Event Link

Click here

Event Description

CSIR National Chemical Laboratory invites applications for the following posts via direct recruitment :

Post Name : Project Associate-I

Essential Qualification : Masters Degree in Natural Sciences/MVSc or bachelor’s degree in Engineering or Technology from a recognised University or equivalent

Desirable : M.Sc (Physics/Materials Science/Chemistry) with strong foundation in solid state physics/chemistry, and good programming skills (Python/FORTRAN/C++). Familiarity with Linux operating system (any flavours) is required. Working experience in the field of computational materials science and/or machine learning would be an advantage. Candidate with CSIR-JRF/NET or GATE will be given preference. Students from computer science background and interested in applying machine learning/NLP to materials are welcome.

For more details related to eligibility criteria, fee, pattern, annexure, place of posting etc. refer to the attachments below.

Added Fields

  • Recruitment Type : Direct Recruitment
  • Vacancy : 2
  • Organisation Type : Non-Educational Institution
  • Place of Posting/Admission : Pune, Maharashtra, India
  • Website : www.://jobs.ncl.res.in
  • Post Name : Project Associate-I
  • Post Type : Contractual
  • Start Date : 01/06/2023
  • Last date : 21/06/2023
  • Age Limit : 18 - 35
  • Educational Qualification : Postgraduation
  • Work Experience : Yes
  • Interview : Yes
  • Date of Interview : 14/07/2023
  • Application mode : Online
  • Advertisement Number : 2023/CSIR-NCL/PMC/HCP44-05/241
  • Salary : 31000
  • Recruitment Type : Examination
  • Educational Qualification : Graduation

Event Link

Click here

Event Description

CSIR National Chemical Laboratory invites applications for the following posts via direct recruitment :

Post Name : Project Associate-I

Essential Qualification : Masters Degree in Natural Sciences/MVSc or bachelor’s degree in Engineering or Technology from a recognised University or equivalent

Desirable : M.Sc (Physics/Materials Science/Chemistry) with strong foundation in solid state physics/chemistry, and good programming skills (Python/FORTRAN/C++). Familiarity with Linux operating system (any flavours) is required. Working experience in the field of computational materials science and/or machine learning would be an advantage. Candidate with CSIR-JRF/NET or GATE will be given preference. Students from computer science background and interested in applying machine learning/NLP to materials are welcome.

For more details related to eligibility criteria, fee, pattern, annexure, place of posting etc. refer to the attachments below.

Added Fields

  • Recruitment Type : Direct Recruitment
  • Vacancy : 2
  • Organisation Type : Non-Educational Institution
  • Place of Posting/Admission : Pune, Maharashtra, India
  • Website : www.://jobs.ncl.res.in
  • Post Name : Project Associate-I
  • Post Type : Contractual
  • Start Date : 01/06/2023
  • Last date : 21/06/2023
  • Age Limit : 18 - 35
  • Educational Qualification : Postgraduation
  • Work Experience : Yes
  • Interview : Yes
  • Date of Interview : 14/07/2023
  • Application mode : Online
  • Advertisement Number : 2023/CSIR-NCL/PMC/HCP44-05/241
  • Salary : 31000
  • Salary : 25000
  • Recruitment Type : Examination
  • Educational Qualification : Graduation
a year later

Event Link

Click here

Event Description

CSIR National Chemical Laboratory invites applications for the following posts via direct recruitment :

Post Name : Project Associate-I

Essential Qualification : Masters Degree in Natural Sciences/MVSc or bachelor’s degree in Engineering or Technology from a recognised University or equivalent

Desirable : M.Sc (Physics/Materials Science/Chemistry) with strong foundation in solid state physics/chemistry, and good programming skills (Python/FORTRAN/C++). Familiarity with Linux operating system (any flavours) is required. Working experience in the field of computational materials science and/or machine learning would be an advantage. Candidate with CSIR-JRF/NET or GATE will be given preference. Students from computer science background and interested in applying machine learning/NLP to materials are welcome.

For more details related to eligibility criteria, fee, pattern, annexure, place of posting etc. refer to the attachments below.