研究中心背景： The Shanghai Jiao Tong University (SJTU) and the University of California, Los Angeles (UCLA) are linked by common academic interests and seek to develop collaborations and exchanges in fields of shared interest and expertise. SJTU-UCLA Center for Machine Perception and Inference is involved with creating innovative methodology and solutions using deep and machine learning tailored to the needs of medicine and arts. Center Co-directors: SJTU Prof. Wenjun Zhang (inaugural recipient of Changjiang Scholar, National Science Fund for Distinguished Young Scholar, 973 Chief Scientist，IEEE Fellow), UCLA Prof. Demetri Terzopoulos (FRS, FRSC, IEEE/ACM Fellow, Oscar Technical Achievement Award laureate) Center Academic Committee: Medical Advisor Prof. Ning Guang (CAE), Scientific Advisors Prof. Judea Pearl (Turning Award laureate) etc.
報名地址：
https://join.sjtu.edu.cn/Admin/QsPreview.aspx?qsid=94817242bcf94c3599eec9cd71abd444
| 招聘崗位：科研助理 |
| 招聘人數(shù)：1 名 |
| 聘用方式 |
| 項目聘用A |
| 招聘條件 |
|
研究生教育學歷,碩士及以上學位 · 計算機、電子電機工程、數(shù)學統(tǒng)計等相關專業(yè)， 碩士或博士學歷| Master degree or above in CS/EE, statistics or related field · 在計算機視覺, 機器學習或醫(yī)療影像領域的頂會或期刊上發(fā)表過論文 | Publications in top journals or conferences in the fields of computer vision, machine learning or medical imaging. · 精通機器學習和深度學習庫，如Tensorflow 或Pytorch。對計算機視覺以及機器學習常見算法， 模型和解法有深刻理解。| Proficient with one of the popular deep learning software frameworks, such as Tensorflow or Pytorch. A deep understanding of common families of computer vision and machine learning models, algorithms, and solutions. · 了解計算機視覺和機器學習的一些新興技術（如圖像生成模型，多模態(tài)融合，小樣本學習， 細粒度圖像分類，貝葉斯深度學習等）。Understanding of emerging technologies in computer vision and machine learning such as Generative Models, Multimodal Fusion, Few-shot Learning, Fine-Grained Classification, Bayesian Deep Learning etc. · 工作有規(guī)劃條理，注意細節(jié)；有團隊合作意識和溝通能力 | Detail-oriented, well organized and self-motivated with a continuous drive to learn, explore and be challenged; work well in teams and communicate ideas clearly · 有3年以上使用深度卷積網(wǎng)絡解決分類、目標識別和分割問題經(jīng)驗優(yōu)先 | Prefer 3+ year(s) in using deep learning for classification, detection, segmentation, etc. · 有醫(yī)學影像經(jīng)驗或視頻處理優(yōu)先 | Familiarity with videos or medical images is a plus |
| 崗位職責 |
| 1. Develop deep learning models and provide a layout of the R&D direction for both research engineers and students 2. Publish results in the top conferences and journals in the fields of medical imaging or computer vision 3. Follow and present recent publications in the designated field and topics 4. Draft research proposal, patent and supporting documents for clinical trials 5. Manage the daily research operations of the Center |
| 崗位待遇 |
| 面談 |
| 其他 |
| 請在招聘啟事過期前直接在網(wǎng)上應聘（請確認已點擊廣告右上角“應聘此崗位”按鈕； 請確認個人聯(lián)系方式填寫正確并有效；）。請同時發(fā)郵件到caoyuedi@sjtu.edu.cn，郵件標題為：中心項目代理應聘+姓名 ；郵件附件包括： 1. 個人CV：包括你的學歷、專業(yè)、工作經(jīng)歷等內(nèi)容； 2. 求職申請：簡要說明你為何想要申請這一職位； 3. 相關證書：請附上電子文本。 |
| 聯(lián)系方式 |
|
聯(lián)系人：曹老師 TEL：； E-mail：caoyuedi@sjtu.edu.cn 聯(lián)系地址：上海市閔行區(qū)東川路800號 |
https://join.sjtu.edu.cn/Admin/QsPreview.aspx?qsid=94817242bcf94c3599eec9cd71abd444
為防止簡歷投遞丟失請抄送一份至：boshijob@126.com（郵件標題格式：應聘職位名稱+姓名+學歷+專業(yè)+中國博士人才網(wǎng)）
中國-博士人才網(wǎng)發(fā)布
聲明提示：凡本網(wǎng)注明“來源：XXX”的文/圖等稿件，本網(wǎng)轉載出于傳遞更多信息及方便產(chǎn)業(yè)探討之目的，并不意味著本站贊同其觀點或證實其內(nèi)容的真實性，文章內(nèi)容僅供參考。
