The Singapore Centre for Environmental Life Sciences Engineering (SCELSE) is a unique interdisciplinary Research Centre of Excellence (RCE), funded by National Research Foundation, Ministry of Education, Nanyang Technological University (NTU) and National University of Singapore (NUS). Hosted by NTU in partnership with NUS, SCELSE is linking new insights from the life sciences with expertise from emerging technologies in engineering and natural sciences to understand, harness and control microbial biofilm communities and microbiomes. This is enabled through its strengths in analysis of complex microbiomes, using advanced computational biology and cutting-edge facilities in genome sequencing, bio-imaging and bioreactor processes.

SCELSE is seeking to hire a Manager, Business Data Operations Management provide day-to-day facilities management and the data centre in SCELSE through ongoing end-user support as well as monitoring of HPC resources, including its 13,000 plus core compute servers and over 4 PB of high-capacity storage. The Business Data Operations manager is also responsible for the yearly performed external audit, as well as the key contact person for the SCELSE NSCC (National Super Computing Center) partnership.

In addition, the role will additionally ensure smooth operation of the SCELSE HPC through infrastructure planning, facilities budgeting, and regular review of physical and logical security of the SCELSE HPC with continued partnership with NTU-HPCC and NTU-CITS.

The role will provide direct support for the SCELSE-Sequencing Facility to meet the needs of their high-throughput sequencing machines, including integration of new lab machines, set-up and troubleshooting of network communications and maintenance and implementation of data processing workflows as necessary.

Responsibilities

• Manage the data centre and facility that encompass SCELSE-HPC compute hardware, ultra-low latency network, job scheduler, and high-performance storage
• Ensure smooth operations of SCELSE’s High Performance Computing between dual data centers (on-premises and hosted NTU site) including regular checks of environmental controls in line with ODFM and CITS safety and security measures; serve as primary contact point for all HPC facilities-related issues
• Conduct infrastructure planning including future upgrades to hardware, firmware, and software, of compute, high-capacity storage, and all accessory servers
• Regular planning for scheduled maintenance and capacity management in line with established Service Level Agreement (SLA) between vendors
• Manage all purchasing and procurement for SCELSE-HPC including annual 5-year budget review and planning
• Assets life-cycle management including annual hardware audit and appropriate decommissioning
• Preparation of quarterly, annual reports as requested by SCELSE-Finance and Procurement
• Oversee the security management and administration by adhering NTU base level security policies when deploying systems and that security vulnerabilities are resolved in a timely manner
• Participate in annual IT auditing and security exercises and review yearly on all SCELSE-HPC facility security protocol and policies handbook(s)
• Provide technical support to SCELSE-HPC science research community and to sequencing facility for support of instruments for connection to shared network drives and storage, including liaising with SCELSE-Sequencing Facility Head(s) and appropriate vendors
• Performance tuning, profiling and optimization for libraries, open source and commercial applications
• Data integration and pipeline and services 
• Support researchers in depositing data in public data repository as fit for their publication or grant needs
• Process-flow re-engineering for scientific applications and necessary benchmarking
• Managing of appropriate data access controls and user level sharing
• Ensure proper integration of all new sequencers and lab machines to the facility’s network and storage, including integration to automated processing pipeline(s)
• Assistance with transferring and sharing completed sequencing results and project data

Requirements

• Recognized Master’s Degree in Computer Engineering, Sciences or equivalent. Bachelor degree with relevant 10+ years working experiences with Linux and Open-Source Software will be considered
• At least 10 years of good working experience in HPC, including administration of a production cluster environment
• Experience in parallel programming and providing support for parallel high computing applications and high-performance parallel file system
• Has experience working with PBS Professional Scheduler or Slurm Workload Manager, as well as complex private, internal, and DMZ networks
• Experience in Linux/UNIX and open-source software stack in a multi-vendor environment, with the installation and management in a Linux-based HPC environment
• Experience in common scripting and programming languages and ANSI/GNU C, Python, Perl, or others
• Experience in scientific/engineering packages such as in life science, visualization, modelling and other areas in science and engineering is preferred
• Project management experience with demonstrated ability to lead planning meetings, ensuring design and solution reviews take place
• Good knowledge of working with both analyzing and transfer of large datasets, including ACL, data integrity, and transfer security
• Familiar with genome sequencing a plus
• Experience with relational databases, application development, and/or virtual machines, a plus
• Good self-motivated team player
• Strong analytical and problem-solving skills
• Good planning, organizational and time management skills
• Good interpersonal and communication skills - is able to interact with faculty members and researchers
• Meticulous and keen eye for details for numbers and procedures and reports

To find out more about SCELSE, visit us on Facebook, Instagram, LinkedIn, Twitter and our website: http://scelse.sg.

The Earth Observatory of Singapore (EOS) at Nanyang Technological University seeks a Project Officer to manage research data, code, and outputs for the ‘Integrating Volcano and Earthquake Science and Technology (InVEST) in Southeast Asia’ project, a 5-year project that aims to provide a holistic understanding of regional tectonics, volcanoes, the linkages between the two, and their cascading hazards and impacts in Singapore and Southeast Asia.  

The candidate will work under the supervision of Asst Prof FENG Lujia, and the primary job scope is to support building a 3D fault model for the Southeast Asian Ring of Fire. However, the candidate will also collaborate with many InVEST PIs, staff, and students to support their research and ensure InVEST research data, code, and outputs are properly archived. We will be hiring many research staff and students to work on this project, so it promises to be a very exciting time to join our team!

Key Responsibilities:

• Search and compile publicly available geological, geophysical, and seismic data for Southeast Asia

• Locate, compile, and digitize (if necessary) EOS’s own geological and geophysical data such as historic maps and LiDAR images

• Communicate with relevant national and international agencies to obtain non-public geological, geophysical, and seismic data for Southeast Asia

• Integrate research outputs from all InVEST components with existing data to build a 3D geological database for the Southeast Asian Ring of Fire

• Participate and contribute to project research and management meetings

• Support other data integration and compilation for InVEST research

• Archive InVEST research data and outputs in NTU digital repository and manage repository for open-source software and code used in the project

Job Requirements:

• BSc in Geography, Geographical Information System, Computer Science, Remote Sensing, Geophysics, Geomatics, Geodesy, Electrical Engineering, Natural Hazards, Environmental Science, or related fields

• Strong skills in data management and GIS software

• Experience with geospatial data sets

• Excellent written and verbal communications skills

• Able to work both independently and collaboratively, with a strong team spirit

Interested applicants should submit a cover letter, CV, and statement of interests.

We regret that only successful candidates will be notified.

The University Advancement Office (UAO) supports NTU’s giving mission by fostering meaningful relationships and strategic partnerships with philanthropists, alumni, business community partners, corporations, foundations, and friends that result in goodwill and philanthropy towards education and research that underpin a shared sustainable future.

Responsibilities:

The Senior Executive, Information Management (IM) will work with the IM team to build and maintain an effective database management system, serving as a foundation for supporting alumni and donor engagement initiatives across NTU. Other key responsibilities include:

• Monitoring the success rate of marketing campaigns.

• Delivering accurate and meaningful data to support comprehensive analyses and research efforts.

• Assisting in the maintenance of systems and software under the purview of both UAO and the Office of Alumni Engagement.

• Providing training to system end users.

• Gathering system requirements to meet new and changing business needs.

Requirements:

Experienced working with database management systems or databases. Proficiency in Chinese is essential as the candidate is expected to review database records in Chinese. Possess good administrative and communication skills.   

Experience in using fundraising software and an advance user of Microsoft applications. Possess strong interpersonal, managerial and communication skills with the ability to interact effectively with internal stakeholders of all levels. Technically savvy and ability to multi-task and meet tight deadlines.

Applicants should have at least a Diploma in Information Technology (or equivalent certification in a related domain), with a minimum of two years’ working experience in customer service, and two years of relevant and related working experience in a database-related role.