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  • Research Assistant (Marketing) Post in IIM Udaipur via Direct Recruitment

    Event Status : Created Event

Timeline

Important Dates

Application Opening Date
07/11/2022

Other Important Information

Appointment Type
Direct Recruitment
Application Submission Method
Online
Qualification Required
Doctorate
Total Vacancies
1
Location of Posting/Admission
Udaipur District, Rajasthan, India, 313002
Department/Subject
Marketing
Post Type
Contractual
Website
https://www.iimu.ac.in/
Organisation Type
Educational Institution
Place of Posting/Admission
Udaipur, Rajasthan, India
Work Experience
Yes
Application Link
https://research.iimu.ac.in/recruitment-form?frm=402375

Note: This information is common for all posts. For details on specific posts, refer to the official notification.

Posts Released

1. Research Assistant

Important Updates

Refer to the official notification for more details.

Application Summary

Indian Institute of Management Udaipur has released a notification for the Research Assistant post. Interested candidates can apply from 07/11/2022. Download the official notification for details on eligibility, post information, job procedure, pay scale, and more.

Indian Institute of Management Udaipur invites applications for the following post via direct recruitment:

Post Name: Research Assistant (Marketing)

Essential Qualification: 

  • Motivation to pursue a Ph.D. in Marketing.

  • Strong interest in and aptitude for behavioral research.

  • An open mind to learn new concepts and skills.

  • Strong writing skills.

  • High standards of work quality – specifically, we want the RA to exhibit: (1) attention to detail, (2) ability to multitask, and (3) absolute commitment to task completion.

Desirable: 

  • A background in Psychology or relevant industry experience in market research / digital marketing roles.

  • Prior understanding of experimental research.

  • Familiarity with a survey design platform (e.g., Qualtrics) and/or an experimental data analysis software (e.g., SPSS).

  • Knowledge of automated text analysis methods (e.g., topic models, latent semantic analysis, word embeddings).

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