PI：魏然博士北京大學教育學院助理教授研究員

個人簡介：https://www.gse.pku.edu.cn/szdw/jxkyry/jyjzx/152820.htm

一、崗位設立

學生研究助理將參與由北京大學教育學院主導的研究工作以及與哈佛大學醫學院合作的科研項目，依托北京大學教育學院學習科學實驗室開展研究，探究兒童語言習得、認知發展及腦發育的神經基礎及環境因素。

研究團隊采用跨學科、跨文化視角，著眼于發展心理學、心理語言學、神經科學和早期兒童教育的學科交叉，深入探討家庭環境，尤其是親子互動及育兒信念對兒童語言、執行功能和腦神經發展的影響，并設計和評估以家庭為基點的干預措施，旨在為家長提供基于實證研究的育兒知識，促進兒童的健康全面發展。研究團隊常用的數據收集方法包括實驗行為任務、眼動追蹤、腦電、LENA以及對親子互動的詳盡分析，并探討早期語言和認知發展在不同社會、文化和語言環境中的差別，開發基于機器學習的工具，以快捷地評估親子互動質量。誠邀內驅力強、注重細節、對兒童發展及家庭教育充滿熱情的本科生及研究生加入研究團隊。候選人將嘗試運用豐富多樣的數據集挖掘影響兒童發展的家庭因素，完整積累學術研究經驗。此職位尤其適合有志于申請國內外相關領域研究生/博士，意圖豐富科研經歷，期待在導師指導下制定個人發展策略的同學。

二、助研職責

招募被試，安排實驗時間

參與實驗設計和數據分析，并監控數據質量

完成實驗室文檔和手冊的維護

分析及評估親子互動質量

處理來自LENA設備、問卷、神經成像和行為評估的數據

根據個人貢獻，有機會參與論文撰寫及會議投稿并署名

三、助研要求

開始日期：首選開始日期是2023年11月，可根據情況提前或推遲。

入選資格：歡迎對家庭環境和早期發展有濃厚興趣的在京本科和研究生申請，學校不限。

時間投入：由于入選的研究助理將接受嚴格、系統的研究訓練，要求保證每周至少8-10小時的研究時間投入，持續至少一學年。

工作時間：數據分析可按個人節奏進行，提供極大的靈活性。但招募被試及數據收集環節時間相對固定，在晚上或周末可能偶爾工作。

溝通能力：由于需要與哈佛大學醫學院和其他海外機構合作交流，候選人必須具有出色的溝通能力，并且能熟練使用英語進行學術寫作和口頭交流。

教育背景：心理學、神經科學、計算機、教育學、語言學、人類學等學科相關背景對研究工作有一定的幫助，但并非必要。我們堅信，只要有恒心和內驅力，就一定能掌握必要的技能。

工作地點：數據分析可以遠程開展，但數據收集必須現場參與，每兩周或每三周的項目會議或集中培訓須親臨北京大學教育學院參加。

四、優先技能（均為加分項，非必須）：

腦電及眼動數據收集和分析

統計學基礎知識

機器學習和計算機視覺相關技能

編程語言（R、Python或MATLAB等）

孟加拉語和羅馬尼亞語

照護兒童、與家長及兒童互動的經驗

五、助研待遇

尊重學生自主選擇，可按月提供科研補貼或北大相關科研實踐要求的證明。若最終成果可發表論文，有足夠貢獻的同學可署名。

六、聯系方式

請將以下材料合并為一份PDF文件，發送至ranwei@pku.edu.cn（郵件標題注明：應聘某某崗位+本人姓名）

簡短的cover letter

個人簡歷

英文writing sample（5頁之內；加分項，非必須）

職位招滿為止，建議盡快遞交申請。

Research Assistant in Developmental/Educational Psychology

Principal Investigator: Ran Wei, Ph.D., Peking University, Graduate School of Education

Profile: https://www.gse.pku.edu.cn/szdw/jxkyry/jyjzx/152820.htm

We are inviting applications for part-time research assistant positions to join projects centered on the influence of family environments on children's language and neurocognitive development. Operating at the nexus of developmental psychology, neuroscience, linguistics, and early childhood education, Dr. Wei's research delves into the impact of the family environment, especially caregivers' communicative input and beliefs, on the linguistic, EF, and neurocognitive development of young children. We also design and assess interventions aimed at equipping parents from varied ethnocultural and socio-economic backgrounds to bolster their children's learning and overall development. Our core data collection methodologies encompass experimental behavioral tasks, eye-tracking, EEG/ERP, LENA, and fine-grained analyses of both verbal and non-verbal communication. We also develop machine-learning-based tools to assess the quality of parent-child interactions. Adopting an interdisciplinary and cross-cultural perspective, we concentrate on the nuances of early language and cognitive evolution across a spectrum of societies, cultures, and languages.

We are in pursuit of self-motivated, dedicated, and detail-oriented candidates with a passion for child development to contribute to our research endeavors at the Peking University Graduate School of Education and to our collaborative initiatives with Harvard Medical School. Successful candidates will acquire expertise in coding and deciphering intricate parent-child interactions and will utilize diverse, rich datasets to unearth factors influencing early childhood development. This role is ideal for those seeking to enrich their research competencies in anticipation of pursuing advanced degrees and aspiring to craft a comprehensive professional growth strategy in concert with the Principal Investigator. This role guarantees funding for a minimum of one year, with potential extensions based on performance reviews.

Duties:

Recruitment and scheduling of participants

Supporting experimental design, data analysis, and ensuring data integrity

Overseeing lab documentation and manual upkeep

Evaluating videotaped interactions between parents and children

Processing data from LENA devices, surveys, neuroimaging tasks, and behavioral evaluations

Participating in the preparation of presentations and publications as warranted

Requirements:

Startdate: Preferred start date is November 2023; however, flexibility exists for earlier or later commencement.

Eligibility: Open to Beijing-based undergraduate and graduate students with a keen interest in understanding the influence of family environments on early development. Enrollment at Peking University is not a prerequisite.

Commitment: Because RAs will receive systematic and rigorous training on data collection and analysis, a commitment of 8-10 hours per week for at least one academic year is expected.

Work Hours: Data analysis can be conducted at your own pace and we offer immense flexibility. However, occasional work during evenings or weekends might be necessary for participant recruitment events and data collection sessions. Communication: Due to collaboration requirements with Harvard Medical School and other foreign institutions, candidates must possess exemplary communication skills and be highly proficient in English.

Education: Background in psychology, neuroscience, computer science, education, linguistics, anthropology, or a related field is advantageous, though not mandatory. With commitment and perseverance, we have faith that anyone can master the required skills.

Meetings: While remote work is feasible, in-person attendance at bi- or tri-weekly project meetings or trainings is obligatory. In-person participation in data collection is obligatory.

Preferred Skills (not obligatory, but will be viewed favorably):

EEG and eye tracking research experience

Proficiency in statistical analysis  

Familiarity with programming languages such as R, Python, or MATLAB.

Experience with machine learning and computer vision

Language proficiency in Bengali and Romanian

Experience caring for or interacting with young children and their parents

Compensation:

Students may choose to receive a daily wage or certificates, subject to Peking University's regulations. Research assistants making substantial intellectual contributions to the project may be eligible for co-authorship on publications and presentations.

Contact:

Please email one PDF including 1) a cover letter, 2) your CV, and 3) an academic writing sample in English (up to 5 pages; strongly recommended but not required) to Dr. Ran Wei at ranwei@pku.edu.cn. Applications will be accepted until the position is filled.

信息來源于網絡，如有變更請以原發布者為準。

來源鏈接：

https://www.gse.pku.edu.cn/syxw/tzgg/153769.htm

應聘時請將簡歷抄送一份到：chinayanjiusheng@126.com，郵件標題：應聘單位名稱、姓名、學歷、專業、博士研究生招聘網