledge with deep learning techniques such as CNN and RNN. The applicant should hold a PhD degree in Computer Science, AI, Machine Learning, or related technical field. The applicant must have a proven research record of high quality at international level in the area of big data architecture and analytics with experience of research collaborations at both national and international level. Prior teaching experience of advanced-level undergraduate courses in big data systems and technologies will be an advantage. The successful candidate for this position will generate research ideas, develop solutions to complex NLP problems, execute research projects in close collaboration with others, publish their research advances in top tier conferences and journals, and demonstrate leadership in the greater professional community. He/she will be expected to teach undergraduate and/or graduate level courses in the Data Analytics or Computer Science programmes. He/she will supervise or co-supervised final year and postgraduate students from the institute as well as from different faculties in projects related to big data and NLP. He/she will be expected to develop new module(s) in NLP and/or Big Data or other related areas. The successful applicant will also be expected to provide administrative support to the institute. IADA009 Big Data Analytics for Agriculture The Institute of Applied Data Analytics at Universiti Brunei Darussalam seeks an academic who is talented and ambitious to lead and impact state-of-the-art research in data analytics in the agriculture domain. The applicant must have a proven research record of high quality at international level, solving issues such as determining the suitability (now and in the future given impacts of climate change) of growing different types of crops across different geographies, using local agronomic data and satellite imagery to optimize farm operations and forecast yield, with experience of research collaborations at both national and international level. The applicant must have a good working knowledge in agriculture or smart farming, with strong programming and computational background. Demonstrated experience in data analytics of agriculture-related data and managing with large volumes of varying agriculture data and results in a distributed database and analytical environment is highly desired. He/she should hold a PhD in Statistics, Mathematics, Computer Science or any other quantitative discipline and have a good publication track record. Preference will be given to those with experience with big data applications and cloud computing for data analytics in the agriculture domain. The successful candidate for this position will generate research ideas, develop solutions to complex agriculture analytics problems, execute research projects in close collaboration with others, publish their research advances in top tier conferences and journals, and demonstrate leadership in the greater professional community. Prior teaching experience of advanced-level undergraduate courses in related areas such as big data, agriculture analytics, and/or weather/climate analytics will be an advantage. The successful applicant will be expected to teach undergraduate and/or graduate level courses in the Data Analytics or Computer Science programme. He or she will supervise or co-supervised final year and postgraduate students from the institute as well as from different faculties in projects related to big data and agriculture analytics. The successful applicant will be expected to develop new module(s) relating to IOT and/or Big Data. The successful applicant will be expected to continue active research in the field of expertise and collaborate with existing members of relevant groups in UBD as well as external collaborators and to provide administrative support to the institute. APPLICATION SUBMISSION Completed this online application form together with copies of academic certificates and comprehensive curriculum vitae with the names and addresses of three referees should be uploaded to this application form. Online application form and information: https://ubd.qualtrics.com/jfe/form/SV_43kPE2tqgOmgAEl. Completed applications must reach us by 25 SEPTEMBER 2020. Only shortlisted candidates will be contacted and called for interview. For any inquiries, please contact Dr Daphne Teck Ching Lai at office.iada@ubd.edu.bn For more details on the benefits, visit http://www.ubd.edu.bn/about/career-opportunities/academic-positions/ If you apply for this position please say you saw it on Computeroxy

Faculty Position in Institute of Applied Data Analytics (IADA)

Over the past decade Universiti Brunei Darussalam has been on an exciting progressive journey of change, from what is fundamentally a teaching university to a first class international university of excellence in teaching and research.

In education, our undergraduate GenNEXT degree programme emphasises broad-based learning, programmes that cross disciplinary boundaries and real world experiential learning in the form of the Discovery Year. The curriculum ensures that students are exposed to essential life skills such as critical thinking, reasoning, communication, quantitative analysis and with both national and global perspectives. The Discovery Year component in which students spend one year of their four year programme outside the university, has proven very successful. It has also resulted in a very multi-cultural campus, with international students accounting for almost twenty percent of our student population.

The research funding and facilities at UBD have developed tremendously and consequently lead to a significant increase in graduate students and collaborators coming to UBD to undertake research. With the massive academic mobility including increased joint academic programmes, research collaborations and networks such as iCUBE and Borneo Studies Network (BSN), UBD’s active partnerships with institutions worldwide have contributed to the tremendous improvement in campus life, teaching and research output at the university.

The Institute of Applied of Applied Data Analytics (IADA) in UBD is looking to expand its research capabilities in the areas of Bioinformatics, Natural Language Processing and Agriculture. We strive to generate high research impact and achieve global research excellence through collaborative work with international partners.

The Institute of Applied of Applied Data Analytics (IADA) invite highly qualified candidates to apply for a faculty position in the following areas of specialisation.

Professor | Associate Professor | Senior Assistant Professor| Assistant Professor | Lecturer

IADA006 Genomics Data Analytics

The Institute of Applied Data Analytics at Universiti Brunei Darussalam is seeking a talented and ambitious academic specializing in data analytics in genomic research to lead and impact state-of-the-art research in this field. The institute is looking to develop novel genomic analytics in medicines, by conducting research using large-scale human health databases, cutting-edge informatics platforms, breakthrough understanding of biological pathways, functional genomics capabilities built upon rapid progress in gene editing, and leading industry-academia partnerships.

The applicant must have a solid working knowledge in computational biology and genetics, with strong programming and computational background. Demonstrated experience in genomics data analytics and managing with large volumes of genetic and genomic data and results in a distributed database and analytical environment is highly desired. He/she should hold a PhD in Bioinformatics, Computational Biology, Statistics, Mathematics, Computer Science or any other quantitative discipline and have a good publication track record. Preference will be given to those with experience with big data applications and cloud computing for genomics data analytics.

Successful candidates for this position will generate research ideas, develop solutions to complex genomic analytics problems, execute research projects in close collaboration with others, publish their research advances in top tier conferences and journals, and demonstrate leadership in the greater professional community.

Prior teaching experience of advanced-level undergraduate courses related to bioinformatics and data analytics will be an advantage. The successful applicant will be expected to teach undergraduate and/or graduate level courses in the data analytics or computer science programmes. He or she will supervise or co-supervised final year and postgraduate students from the institute as well as from different faculties in projects related to genomics data analytics. The successful applicant will be expected to develop new module(s) in data analytics and big data. In addition, successful applicants are expected to provide administrative support to the institute.

IADA007 High Performance Computing

The Institute of Applied Data Analytics at Universiti Brunei Darussalam is seeking a talented and ambitious academic to develop, lead and impact state-of-the-art research in high performance and cluster computing.

The applicant should hold a PhD in Computer Engineering, Computer Science or a related discipline; and have a strong publication track record. Demonstrated experience with Redhat/CentOS Linux administration, batch HPC cluster environment, high-speed local area networking system, databases, parallel file systems and storage and archival storage and tape libraries is most desired. Other desired qualifications include knowledge in deployment of new technologies such as GPU’s, Hadoop and cloud computing, in deployment and optimisation of resource management and scheduling software and policies.

The successful candidate for this position will generate research ideas, develop solutions to complex HPC problems, execute research projects in close collaboration with others, publish their research advances in top tier conferences and journals, and demonstrate leadership in the greater professional community.

Prior teaching experience of advanced-level undergraduate courses in HPC, computer networks, cloud, distributed and/or parallel computing, will be an advantage. The successful applicant will be expected to teach undergraduate and/or graduate level modules in the Data Analytics or Computer Science programmes. He or she will supervise or co-supervised final year and postgraduate students from the institute as well as from different faculties in projects related to HPC and Computer Science. The successful applicant will be expected to develop new module(s) in HPC-related areas. In addition, successful applicants are expected to provide administrative support to the institute.

IADA008 Natural Language Processing

The Institute of Applied Data Analytics at Universiti Brunei Darussalam seeks a Computer Scientist who is talented and ambitious to grow and impact state-of-the-art natural language processing (NLP) research.

Demonstrated research experience in NLP programming; linguistics, text mining/ data mining with experience with ontologies, taxonomies, and semantic relation frameworks as well as using MapReduce, Pig, and/or Hive, Python and/or R are most desired. Preference will be given to those with proficiency in scripting, querying and analytics tools: Python, SQL, or similar tools, experience working with speech and/or language date. Other preferred qualifications include knowledge with deep learning techniques such as CNN and RNN.

The applicant should hold a PhD degree in Computer Science, AI, Machine Learning, or related technical field. The applicant must have a proven research record of high quality at international level in the area of big data architecture and analytics with experience of research collaborations at both national and international level. Prior teaching experience of advanced-level undergraduate courses in big data systems and technologies will be an advantage.

The successful candidate for this position will generate research ideas, develop solutions to complex NLP problems, execute research projects in close collaboration with others, publish their research advances in top tier conferences and journals, and demonstrate leadership in the greater professional community. He/she will be expected to teach undergraduate and/or graduate level courses in the Data Analytics or Computer Science programmes. He/she will supervise or co-supervised final year and postgraduate students from the institute as well as from different faculties in projects related to big data and NLP. He/she will be expected to develop new module(s) in NLP and/or Big Data or other related areas. The successful applicant will also be expected to provide administrative support to the institute.

IADA009 Big Data Analytics for Agriculture

The Institute of Applied Data Analytics at Universiti Brunei Darussalam seeks an academic who is talented and ambitious to lead and impact state-of-the-art research in data analytics in the agriculture domain.

The applicant must have a proven research record of high quality at international level, solving issues such as determining the suitability (now and in the future given impacts of climate change) of growing different types of crops across different geographies, using local agronomic data and satellite imagery to optimize farm operations and forecast yield, with experience of research collaborations at both national and international level.

The applicant must have a good working knowledge in agriculture or smart farming, with strong programming and computational background. Demonstrated experience in data analytics of agriculture-related data and managing with large volumes of varying agriculture data and results in a distributed database and analytical environment is highly desired. He/she should hold a PhD in Statistics, Mathematics, Computer Science or any other quantitative discipline and have a good publication track record. Preference will be given to those with experience with big data applications and cloud computing for data analytics in the agriculture domain.

The successful candidate for this position will generate research ideas, develop solutions to complex agriculture analytics problems, execute research projects in close collaboration with others, publish their research advances in top tier conferences and journals, and demonstrate leadership in the greater professional community.

Prior teaching experience of advanced-level undergraduate courses in related areas such as big data, agriculture analytics, and/or weather/climate analytics will be an advantage. The successful applicant will be expected to teach undergraduate and/or graduate level courses in the Data Analytics or Computer Science programme. He or she will supervise or co-supervised final year and postgraduate students from the institute as well as from different faculties in projects related to big data and agriculture analytics. The successful applicant will be expected to develop new module(s) relating to IOT and/or Big Data. The successful applicant will be expected to continue active research in the field of expertise and collaborate with existing members of relevant groups in UBD as well as external collaborators and to provide administrative support to the institute.

APPLICATION SUBMISSION

Completed this online application form together with copies of academic certificates and comprehensive curriculum vitae with the names and addresses of three referees should be uploaded to this application form.

Online application form and information: https://ubd.qualtrics.com/jfe/form/SV_43kPE2tqgOmgAEl.

Completed applications must reach us by 25 SEPTEMBER 2020.

Only shortlisted candidates will be contacted and called for interview.

For any inquiries, please contact Dr Daphne Teck Ching Lai at office.iada@ubd.edu.bn

For more details on the benefits, visit http://www.ubd.edu.bn/about/career-opportunities/academic-positions/

If you apply for this position please say you saw it on Computeroxy