Ocean Mineral Singapore Pte. Ltd.

2019 [RE-ADVERTISEMENT]  

The ISA has developed an online portal for contractor training applications and will be phasing out the manual forms in the next few months. Applicants are encouraged to use the online portal (linked to the Apply Now button below) to submit applications together with a copy of your passport photo, the signed nomination form indicating preference for either the geological or environmental programme, degree/certificate and résumé.

APPLY NOW


Ocean Mineral Singapore Pte. Ltd. (OMS), in accordance with its contract for exploration for polymetallic nodules with the International Seabed Authority, is offering ten (10) three-month internships to candidates from developing States under its 2019 Training Programme. OMS will partner with the National University of Singapore (NUS) to provide trainees with a wide range of knowledge and hands-on experience related to deep sea mining with focus on the following areas:

  1. Assessing the distribution and abundance if polymetallic nodules from seafloor photographs in the Clarion-Clipperton Zone (CCZ).
  2. Informative path planning for nodule collector systems
  3. Adaptive path planning framework for polymetallic nodule exploration 
  4. Deep sea biological material handling and assessment 

The background and requirements are as follows:

  1. One (1) internship in April 2019 on assessing the distribution and abundance of polymetallic nodules from seafloor photographs in the CCZ.

Distribution characteristics of mineral resources such as polymetallic nodules (PMN) are often influenced by local seafloor features such as the topographic undulations and sediment thickness. Photographic data allows quantifying PMN abundance at spatial scales from cm to sq. km. Deep tow systems and AUVs can acquire high-resolution imagery that allow detecting individual nodules and measure their sizes. Detecting nodules requires segmentation of nodule pixels from pixels showing sediment background. A nodule detection engine has been developed to automate this task and the aim of this project will be to improve the performance of the engine by employing advanced computer vision tools on the photographic data captured from the CCZ.

Candidates must meet the following requirements:

  1. Education: Master’s (Good) or at least a Bachelor’s (Upper Second Class Hons) degree or equivalent in Computer Science or Electrical Engineering;
  2. A strong interest in doing research on this topic;
  3. Language: Proficiency in English (both verbal and written);
  4. Other: Knowledge of Python/Matlab with some background in basic statistics is preferred. 

_____________________________

2. One (1) internship in April 2019 focused on informative path planning for nodule collector system.

PMN in the open oceans have received significant attention in the recent years due to presence of several economically significant elements such as nickel, copper, cobalt and molybdenum in them. Factors such as nodule grade, abundance and their accessibility, have generated significant interest in the northeastern equatorial Pacific region known as the Clarion-Clipperton fracture zone (CCFZ).

Following exploration studies, considering topographic undulations and mineral resources estimates, an area is selected for bulk mining operation. However, performing conventional lawn mower patterns for nodule collection may be ineffective as the distribution of PMN is by no means uniform. Furthermore, the terrain gradients may be too steep for the nodule collector systems. In this work we suggest to build an informative theoretic framework, referred to as informative path planning (IPP) for determining the trajectory of the nodule collector systems. The IPP algorithm would perform the task of smartly planning the path for a nodule collector system with constraints on terrain gradients and nodule abundance cut-off.

Candidates must meet the following requirements:

  1. Education: Master’s (Good) or at least a Bachelor’s (Upper Second Class Hons) degree or equivalent in Computer Science or Electrical Engineering;
  2. A strong interest in doing research on this topic;
  3. Language: Proficiency in English (both verbal and written);
  4. Other: Knowledge of Python/Matlab with a strong mathematical background is preferred. 

_____________________________

3. One (1) internship in July 2019 focused on adaptive path planning framework for PMN exploration.

Estimating the distribution of PMN through conventional AUV based survey methods is tedious and exhaustive. Recently, an adaptive path planning framework was developed for estimating the nodule density over a survey area. This framework provides the coordination between a team of AUV’s to get an approximation of the nodule density field within limited amount of time and energy. However, this framework is non-deterministic and some of its input parameters are as follows: starting location, number of robots, maximum mission time. Therefore, in order to understand the effects of these input parameters on the framework’s performance, Monte Carlo (MC) experiments need to be carried out as part of this project. In these MC experiments, a few of the input parameters of the framework would be changed at each iteration and the corresponding performance of the algorithm will be recorded. Finally, the results of these experiments will reflect the robustness of the developed framework.

Candidates must meet the following requirements:

  1. Education: Master’s (Good) or at least a Bachelor’s (Upper Second Class Hons) degree or equivalent in Computer Science or Electrical Engineering;
  2. A strong interest in doing research on this topic;
  3. Language: Proficiency in English (both verbal and written);
  4. Other: Knowledge of Python/Matlab with some background in basic statistics is preferred.

_____________________________

4. Seven (7) internships focused on deep sea biological material handling and assessment divided as follows:  three (3) placements in April 2019; and two (2) placements each in July and October respectively

The principal objective of this training module is to familiarize interns to the deep-sea environment in the CCZ, with particular reference to its biological components, and their assessment in relation to impacts of nodule harvesting. Trainees, under the supervision of scientists involved in the exploration cruises, will gain first-hand knowledge and experience in the handling and analysis of samples. Interns will be involved in the sorting and identification process for selected groups of deep-sea macrofauna and meiofauna.

Candidates must meet the following requirements:

  1. Education: A recognized university degree in Zoology, Marine Biology, or equivalent;
  2. Language: Proficiency in both written and spoken English; and
  3. Other: An eye for detail and must be prepared for microscopy work including sorting and dissecting small invertebrates

_____________________________

Trainees will be required to sign a confidentiality agreement with OMS. Additionally, the trainees, together with an appointed supervisor, will work to complete an On-the-Job Training Logbook to ensure the programme structure aligns itself as best as possible towards the training and capacity developmental needs of the participants' countries of origin.

Upon completion of the training, the trainees, assisted by their supervisors, are expected to submit a report on the outcomes of their training to OMS and then to the Authority.

Cost Detail

OMS will cover all relevant costs associated with the training such as tuition fees, round-trip airline ticket (economy class), local ground transportation, and accommodation for the period of the training programme.

One of the Voluntary Commitments made by the ISA at the UN Ocean Conference 2017 was "Enhancing the role of women in marine scientific research through capacity building"(#OceanAction15467). We therefore strongly encourage suitably qualified women to apply for these training opportunities.

Applications should be submitted by email, in one of the official languages of the International Seabed Authority to training@isa.org.jm  by the 4 January 2019 deadline either through:

  • the online training portal.  Users applying through the online portal (see above), must remember to upload a copy of a passport photo, the signed nomination form indicating the programme of preference, degree/certificate and résumé OR
  •  via email,in one of the official languages of the Authority, to training@isa.org.jm using the forms below.

Applications must be accompanied by:

  1. Application form (docx | pdf) to be completed by the applicant (Please indicate internship of choice on form) ;
  2.  Nomination form (docx | pdf) to be completed by the institution or governmental department; 
  3. Copy of degree certificate;
  4. Proof of sufficient knowledge of English
  5. Copy of CV or Résumé
REISSUED 19 NOVEMBER 2018