Project Associate-I Post in CSIR NIO via Direct Recruitment
Event Status : Result Declared for Project Associate-I Post
Timeline
Important Dates
Result Available | 16/05/2023 |
Date of Interview | 24/04/2023, 26/04/2023, 02/05/2023 |
Application Closing Date | 16/04/2023 |
Application Opening Date | 08/04/2023 |
Other Important Information
Appointment Type | Direct Recruitment, Examination |
Application Submission Method | Online |
Age Limit | 18-35 |
Qualification Required | Postgraduate |
Total Vacancies | 3 |
Advertisement Number | NIO/HRM/23-24/01 |
Location of Posting/Admission | Goa, India, 403706 |
Exam | CSIR NET, GATE, UGC NET |
Organisation Type | Educational Institution |
Place of Posting/Admission | Goa, India |
Website | https://www.nio.org/ |
Post Type | Contractual |
Salary | 25000 |
Work Experience | Yes |
Post Code | SSP3359/2420-23, SSP3445/2421-23, SSP3501/2423-23 |
Interview | Yes |
Note: This information is common for all posts. For details on specific posts, refer to the official notification.
Posts Released
Important Updates
Refer to the official notification for more details.
Application Summary
CSIR National Institute of Oceanography invites applications for the following posts via direct recruitment:
Post Name: Project Associate-I
Essential Qualification:
M.Sc Marine Science
M.Sc Marine Biology
MSc in Marine Science / Oceanography / Physical Oceanography
Desirable Qualification:
Six months of research experience in macrobenthos sampling, identification and data analyses. Knowledge of taxonomic identification of macrobenthic species.Field sample collection in the coastal/estuarine areas by boat/ trawler/cruise participation. Sample processing and identification of macrobenthic fauna to the lowest possible level. Data analysis and writing of reports.
Candidate having experience in marine biological sample (especially phytoplankton) collection.The selected candidate will have to carry out sample collection in the coastal areas by boat/trawler/cruise participation. Sample processing and analysis for identification of phytoplankton. Data analysis and writing of reports.
The candidate should have good knowledge in coastal processes, satellite image processing, programming, and Windows as well as Linux Operating System.Candidate will be engaged in field work for various data collection, processing, analysis, presentation, report writing, and R&D.
Application send via email to hrdg@nio.org
For more details related to eligibility criteria, fee, pattern, annexure, place of posting etc. refer to the attachments below.